# 15,866 Verified Jobs in San Francisco (September 2026) > Browse verified jobs in San Francisco. Explore 15,866 active roles updated daily. Apply in one click with the LiftmyCV AI Agent. Canonical HTML: https://www.liftmycv.com/jobs/san-francisco-jobs/ Markdown: https://www.liftmycv.com/jobs/san-francisco-jobs.md Site: https://www.liftmycv.com/ 15,866 Verified Jobs in San Francisco (September 2026) - Updated Daily San Francisco job searches in September 2026 can include a wide mix of roles across local offices, hybrid teams, and remote-friendly employers connected to the Bay Area. Use this page to review current openings in San Francisco without narrowing too early by function or workplace setup. Create an account to explore the full job feed and auto-apply with LiftmyCV AI Agent. ## Expert Marina Galkina, Senior HR Manager, Lead Tech Recruiter, and Career Consultant https://www.linkedin.com/in/marina-galkina-148b93224/ "San Francisco hiring in 2026 still rewards people who can operate close to product, customers, and revenue. The mix tends to span engineering, product, design, operations, analytics, support, and go-to-market roles, with many employers expecting sharper evidence of ownership than a title alone provides. For local and hybrid jobs, candidates often need to show why being near Bay Area teams, users, or partners changes how they work." Marina's Market Take Senior HR Leader & Lead Tech Recruiter ### How to Land a Job in San Francisco in 2026 San Francisco job searches in 2026 usually reward candidates who can explain their lane clearly. A broad search across the city can include software engineering, product, design, operations, sales, customer support, analytics, compliance, finance, and research roles, so your application should not read like a general availability statement. Pick the role family you want, then connect your recent work to that lane in plain terms. For technical roles, emphasize shipped systems, production ownership, security practices, cloud tools, data infrastructure, mobile work, or developer workflows that match the listing. Product and design candidates should show how they worked with engineering, used customer or usage data, made tradeoffs, and moved a feature from problem definition to release. Operations, support, and customer-facing candidates should be specific about ticket volume, process ownership, account types, internal tools, escalation paths, or service-level expectations. - **Position around one job family.** A San Francisco recruiter reading for a product manager, data analyst, or customer success role should see that target within the first few lines of your profile. - **Match the work model.** Many San Francisco listings distinguish on-site, hybrid, and remote expectations. Reference your ability to work with local teams, distributed teams, or office-based schedules only when it fits the role. - **Use local context carefully.** If you have Bay Area startup, enterprise software, fintech, healthcare, climate, marketplace, or infrastructure experience, connect it to the actual job description without turning the application into a company history lesson. - **Prioritize listings by fit.** Apply first to roles where your seniority, tools, domain exposure, and work style line up with the posting, then keep a short list of adjacent roles that share the same core function. LiftmyCV helps you find San Francisco jobs that match your skills, experience, and preferred work style, then auto-apply to relevant roles faster. For **jobs in San Francisco**, keep the resume close to the posting instead of writing one broad version for every application. A finance operations role needs different proof than a product, sales, design, customer support, or engineering role. Lead with the work the employer is asking for: Salesforce or HubSpot for revenue roles, Figma or design systems for design roles, SQL, Excel, Tableau, or Looker for analytics roles, Jira or roadmap work for product roles, and audit, compliance, or vendor controls for operations roles. Cut older responsibilities that don’t connect to the San Francisco posting. A long list of meetings, soft skills, or generic ownership lines takes space away from shipped projects, customer outcomes, process improvements, launch work, reconciliations, pipeline growth, or support metrics. If the role is hybrid or on-site in San Francisco, make local availability clear near your contact details. Use bullets that show scope and tools. Weak: “Helped manage customer accounts and internal reports.” Strong: “Managed 45 enterprise accounts in Salesforce, cleaned renewal data in Excel, and reduced overdue follow-ups by 30% across the San Francisco book of business.” For 2026 applications, present experience in the same language as the job description without stuffing keywords. Certifications such as PMP, CPA, SHRM-CP, Google Analytics, AWS, or Salesforce Admin should only appear when they match the role. For **jobs in San Francisco**, interview prep should match the function behind the posting rather than the city name alone. Engineering candidates may face a coding screen, debugging exercise, or system design discussion, so prepare one example where you made a technical tradeoff and can explain latency, scale, reliability, or maintainability. Product and growth roles often include case prompts, such as sizing an opportunity, diagnosing a funnel drop, or prioritizing a roadmap with limited data. Design candidates should be ready for portfolio reviews that cover process, constraints, user feedback, and the business result of a shipped feature. Operations, support, compliance, and partnerships roles may lean on scenario questions: how you handled an escalation, built a repeatable workflow, reviewed a policy issue, or managed an external relationship. For San Francisco roles in 2026, bring concise stories with metrics where possible, such as reduced cycle time, improved activation, lowered defect rates, or resolved customer issues faster. ## Salary Data for Jobs in San Francisco (September 2026) Review salary information for San Francisco job postings, based on the roles currently listed on this page. Use the 15,866+ active postings as a practical reference point when comparing compensation across openings. | Level | P25 | P50 | P75 | | --- | --- | --- | --- | | Average | 101010.75 | 171275 | 225000 | | Entry | 54152 | 60480 | 91520 | | Mid | 133149.88 | 173475 | 225000 | | Senior | 167375 | 207500 | 255675 | Skills: ["customer service","sales","account management","operations","project coordination","administration","data analysis","reporting","CRM","Microsoft Excel","scheduling","inventory management","vendor management","budgeting","bookkeeping","payroll","recruiting","employee onboarding","marketing campaigns","content creation","social media","product management","software development","quality assurance"] ## Example jobs - **BEST Technical Sales Trainee - Fire - San Francisco, CA — STR Johnson Controls Fire Protection LP — San Francisco-California-United States of America**: **Early Career Sales Engineering (BEST) Program** Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, reduce carbon emissions, and operate with the precision and resilience required in rapidly expanding industries such as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education. For more than 140 years, Johnson Controls has delivered performance where it really matters. Backed by advanced technology, lifecycle services and an industry-leading field organization, we elevate customer performance, turn goals into real-world results and help move society forward. **Launch Your Career in Technical Sales** Our **Building Early Career Sales Training (BEST) Program** is a 6-month development program designed for recent graduates looking to launch a career in technical sales. From day one, you'll be paired with a dedicated mentor and supported by a nationwide network of sales professionals. Through classroom training, hands-on experience, and customer interactions, you'll develop the technical expertise, business acumen, and relationship-building skills needed to succeed in a high-growth sales career. **What You Will Do:** - Participate in a structured 6-month sales development program - Learn Johnson Controls' Fire equipment, services, and building solutions - Support sales activities, proposals, and project opportunities - Build relationships with contractors, architects, engineers, and building owners - Present technical solutions that help customers improve building performance and sustainability - Partner with local sales and operations teams to deliver successful customer outcomes **What We Offer:** - **Competitive Compensation package starting at $89,800, which includes base salary and bonus.