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applied scientist

Tamarind Bio

<div><h1 class="jobSectionHeader">About Tamarind Bio</h1>
We enable any scientist to access AI-powered drug discovery. Thousands of scientists from large pharma companies, top biotechs, and academic institutions use Tamarind to design protein drugs, improve industrial enzymes, and create cutting edge molecules that weren&rsquo;t feasible until now.
New AI models are quickly eclipsing physics-based tools in computational drug discovery. Scientists often struggle to fine-tune, deploy, and scale these models, leaving breakthroughs on the table. Tamarind provides a simple interface to the vast array of tools being released daily.
Staff Software Engineer / Technical Lead
We're hiring a Staff Software Engineer to provide technical leadership across our engineering team as we continue to scale the platform behind Tamarind.
Today, our engineering team consists primarily of early and mid-career engineers. As the complexity of our systems and customer requirements continues to grow, we're looking for someone who can help guide technical decision-making, mentor engineers, and drive architectural discussions across the organization.
This is not an engineering management role.
We're looking for a hands-on technical leader who enjoys writing code, reviewing designs, solving difficult engineering problems, and helping other engineers grow. You'll work closely with the CTO to shape technical direction while remaining deeply involved in execution.
The role spans architecture, infrastructure, product development, code reviews, technical mentorship, and engineering best practices.
What You'll Do<ul><li>
Partner with the CTO on architecture, technical planning, and major engineering initiatives</li><li>
Provide technical guidance across a team of 7-8 engineers</li><li>
Lead design reviews and architectural discussions</li><li>
Help engineers navigate complex technical challenges</li><li>
Contribute directly to the codebase across infrastructure, backend services, APIs, and product development</li><li>
Review code and provide feedback on implementation approaches</li><li>
Identify opportunities to improve reliability, scalability, performance, and developer productivity</li><li>
Support technical decision-making across new products and platform capabilities</li><li>
Work closely with customers and internal stakeholders to understand requirements and translate them into practical solutions</li><li>
Help establish engineering standards as the team continues to grow</li></ul>
Week in the Life<ul><li>
Collaborate with the CTO on technical priorities and architectural decisions</li><li>
Review designs and provide guidance on implementation approaches</li><li>
Build and operate services across infrastructure, ML systems, APIs, and customer-facing applications</li><li>
Participate in code reviews and technical discussions</li><li>
Help unblock engineers working through difficult technical problems</li><li>
Work directly with customers to understand requirements and gather feedback</li><li>
Balance hands-on engineering work with technical leadership responsibilities</li></ul>
Ideal Qualifications<ul><li>
7+ years of software engineering experience</li><li>
Experience serving as a senior technical contributor, staff engineer, principal engineer, or technical lead</li><li>
Strong software architecture and distributed systems experience</li><li>
Experience building and operating production infrastructure and cloud services</li><li>
AWS experience (EC2, S3, DynamoDB, Docker, etc.)</li><li>
Ability to mentor engineers and provide technical guidance across multiple projects</li><li>
Strong communication skills and sound engineering judgment</li><li>
Comfort operating in an early-stage startup environment</li><li>
Willingness to work onsite in San Francisco</li></ul>
Technology
Our technology sits at the intersection of DevOps, MLOps, and Computational Biology. We support workloads ranging from large-scale ML inference and model deployment to workflow orchestration across research, infrastructure, and scientific computing environments.
The role requires someone who enjoys moving between architecture, implementation, operations, and mentorship while helping a growing engineering team tackle increasingly complex technical challenges.
Compensation Range: $150K - $250K</div>

Staff Software Engineer / Technical Lead

Eli Lilly

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.
 
Locations: San Diego, CA; San Francisco, CA; Boston, MA; Louisville, CO; Indianapolis, IN
 
Lilly Small Molecule Discovery is purpose-built to create molecules that make life better for people. Discovery Technology and Platforms (DTP) accelerates molecule discovery by building optimized foundational platforms, streamlining lab operations through advanced technologies and data connectivity, and investing in novel capabilities.
 Data Foundry is a multidisciplinary team within DTP that enables AI-native drug discovery through four integrated pillars: Architecture4Insight (data infrastructure and scientific software), Methods4Insight (analytical and computational methods), Automation & Scale4Insight (lab automation and agentic workflows), and Preparedness4Insight (data governance and readiness). These pillars empower every Lilly scientist to make optimal decisions by providing seamless access to data, insights, and AI-driven capabilities—serving both human scientists and autonomous AI agents.
 
Position Summary
 
We are seeking an Engineer - MLOps & Scientific Platforms - Data Foundry to operationalize Data Foundry’s scientific tools and analytical methods into actionable-prototypes. You will build the ML deployment pipelines, model serving infrastructure, API layers, and observability guardrails that make our scientific discovery methods and tools reliable, scalable, and consumable, both by discovery scientists and by the Frontier AI group’s autonomous agents.
 This role sits at the interface between Methods4Insight (which develops analytical methods) and Architecture4Insight(which provides the agile data infrastructure). Your job is to ensure every scientific tool Data Foundry produces are analytics-ready, well-monitored, and exposed through APIs with the response-time guarantees and error handling that both human users and AI agents require.
 