** - Medical, dental, vision, and 401(k) benefits starting on Day 1 - Paid vacation, sick time, and floating holidays - Company vehicle - Dedicated mentorship and professional development - Clear career growth opportunities upon program completion - Collaborative and supportive team environment **What We Look For** **Required:** - Bachelor's degree in Business, Communications, Engineering or a related field with an anticipated graduation date of December 2026 or May/June 2027 - Strong analytical, problem-solving, and communication skills - Ability to manage multiple priorities and work collaboratively - U.S. Citizenship or Permanent Residency **Preferred:** - Internship, co-op, engineering, sales, or customer-facing experience - Interest in technical sales and customer relationship management **Check us out:***A Day in the Life at Johnson Controls | Sales Roles* [https://www.youtube.com/watch?v=rS3_3zSHb4Q](https://www.youtube.com/watch?v=rS3_3zSHb4Q) Johnson Controls International plc. is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, genetic information, sexual orientation, gender identity, status as a qualified individual with a disability or any other characteristic protected by law. To view more information about your equal opportunity and non-discrimination rights as a candidate, visit[EEO is the Law](https://www.johnsoncontrols.com/-/media/jci/careers/landing/eeo-is-the-law.pdf). If you are an individual with a disability and you require an accommodation during the application process, please visit [here](mailto:SpecialAccommodations@jci.com?subject=Candidate%20Accommodated%20Requested&body=Hello%2C%20%0A%0AI've%20applied%20to%20an%20opportunity%20and%20require%20an%20accommodation%20during%20the%20application%20process.). - **Community, Barista (San Francisco) — WWM - We Work Management LLC — San Francisco, CA United States of America**: # **About Us** At WeWork, we provide flexible workspace solutions to help businesses of all sizes thrive in more than 37 countries worldwide. The future of work is here, and we’re not just a part of that movement—we’re leading it. United by a desire to build a global community, our purpose is to give members the support to do their best work, and the space to take their ideas to new heights. Join us as we empower tomorrow’s world at work. # **Barista | Community** **Your work, which will include but not be limited to the duties listed below, will help WeWork to achieve the following:** - End to end operation of the Espresso Bar onsite at WeWork. - Provide an outstanding service and experience for WeWork members, guests and WeWork corporate employees. - Create an engaging environment on the main Community floor; focus on building relationships with our members and connecting them through delicious coffee beverages! **​** # **Duties & Responsibilities:** - Daily operation of the Espresso Bar (Working Shift: Monday-Thursday; 7:30am-3:00p) as the sole Barista during this time. - Prepare coffee and espresso drinks by following prescribed recipes and preparation techniques for espresso-based drinks and other offerings. - Educates customers by presenting and explaining the coffee drink menu; answering questions. - Improves quality results by studying, evaluating, and redesigning processes; implementing changes; maintaining and improving the appearance of the store and coffee bar. - Maintains a safe and healthy work environment by following organization standards and sanitation regulations. - Keeps equipment operating by following operating instructions; troubleshooting breakdowns; maintaining supplies; performing preventive maintenance; calling for repairs. - Maintains a clean and well-stocked coffee bar at all times. - Maintains inventories by replenishing coffee bean supply; stocking coffee brewing equipment; maintaining supplies, and any other amenities for the coffee bar. - Provide support when needed to the other community team members at or near the main community front desk. This may include welcoming members with warmth to the space outside of the coffee bar and providing help with any needs. ​ # **Skills:** - Verbal communication - Member-focused hospitality mindset - Basic food safety and sanitation training - Action oriented - Self-starter - Organization - Experience with POS system (Square POS used) - Inventory Management and Ordering through approved WeWork Vendor partnerships and processes. **​** # **Experience and Requirements:** - High school diploma, GED or equivalent. - 1+ year of post High School education preferred - 1+ years experience as a Barista - 2+ years of equivalent experience in a restaurant/hospitality environment. - Up to date food handler certificate **​** ## **Our barista position is a dynamic one! Below we’ve mapped out the physical demands that are essential to the role:** - Very frequently stand and walk for long periods of time during your shift, whether you are standing behind the bar pulling shots or moving inventory from storage to behind the coffee bar. - Very frequently use hands to reach, grip, turn and perform precision work during your shift. You’re using your hands to operate a beautiful espresso machine, pour delicious pour overs, and operate the POS (among other responsibilities). - Frequently squat, bend, twist and reach for items below waist level or above shoulders during your shift. For example, you may have to bend down or reach up to grab cups and towels. - Occasionally lift, push/pull, carry and/or move items like bags of coffee beans, coffee kegs, crates of milk, and dish and trash bins weighing up to 50 pounds. # # **Compensation & Benefits** **Base Pay:**$22 Hourly **Incentive Compensation:** WeWork employees are eligible to participate in an incentive plan specific to their role. Your recruiter will detail what incentive plan is applicable to this specific role. WeWork incentive plans are subject to the terms of the applicable incentive compensation plan, which will be made available to you after commencing employment. WeWork reserves the right to amend its incentive plans, and nothing in this job requisition or any other document creates a right to a specific incentive plan payment. **Benefits:**Full-time employees are eligible for comprehensive benefits (subject to the terms of applicable plans/policies/agreements, which will be made available to you after commencing employment), including: 20 days of PTO, approximately 13 paid holidays, and 80 hours of paid sick time per full calendar year; 16 weeks paid parental leave; competitive healthcare benefits; 401k plan; and life and AD&D insurance. # # **Life at WeWork** Being a WeWorker is more than just a job. We believe the magic of work is sparked by the passion you bring, the places you go, the people you meet and the purpose you follow. And it starts here. Here you will brush shoulders with those who dare to dream and do. Here you will be welcomed by a community that embraces and inspires you—because together we can achieve more. Here we challenge ideas, and explore new ways of getting things done. Whether you are part of our [Employee Community Groups](https://www.wework.com/careers/inclusion/), or part of a global project, we ask you to bring your open-minded attitude and collaborative spirit. In return, you will be part of a team where your unique perspectives are celebrated. WeWork is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon gender, sexual orientation, marital or civil status, pregnancy (or pregnancy-related conditions), gender identity or expression, transgender status or gender reassignment, race, color, national origin or ancestry, citizenship, religion or religious beliefs, age, physical or mental disability, genetic information (including genetic testing and characteristics), military or veteran status, or any other grounds or characteristic that is protected under the law. WeWork is also proud to be an affirmative action employer with respect to veterans and individuals with disabilities. - **Senior Software Engineer, Data — Doximity — San Francisco, CA or Remote (U.S.)**: **About Doximity** Doximity is the leading clinical AI company with the largest network of U.S. clinicians. Doximity’s AI-powered workflow platform is trusted by over 85% of U.S. physicians and 300+ health systems. Doximity's mission is to help clinicians be more productive so they can provide better care for their patients. At Doximity, we value curiosity, ownership, inclusion, and a commitment to making a meaningful impact. If you're excited about solving complex problems that improve healthcare, we'd love to hear from you. ***About the Role*** - ***Foremost a software engineer****.* You exemplify high code quality and guide others, and have at least **5 years** of industry experience as a data engineer or similar role. You are experienced in creating automated testing, applying design patterns, and other engineering best practices. - You are an expert in Python and possess fluency in SQL and have developed maintainable data pipelines with each. ***Hands-on with architecting solutions. ***You have designed several data pipelines from start to finish. Choosing appropriate technologies, building, testing and rollout. ***Experience with aychronous systems.***You are comfortable identifying and applying APIs, streaming, multithreading, and other asynchronous approaches to the right problems. You understand how to monitor and maintain these systems. ***Product mindset. ***You think about the business impact of your work, and can use high-level goals to prioritize work. ***Communication Extraordinaire.*** You excel at communicating to both technical and non-technical people, with an ability to explain complex concepts simply. ***ML/AI–aware.***You have working knowledge of how ML/AI applications are deployed and monitored, and you’re motivated to use this awareness to advance data-driven initiatives. ***Location**: This role is remote in the United States, Canada, or some countries in South America.* ***Here's How You Will Make an Impact*** - *Collaborate with product managers, data analysts, and machine learning engineers to develop pipelines and ETL tasks in order to facilitate the extraction of insights.* - *Understand product requirements and translate them into actionable project plans that you or your peers execute upon. * - *Establish data architecture processes and practices that can be scheduled, automated, replicated and serve as standards for other teams to leverage.* - *Collaborate with your team's Data Leadership to identify and push forward meaningful projects across the commercial org.* ***About Us*** - *[Explore our stack](https://technology.doximity.com/technology-stack)* - *We have over 500 private repositories in Github containing our pipelines, our own internal multi-functional tools, and[open-source projects](https://github.com/doximity)* - *We have worked as a distributed team for a long time;[we're currently about 65% distributed](https://blog.brunomiranda.com/building-a-distributed-engineering-team-85d281b9b1c)* - *Find out more information**on the[Doximity engineering blog](https://engineering.doximity.com/)* - *Our[company core values](https://work.doximity.com/)* - *Our[recruiting process](https://engineering.doximity.com/articles/engineering-recruitment-process-doximity)* - *Our[product development cycle](https://engineering.doximity.com/articles/mofo-driven-product-development)* - *Our[on-boarding & mentorship process](https://engineering.doximity.com/articles/software-engineering-on-boarding-at-doximity)* **Compensation** The anticipated total compensation for this role is $165,000 - $221,000, depending on factors such as experience, skills, location, and internal equity. Our total compensation package may include: - Base salary - Equity (where applicable) - Annual bonus or incentive compensation (where applicable) Specific compensation details will be discussed during the interview process. **Benefits** In addition to competitive compensation, Doximity offers a comprehensive benefits package for full time employees. Some of our offerings include: - Medical, dental, and vision insurance - 401(k) with company match - Flexible paid time off and company holidays - Paid parental leave - Professional development and learning opportunities - Wellness and mental health resources - Remote work support and home office stipend (where applicable) **Why You'll Love Working Here** At Doximity, you'll join a mission-driven company where your work has a meaningful impact on healthcare. We believe great ideas come from empowered teams, and we're committed to creating an environment where people can do their best work. - Make a real impact. Help build products that support over a million healthcare professionals and ultimately improve patient care. - Work with exceptional teammates. Collaborate with thoughtful, talented colleagues who value curiosity, humility, and continuous learning. - Enjoy flexibility and trust. We support flexible ways of working and empower employees with the autonomy to own their work. - Grow your career. Take on meaningful challenges, develop new skills, and shape your career through mentorship and professional development. - Bring your authentic self. We're committed to fostering an inclusive culture where diverse perspectives are welcomed, respected, and celebrated. **Our Hiring Process & AI Tools** Doximity may use artificial intelligence (AI)-enabled tools throughout the hiring process to help improve the candidate experience and support our recruiting team. These tools may assist with administrative tasks such as scheduling, general communication, interview coordination, note-taking, or summarizing interview feedback. Human recruiters and hiring managers make all hiring decisions. We are committed to using AI responsibly, transparently, and in accordance with applicable laws. **Equal Employment Opportunity** *Doximity is proud to be an Equal Opportunity Employer. We are committed to creating an inclusive workplace where everyone can thrive. We consider all qualified applicants without regard to race, color, religion, creed, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, veteran status, genetic information, marital status, or any other characteristic protected by applicable federal, state, or local law.* *If you require a reasonable accommodation during the application or interview process, please let us know so we can support your participation.* - **Senior Manager, Pricing & Yield — Doximity — San Francisco, CA or Remote (U.S.)**: # **Senior Manager, Pricing and Yield** **Location:** Remote, United States Doximity is the leading clinical AI company with the largest network of U.S. clinicians. Doximity’s AI-powered workflow platform is trusted by over 85% of U.S. physicians and 300+ health systems. Doximity's mission is to help clinicians be more productive so they can provide better care for their patients. At Doximity, we value curiosity, ownership, inclusion, and a commitment to making a meaningful impact. If you're excited about solving complex problems that improve healthcare, we'd love to hear from you. —- **About the Role** We're looking for a Pricing & Yield Management professional to join our team and drive strategic decisions that directly impact business outcomes. In this role, you'll be at the intersection of sales, product, and finance teams, translating data into pricing strategies that optimize revenue while balancing scale and growth. You'll split your time between strategic operational decisions and building the foundations of new monetization approaches, specifically a biddable auction environment. **How You'll Make an Impact** - Drive strategic pricing and inventory allocation decisions as part of the team's operational rhythm—decisions that directly influence business performance - Partner across sales, product, deal desk, and other teams to understand market dynamics and inform pricing strategy - Own the development and optimization of our new biddable auction environment from day 1, defining the pricing logic and strategy that powers this monetization model - Build the analytical frameworks that enable data-driven decision-making at scale across our pricing strategy - Identify inefficiencies and opportunities in our pricing approach, then develop the systems and processes to capture them **What We’re Looking For:** We're excited to meet candidates who have many of the following qualifications: - 7-10 years of relevant experience in advertising pricing and yield management - Deep experience with biddable and auction environments - Ability to clearly and effectively communicate and maintain relationships across a wide range of partner teams - An analytical problem solver with strong attention to detail ## **Compensation** The anticipated total compensation for this role is depending on factors such as experience, skills, location, and internal equity. Our total compensation package may include: - Base salary - Equity (where applicable) - Annual bonus or incentive compensation (where applicable) Specific compensation details will be discussed during the interview process. ## **Benefits** In addition to competitive compensation, Doximity offers a comprehensive benefits package for full time employees. Some of our offerings include: - Medical, dental, and vision insurance - 401(k) with company match - Flexible paid time off and company holidays - Paid parental leave - Professional development and learning opportunities - Wellness and mental health resources - Remote work support and home office stipend (where applicable) ## **Why You'll Love Working Here** At Doximity, you'll join a mission-driven company where your work has a meaningful impact on healthcare. We believe great ideas come from empowered teams, and we're committed to creating an environment where people can do their best work. - **Make a real impact.** Help build products that support over a million healthcare professionals and ultimately improve patient care. - **Work with exceptional teammates.** Collaborate with thoughtful, talented colleagues who value curiosity, humility, and continuous learning. - **Enjoy flexibility and trust.** We support flexible ways of working and empower employees with the autonomy to own their work. - **Grow your career.** Take on meaningful challenges, develop new skills, and shape your career through mentorship and professional development. - **Bring your authentic self.** We're committed to fostering an inclusive culture where diverse perspectives are welcomed, respected, and celebrated. ## **Our Hiring Process & AI Tools** Doximity may use artificial intelligence (AI)-enabled tools throughout the hiring process to help improve the candidate experience and support our recruiting team. These tools may assist with administrative tasks such as scheduling, general communication, interview coordination, note-taking, or summarizing interview feedback. Human recruiters and hiring managers make all hiring decisions. We are committed to using AI responsibly, transparently, and in accordance with applicable laws. ## **Equal Employment Opportunity** *Doximity is proud to be an Equal Opportunity Employer. We are committed to creating an inclusive workplace where everyone can thrive. We consider all qualified applicants without regard to race, color, religion, creed, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, veteran status, genetic information, marital status, or any other characteristic protected by applicable federal, state, or local law.* *If you require a reasonable accommodation during the application or interview process, please let us know so we can support your participation.* - **Senior Software Engineer - Safety Experience — Discord — San Francisco Bay Area or Remote (U.S.)**: Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: **play video games.** Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. As a Senior Engineer on the Safety Experience team, you'll lead the charge in making Discord's platform safer for hundreds of millions of users. You'll design, build, and maintain product features and systems that prevent harmful activities while ensuring regulatory compliance. Keeping users safe is essential for Discord's growth, making your team's work critical. This role reports to the Engineering Manager of Safety Experience. ### **What you'll be doing** - Lead development of highly‑visible, user‑facing products that protect Discord's users. - Design, build, and deploy robust production APIs, backend services, and data pipelines to launch safety features at scale. - Collaborate cross‑functionally with Product, Design, Policy, Data Science, ML, Legal, and T&S Operations to create solutions that are both impactful and lovable. - Iterate on in-house tooling to supercharge our T&S workflows. - Respond rapidly to the ever‑evolving abuse and compliance landscape. ### **What you should have** - 5+ years experience writing Python and utilizing back-end API frameworks (Flask, Django). - 5+ years experience developing front-end interfaces with JavaScript (React, TypeScript) for both web and mobile platforms. - Familiarity with databases such as Cassandra, Postgres, and ScyllaDB. - Demonstrated success leading end‑to‑end delivery of complex projects: breaking down ambiguity, coordinating rollouts, and aligning stakeholders. - Demonstrated ability to troubleshoot, debug, and test complex systems in a live, production environment. - Exceptional communication and collaboration skills, with the ability to work well with cross-functional partners, designers, and other engineers. - Experience using metrics and dashboards to make data-driven decisions and develop insightful reports. ### **Bonus Points** - Experience in the Safety or Anti‑Abuse domain. - Experience analyzing and visualizing data using Datadog or Mode. - Familiarity with real‑time streaming systems like Kafka or Pub-Sub. - Ability to contribute to offline analytics jobs and processes. - Experience building and operating mobile‑client features on iOS and Android. - Exposure to lower‑level languages such as Go, Rust, and Elixir. - A strong moral compass that drives you to protect users and do the right thing. *The US base salary range for this full-time position is $196,000 to $245,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.* **Why Discord? ** Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. **Join us in our mission! Your future is just a click away!** **Discord is committed to inclusion and providing reasonable accommodations during the interview process.**We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know. ***Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking [HERE.](https://discord.com/terms/applicant-candidate-privacy-policy)*** - **Head of Element Pay — EFCOR Element Fleet Corporation — United States San Francisco**: ## ***Get started on an exciting career at Element!*** Element employees make a difference in the lives of others every day. We are re-defining the fleet management industry to be people first, then business – delivering on our promise of a superior client experience. This takes hard work and innovation, and we need more like-minded people on our team. **THE OPPORTUNITY** Element Pay is Element Mobility's fleet payments business and a significant growth opportunity. Fleets move substantial spend through fuel, tolls, violations, maintenance and service payments, creating an opportunity to modernize how those transactions are initiated, managed and reconciled. With vehicle-initiated payments technology in the portfolio, Element Pay brings payments capabilities together with Element's client relationships, distribution and fleet-management ecosystem. The opportunity is to scale the platform across the client base and expand into adjacent fleet payment and connected-vehicle use cases. As VP Payments, you will lead the strategy, growth and end-to-end performance of Element Pay. This is a general-management role with P&L accountability and leadership across product, engineering, commercial, operations and go-to-market disciplines. You will shape where Element builds, buys or partners; set the product and commercial roadmap; develop the partnership ecosystem; and build the operating discipline and leadership capability required to scale the business sustainably. **WHAT YOU WILL OWN** - Own the Element Pay P&L end to end, including revenue, unit economics, cost structure, investment decisions, profitability and growth priorities. - Set the business and product strategy and roadmap, deciding where to build, buy or partner and which capabilities will create differentiated client and business value. - Scale vehicle-initiated payments across Element's client base and expand the platform into relevant fleet payment and connected-vehicle use cases. - Lead product and engineering priorities from concept through launch and continuous improvement, ensuring solutions are scalable, reliable and commercially viable. - Build and manage strategic partnerships across merchant and fuel networks, issuers, processors, OEMs and technology providers, including pricing and partnership structures. - Lead and develop the cross-functional Element Pay organization, maintain clear accountability and operating rhythms, and represent the business with senior leadership and key stakeholders. **WHAT SUCCESS LOOKS LIKE** - Element Pay has a clear strategy and roadmap that aligns product, technology, commercial and investment priorities. - Business performance is managed with disciplined attention to P&L, unit economics, profitability, growth and corrective action. - The payments platform scales reliably across Element's client base and expands into commercially viable adjacent use cases. - Strategic partnerships and go-to-market choices strengthen platform reach, adoption and economics. - The Element Pay organization has strong leadership, clear accountability and senior-stakeholder alignment. **LOCATION:** San Francisco **COMPENSATION** The hiring base salary range for this position is $175,200 - $240,900 annually. This range represents the Company's good-faith estimate of the expected base salary at the time of posting. Salary ranges may vary based on the geographic location where the work is performed. The salary range listed in this posting applies only to the location identified. Actual compensation will be determined based on several factors, including the successful candidate's qualifications, knowledge, skills, experience, internal pay equity, and relevant market data. In addition to base salary, eligible employees may participate in annual incentive programs, including bonuses, commissions, or other incentive compensation, as applicable to the role. Element also offers a comprehensive benefits package, which may include health insurance, tuition reimbursement, and retirement savings plans. **What’s in it for You** • A culture of innovation, empowerment, decision-making, and accountability • Comprehensive health and welfare benefits that serve the needs of you and your family and foster a culture of wellness • Additional benefits and amenities, including paid time-off programs (vacation, sick leave, and holidays) Applicants will be required to undergo a background check only if and after a conditional offer of employment has been extended. *Element Fleet Management and its wholly owned subsidiaries are an equal opportunity employer committed to diversity, equity, inclusion, and belonging. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, genetic information, sex, gender identity, sexual orientation, age, marital status, family status, ancestry, national origin, citizenship, physical or mental disability, veteran status, military obligations or any other characteristic protected by federal, state and local laws. Disability-related accommodations during the application and interview process are available upon request. Should you require an accommodation with our hiring process please send an email to*[*talentacquisition@elementcorp.com*](mailto:talentacquisition@elementcorp.com)*or call (800) 665-9744. Element Fleet Management also uses AI-assisted tools to help screen and assess applications. These tools analyze information you provide (for example, your rēsumē and screening responses) to identify job-related skills, qualifications, and experience. AI outputs do not by themselves determine whether you advance or receive an offer – they assist recruiters and hiring managers. Final hiring decisions are made by people.* [Know Your Rights: Workplace discrimination is illegal](http://www.elementfleet.com/binaries/content/assets/pdf/22-088_eeoc_knowyourrights-screenrdr.pdf) - **Senior Backend Integration Engineer — EFCOR Element Fleet Corporation — United States San Francisco**: ## ***Get started on an exciting career at Element!*** Element employees make a difference in the lives of others every day. We are re-defining the fleet management industry to be people first, then business – delivering on our promise of a superior client experience. This takes hard work and innovation, and we need more like-minded people on our team. **About the Role** We’re looking for a technical leader to join our team as Senior Backend Integration Engineer. In this role, you will design, build, and maintain the API gateway and integration layer that connect Element Pay services and external systems. You will be accountable for secure, reliable, and scalable service integration, with primary ownership of authentication and authorization, cross-service API delegation, caching, external notification infrastructure, and the engineering standards that support safe operation and evolution of these capabilities. You will also set technical direction for the integration domain through design documentation, architecture discussions, code review, production support, incident follow-up, and mentoring. **What You’ll Do** - Architect and build the API gateway, including routing, schema and request validation, rate limiting, and edge policies, to provide a secure, reliable, and scalable entry point to the Element Pay platform. - Design and maintain the integration layer and service interfaces, including GraphQL schemas, gRPC contracts, and service-to-service delegation patterns, to enable consistent and dependable communication across internal services and third-party systems. - Own authentication and authorization capabilities, including token issuance and validation, session handling, scoped credentials, SSO integrations, and identity propagation, to protect platform access and support secure enterprise integration. - Design and operate caching and outbound notification capabilities, including cache invalidation, webhooks, retry and backoff policies, dead-letter handling, and delivery guarantees, to improve performance and provide resilient external event delivery. - Build automated unit, integration, and contract testing and instrument services with metrics, traces, logs, and alerts, to maintain change safety, observability, performance, and production reliability. - Set technical direction for the integration domain through design documentation, architecture discussions, code review, production support, incident follow-up, and mentoring, to strengthen engineering practices and continuously improve platform resilience. - Owns assigned systems and technical outcomes end to end and provides technical guidance to other engineers through design review, code review, pairing, documentation, and mentoring. - Anticipates and resolves non-routine production and integration problems, establishes reusable patterns, and improves engineering approaches to authentication, service communication, caching, notification delivery, testing, and observability. **Basic Qualifications** - 6+ years of professional backend engineering experience, including significant experience with distributed systems or platform/infrastructure engineering. - Strong proficiency in TypeScript (Node.js) and/or Go, with depth in at least one and ability to work effectively in the other. - Production experience with GraphQL and/or gRPC, including schema or service-contract design, performance, versioning, and backward compatibility. - Hands-on experience designing, building, or operating API gateways, service meshes, backend-for-frontend layers, or comparable integration infrastructure. - Practical experience with authentication and authorization technologies and patterns, including OAuth 2.0, OIDC, JWTs, mTLS, and API key management. - Experience with asynchronous and event-driven architecture using message queues, pub/sub, or event-streaming technologies. **Preferred Qualifications** - Education: College/University degree preferred. - Experience with federated GraphQL or gRPC gateway patterns. - Experience building partner- or customer-facing APIs, developer documentation, SDKs, or sandbox environments. - Experience designing webhook delivery at scale, including signing, replay protection, ordering, and partner-side troubleshooting. - Familiarity with Protocol Buffers and API gateway technologies such as Envoy, Kong, Traefik, or Kubernetes Gateway API. - Experience with observability platforms and standards such as OpenTelemetry, Datadog, Prometheus, or Grafana. **Location**: San Francisco **Compensation** The hiring base salary range for this position is $132,500- $182,160 annually. This range represents the Company's good-faith estimate of the expected base salary at the time of posting. Salary ranges may vary based on the geographic location where the work is performed. The salary range listed in this posting applies only to the location identified. Actual compensation will be determined based on several factors, including the successful candidate's qualifications, knowledge, skills, experience, internal pay equity, and relevant market data. In addition to base salary, eligible employees may participate in annual incentive programs, including bonuses, commissions, or other incentive compensation, as applicable to the role. Element also offers a comprehensive benefits package, which may include health insurance, tuition reimbursement, and retirement savings plans. **What’s in it for You** • A culture of innovation, empowerment, decision-making, and accountability • Comprehensive health and welfare benefits that serve the needs of you and your family and foster a culture of wellness • Additional benefits and amenities, including paid time-off programs (vacation, sick leave, and holidays) Applicants will be required to undergo a background check only if and after a conditional offer of employment has been extended. *Element Fleet Management and its wholly owned subsidiaries are an equal opportunity employer committed to diversity, equity, inclusion, and belonging. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, genetic information, sex, gender identity, sexual orientation, age, marital status, family status, ancestry, national origin, citizenship, physical or mental disability, veteran status, military obligations or any other characteristic protected by federal, state and local laws. Disability-related accommodations during the application and interview process are available upon request. Should you require an accommodation with our hiring process please send an email to*[*talentacquisition@elementcorp.com*](mailto:talentacquisition@elementcorp.com)*or call (800) 665-9744. Element Fleet Management also uses AI-assisted tools to help screen and assess applications. These tools analyze information you provide (for example, your rēsumē and screening responses) to identify job-related skills, qualifications, and experience. AI outputs do not by themselves determine whether you advance or receive an offer – they assist recruiters and hiring managers. Final hiring decisions are made by people.* [Know Your Rights: Workplace discrimination is illegal](http://www.elementfleet.com/binaries/content/assets/pdf/22-088_eeoc_knowyourrights-screenrdr.pdf) - **Senior Variable Compensation Manager — Crusoe — San Francisco, CA - United States**: Crusoe is on a mission *to accelerate the abundance of energy and intelligence*. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. **About the Role:** As a Senior Variable Compensation Manager, you will play a key role on the Total Rewards team, specifically providing strategic and operational support across Crusoe’s variable compensation programs. You will work closely with the Director of Variable Compensation, VP of Total Rewards, CPO, as well as other senior leaders at Crusoe to help design and deliver data-driven solutions that help us attract and retain top talent. This is a highly visible, hands-on role for a proactive and self-starting professional who will thrive in a fast-paced startup environment. This is a unique opportunity to build incentive programs from inception to operationalisation. To be successful in this role, candidates must have the ability to contextualise ambiguous requests, leveraging advanced analytical and modeling skills, in order to produce simple and reliable data driven insights. Ability to think outside of the box and deliver custom solutions is a major core competency. **What You'll Be Working On:** - **Incentive Program Design** Participate in the strategy, design, implementation and ongoing improvement of traditional (GTM) and non traditional incentive programs. - Lead end-to-end administration and governance of incentive programs - drafting plan documentation, modeling, achievement calculations, validation, and payout execution. - Serve as a point of accountability for incentive plan accuracy, compliance, and operational integrity. - Ensure all employees on a variable plan have a signed plan document in a smooth and trackable fashion. - Analyze program effectiveness, cost, and performance outcomes; proactively surface insights and recommendations to leadership. - Work on market research and cost modeling in order to help design competitive incentive programs for non-direct sales groups. - Partner with Finance, Accounting, and RevOps to ensure accurate compensation forecasting, accruals, and budget management. - Collaborate with the Internal Communications and HR team to effectively roll out and educate managers and eligible employees on variable compensation programs. **Data and Analytics:** - Deliver complex modeling of ambiguous plan design. - Navigate data integrity issues in order to produce reliable insights. - Partner with HRIS and People Analytics to design, build, and maintain compensation dashboards that enable quick review of market positioning for short and long term incentives and budget utilization needs. - Help improve data integrity and optimize HR tech stack functionality for incentives tracking and accuracy. - Explore and pilot AI and automation tools to streamline repetitive tasks and enhance predictive analytics capabilities - Develop measurable metrics to track incentive program performance. **What You'll Bring to the Team:** - **Experience:**7+ years of compensation experience, with a mix of start up and large tech company experience. Fast pace start up experience preferred. - Experience with end-to-end ownership of incentive programs including design, modeling, and administration is a strong plus. - Experience with presenting and influencing senior leadership preferred. - **Preferred Experience:** Modeling/forecasting experience is a key competency. - **Core Competencies:** Deep knowledge of incentive-based compensation programs. - **Skills:**Exceptional analytical skills with a proficiency in spreadsheet software and experience with large datasets. Ability to navigate data integrity issues effectively in order to produce reliable dashboards and analytics. Strong communication skills with the ability to simplify complex concepts and present recommendations to diverse audiences, including senior leaders. - A proven ability to work autonomously and manage multiple projects in a fast-paced environment. - Proficiency with HRIS systems (Rippling, Workday, Pave) preferred. - Strong project management skills with the ability to manage multiple concurrent initiatives - Experience working with senior leadership preferred **Benefits:** - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location **Compensation Range** Compensation will be paid in the range of up to $175,000 - $215,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. - **Senior Director Competitive Intelligence & Strategy LillyDirect — Eli Lilly and Company — United States: South San Francisco**: At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us. At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing, and delivering medicines that help them live longer, healthier, more active lives. Lilly is making transformational investments in direct-to-consumer healthcare delivery through LillyDirect and other digital health initiatives. LillyDirect’s mission is to deliver a world-class consumer healthcare experience by transforming how patients access Lilly’s innovative medicines and digital health solutions through an end-to-end consumer health platform. **Position Overview** The Senior Director Competitive Intelligence & Strategy will serve as strategic operating partner to the CFO LillyDirect and the broader LillyDirect leadership team, providing competitive insight, evaluating partnership opportunities across the healthcare ecosystem and providing recommendations to shape LillyDirect’s growth strategy. This role will report to the CFO of LillyDirect. **Key Responsibilities** **Competitive Intelligence** - Monitor industry trends in digital health, direct-to-consumer healthcare, and health-tech business models to identify opportunities and risks - Translate competitive insights into strategic recommendations to LillyDirect leadership team on the implications of competitors' activities and recommend proactive strategies. - Engage with external industry peer groups and organizations to benchmark best practices for consumer digital health activities and make recommendations to LillyDirect leadership team for best practices implementation. - Champion efforts to challenge the status quo and drive solutions that help LillyDirect reach its goals **Market Monitoring** - Work with marketing and market research teams to synthesize insights on current and potential customers - Monitor industry trends and other relevant developments in the direct to patient and consumer digital health industries. **Strategy** - Contribute to the execution of LillyDirect’s overall business strategy, including market expansion and new service offerings. - Serve as a trusted strategic advisor and operating partner to the LillyDirect leadership team providing strategic perspective on business decisions. - Lead the annual Strategic Plan exercise for LillyDirect **Partnership Business development opportunities** - Evaluate partnerships across the healthcare ecosystem, including pharmacy partners, telehealth platforms, health systems, payers, and technology providers. - Evaluate potential acquisitions that can enhance the speed, capabilities and geographic reach of LillyDirect. **Basic Qualifications** - Bachelor's degree - 10+ years of experience evaluating external market dynamics — such as industry trends or business landscape analysis — gained through strategy consulting, competitive intelligence, corporate strategy, or a comparable external-facing role. **Preferred Qualifications** **Prior Experiences** - MBA or equivalent advanced degree - Competitive intelligence and/or strategy experience within an ecommerce, healthcare technology company, digital health platform, or health-tech startup/scale-up. - Experience with direct-to-consumer or direct-to-patient business models, including e-commerce, subscription, or marketplace economics. - Candidates with experience spanning both health-tech and pharma environments are especially valued. **Skills** - External Focus – demonstrate ability to develop external network and engage with external industry peer groups and organizations to benchmark best practices - Strategic Thinking - demonstrate ability to identify problems and opportunities, develop viable alternative strategies, and recommend a clear, implementable course of action in a rapidly evolving market. - Speed - work in a fast-paced, ambiguous environment and manage multiple priorities - Business Partnership - viewed as a trusted strategic advisor and operating partner; able to influence decisions and shape strategy through insight and facts. - Communication - excellent written and verbal communication skills, with the ability to communicate clearly with internal cross-functional stakeholders and external partners. - Innovation & Agility - demonstrate a growth mindset; builds systems and processes designed for scale while remaining flexible enough to adapt to a fast-moving health-tech environment. **Additional Information** - Travel Requirement: Up to 10%, primarily domestic travel depending on business need - Lilly may provide support for or sponsor work authorization or visas for this role for internal applicants only. Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ([https://careers.lilly.com/us/en/workplace-accommodation](https://careers.lilly.com/us/en/workplace-accommodation)) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia (AMECA), Black Employees at Lilly (BE@Lilly), Chinese Culture Network (CCN), EnAble, Evolve, Lilly Indian Network (LIN), Organization of Latinx at Lilly (OLA), Pride (LGBTQ+ Allies), Veterans Leadership Network (VLN) and Women’s Initiative for Leading at Lilly (WILL). Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $181,500 - $266,200 ### Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly - **Director of Construction — Crusoe — San Francisco, CA - United States**: Crusoe is on a mission *to accelerate the abundance of energy and intelligence*. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. **About the Role:** The Project Executive will lead and oversee multiple modular data center construction projects nationally, which are critical to Crusoe’s Digital Infrastructure segment. As a key leader within the organization, you will ensure the successful delivery of multiple complex projects—on time, within budget, and to the highest quality standards. **What You'll Be Working On:** - You’ll lead complex, multi-site AI Data Center construction projects - You’ll help build and lead teams of construction industry professionals - Interface with multiple internal teams including our Spark product team, cloud and networking teams, and factory colleagues - Work with large scale budgets - Operate as a key leader on some of the most innovative projects in the data center industry - Travel as needed (up to 40%) to oversee multiple project sites and investigate future sites **What You'll Bring to the Team:** - You have over 10 years of experience in construction management of mission critical projects. Preferred experience building hyperscale data centers, battery energy storage facilities, substation development, or very complex manufacturing facilities - You have a proven track record of managing and delivering very challenging projects and delivering on time and on (or under) budget - You have deep understanding of construction best practices, methodologies, budgeting, scheduling, and quality management - You enjoy the challenge of working under tight deadlines **Benefits:** - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location **Compensation Range** Compensation will be paid in the range of up to $238,000 -$280,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. - **Machine Learning Scientist I / II, Protein Design — Lila Sciences — San Francisco, CA United States**: **Your Impact at LILA** Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine. Within Life Sciences AI, the AI for Protein Engineering team builds models and systems that take a biologic from design specification to wet-lab validated lead. We're hiring a machine learning scientist to design molecules on real programs and turn what they learn into capabilities that generalize across programs. The ideal candidate is an exceptional builder with strong biological intuition: someone who can turn work on individual campaigns into reliable, extensible systems that improve how we design molecules across programs. You'll work closely with domain scientists, platform teams, and AI researchers to connect specialist protein design models to Lila's broader autonomous science platform. **What You'll Be Building** - Design molecules for active biologics programs, partnering with domain scientists to translate target, mechanism, and experimental constraints into actionable design hypotheses. - Develop reasoning capabilities for drug discovery, including orchestrating design workflows. - Design and maintain benchmarks and evaluation infrastructure that measure whether design workflows produce useful, generalizable decisions across biologics programs. - Own operations around reproducibility, throughput, and inference cost of computational design workflows. - Work with domain scientists to understand how designs are prioritized and turn that judgment into ML objectives and evaluation criteria. **What You'll Need to Succeed** - MS or PhD in computer science, machine learning, computational biology, biophysics, bioengineering, or a similar quantitative field. - Strong software engineering and system design fundamentals. - Rigor in evaluation and dataset design: how benchmarks leak, why a good validation number fails downstream, and how to measure whether an automated system is making good decisions. - Strong cross-functional communication skills. - Domain expertise in protein sequence, structure, and function. **Bonus Points For** - Experience building reasoning models, agents, planning systems, or multi-step ML orchestration. - Exposure to designing antibodies, nanobodies, enzymes, peptides, or other therapeutic proteins within design-test-learn loops. - Experience in developing evaluation harnesses, model registries, or benchmark suites. - Training or serving models at scale: distributed training, GPU efficiency, high-throughput inference. - Publications, open-source contributions, or applied research outputs in AI for Science venues. **Compensation** We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact. **U.S. Benefits.** Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program. **International Benefits.** Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market. Expected Base Salary Range $176,000—$304,000 USD **About LILA** Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves. LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai. Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply. **We’re All In** Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Information you provide during your application process will be handled in accordance with our [Candidate Privacy Policy](https://www.lila.ai/candidate-privacy-policy-notice). **A Note to Agencies** *Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.* - **ML Scientist I/II, AI for Protein Engineering — Lila Sciences — San Francisco, CA United States**: **Your Impact at LILA** Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine. Within Life Sciences AI, the AI for Protein Engineering team develops and applies generative and predictive models that move biomolecule design programs from in silico hypothesis to wet-lab validated leads. We are looking for an ML Scientist I/II focused on AI for protein engineering. The work spans active protein engineering programs and focused technology development that improves how Lila designs, evaluates, and learns from biomolecular sequence, structure, and function data. This role sits at the intersection of machine learning, protein engineering, and therapeutic design. The ideal candidate brings strong ML fundamentals, curiosity about protein biology, and interest in computationally designed, wet-lab-validated biologics. You’ll collaborate with experimental scientists, AI researchers, and platform teams to build models and workflows that support Lila’s broader autonomous science platform. **What You'll Be Building** - Build ML workflows for protein engineering campaigns, from design specification through experimental learning. - Develop and adapt methods spanning de novo generation, sequence- or structure-based property prediction, candidate selection, and active learning. - Integrate protein design methods into robust software systems and broader reasoning models. - Translate therapeutic and biological questions into well-defined ML problems, model outputs, and evaluation plans. - Partner with experimental scientists to interpret why designed biomolecules succeed or fail, then turn those insights into model improvements. - Build evaluation frameworks for model generalization to challenging biologics design problems. **What You'll Need to Succeed** - PhD in Computational Biology, Computer Science, Machine Learning, Biophysics, Bioengineering, or a related quantitative field. - Experience applying machine learning to protein design, biologics engineering, or related biomolecular design problems. - Strong ML fundamentals, with hands-on experience developing, adapting, training, or evaluating modern AI methods. - Fluency with biological sequence, structure, function, developability, or experimental validation considerations. - Ability to translate therapeutic or biological objectives into computational design problems and model evaluation plans. - Strong collaboration and communication skills across ML, biology, experimental science, and software teams. **Bonus Points For** - Experience designing antibodies, nanobodies, enzymes, peptides, or other therapeutic proteins. - Experience with structure prediction, generative protein design, diffusion models, flow matching, or protein language models. - Familiarity with structural biology, conformational dynamics, developability, affinity maturation, or other biophysical constraints. - Experience closing design-test-learn loops with wet-lab teams, including experimental prioritization, high-throughput validation, and active learning. - Industry experience translating ML research into practical biological design workflows, experimental campaigns, or platform capabilities. - Publications, open-source contributions, or applied research outputs in AI for science venues. **Compensation** We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact. **U.S. Benefits.** Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program. **International Benefits.** Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market. Expected Base Salary Range $176,000—$304,000 USD **About LILA** Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves. LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai. Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply. **We’re All In** Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Information you provide during your application process will be handled in accordance with our [Candidate Privacy Policy](https://www.lila.ai/candidate-privacy-policy-notice). **A Note to Agencies** *Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.* ## Related - [Jobs in the US](/jobs/us-jobs/) - [Remote Jobs in the US](/jobs/remote-jobs-us/) - [Jobs in New York](/jobs/new-york-jobs/) - [Jobs in Los Angeles](/jobs/los-angeles-jobs/) - [Jobs in Chicago](/jobs/chicago-jobs/) - [Software Developer Jobs](/jobs/software-developer-jobs/) - [Product Manager Jobs](/jobs/product-manager-jobs/) - [Machine Learning Engineer Jobs](/jobs/machine-learning-engineer-jobs/) - [DevOps Engineer Jobs](/jobs/devops-engineer-jobs/) - [UX Designer Jobs](/jobs/ux-designer-jobs/) - [Marketing Jobs](/jobs/marketing-jobs/) - [Sales Jobs](/jobs/sales-jobs/) ## FAQ ### How do I find jobs in San Francisco in 2026? Start with the current San Francisco listings on this page and filter for roles that match your experience level, commute needs, and work preferences. Because this page is focused only on jobs in San Francisco, it can help you review local openings without sorting through unrelated locations. ### Are there entry-level jobs in San Francisco on this page? This San Francisco jobs page may include openings across different experience levels when those listings are available. For entry-level roles, read the requirements closely and look for postings that emphasize training, junior responsibilities, internships, coordinator duties, or limited prior experience rather than senior ownership. ### Can I use this page to look for remote or hybrid jobs in San Francisco? Yes, if a San Francisco listing includes a remote, hybrid, or on-site detail, use that workplace pattern to decide whether it fits before applying. Some roles tied to San Francisco may still expect local availability, so check the job description for office expectations, meeting schedules, or location-based requirements. ### What should I check before applying to jobs in San Francisco? Before applying to a San Francisco job, review the title, required experience, listed responsibilities, workplace format, and any location notes. If the posting mentions specific tools, certifications, or industry background, make sure your resume reflects those items clearly before submitting an application in September 2026. ### How often should I check for new jobs in San Francisco? For a location-focused page like Jobs in San Francisco, it’s practical to check regularly during an active search, especially if you’re applying across multiple role types. New listings can appear at different times, so reviewing the page throughout September 2026 can help you catch openings that fit your background sooner. ### Is this page only for people already living in San Francisco? No, the page is useful for anyone targeting jobs in San Francisco, including people already local and people planning a move. Read each posting for location expectations, since some San Francisco roles may require local interviews, office attendance, or availability during Pacific time business hours. ### Apply to San Francisco Jobs with Less Manual Work Use LiftmyCV to match with San Francisco openings, tailor your resume for each role, and auto-apply across jobs that fit your background.