Responsibilities
 
MLOps & Model Lifecycle Management
 
<ul>
<li>Build and maintain end-to-end ML deployment pipelines: experiment tracking, model versioning (MLflow, Weights & Biases), containerized model serving, and automated retraining triggers.</li>
<li>Develop model registry infrastructure and feature engineering pipelines that enable computational scientists to access models.</li>
<li>Implement monitoring and alerting for data pipelines, APIs, ML models, and agentic systems (LLMOps) to ensure system reliability and performance at scale.</li>
<li>Build dashboards and metrics tracking for pipeline execution, API latency, token usage, model prediction quality, and system health</li>
<li>Establish structured logging and tracing infrastructure for debugging and performance optimization across scientific data systems</li>
</ul>
Scientific Tool Agile Deployment
 
<ul>
<li>Deploy predictive and analytical methods from Methods4Insight (e.g. cheminformatics, structural biology, bioinformatics, reaction informatics) with versioning, structured error handling, and response-time guarantees that enable insight generation in agile manner. Productionize when and where needed in partnerships with Tech@Lilly.</li>
<li>Build serving infrastructure supporting both synchronous (interactive scientist queries) and asynchronous (batch and agent-invoked) workloads in partnership with Tech@Lilly and Frontier AI.</li>
<li>Define and implement API contracts, documentation standards, and testing frameworks that ensure scientific tools are analysis ready, robust and consumable by external teams including Frontier AI.</li>
</ul>
Platform Engineering & Integration
 
<ul>
<li>Build and operate cloud-native model serving infrastructure (AWS, Azure, or GCP) using containers, Kubernetes, and infrastructure-as-code.</li>
<li>Develop CI/CD pipelines for ML models: automated validation, A/B testing, canary deployments, and rollback procedures.</li>
<li>Integrate model serving with Data Foundry’s data pipelines, ensuring models have access to properly formatted, versioned training and inference data.</li>
</ul>
Frontier AI Interface & Collaboration
 
<ul>
<li>Partner with the Frontier AI team and Tech@Lilly to ensure Data Foundry’s scientific tools are exposed via well-defined interfaces (REST APIs, MCP-compatible endpoints) that agents can invoke programmatically.</li>
<li>Collaborate on API performance requirements: latency targets, throughput guarantees, and graceful degradation under load.</li>
<li>Work with Methods4Insight scientists to ensure deployed models include appropriate uncertainty quantification and confidence metrics.</li>
</ul>
Basic Requirements
 
<ul>
<li>B.S. or M.S. in Computer Science, Data Science, Machine Learning, Bioinformatics, Computational Biology, or related field.</li>
<li>3+ years of experience in MLOps, ML engineering, or scientific platform development</li>
<li>Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization or visas for this role, including but not limited to F-1 CPT, F-1 OPT, F-1 STEM OPT, J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1.</li>
</ul>
Preferred Qualifications
 
<ul>
<li>Pharmaceutical or biotech research industry experience.</li>
<li>Strong Python skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and ML lifecycle tools (MLflow, W&B, Kubeflow, or similar).</li>
<li>Proven track record building and deploying production model serving infrastructure — containerized endpoints, RESTful/gRPC APIs, and operational monitoring</li>
<li>Working knowledge of cloud platforms (AWS, Azure, or GCP), Kubernetes, and CI/CD automation.</li>
<li>Strong communication skills with ability to collaborate across computational scientists, software engineers, and partner teams.</li>
<li>Experience operationalizing scientific or computational models (cheminformatics, bioinformatics, structural biology, QSAR, molecular simulations, PK/PD, systems biology, or ODE-based models).</li>
<li>Hands-on experience with model monitoring, drift detection, and automated retraining systems.</li>
<li>Familiarity with API gateway patterns, event-driven architectures, and service mesh technologies.</li>
<li>Experience with feature stores, data versioning (DVC), or experiment tracking at scale.</li>
<li>Exposure to AI agent frameworks (MCP, LangChain) or building APIs that AI systems invoke programmatically.</li>
<li>Experience with C, C++, CUDA, or GPU-accelerated computing for optimizing model training/inference performance; familiarity with containerizing HPC workloads (Singularity/Apptainer).</li>
</ul>
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) 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 Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
 
Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is
 $66,000 - $165,000
 
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

Engineer - MLOps & Scientific Platforms - Data Foundry

OpenAI

<div>
 
 About The Team
 
 
 
 OpenAI&rsquo;s
 
 Financial Engineering (FinEng)
 
 team powers how revenue flows through our products&mdash;pricing &amp; packaging, checkout, payments, subscriptions, and the financial infrastructure behind them. We partner with Product, Engineering, Risk, Finance, and Go-to-Market to make paying for OpenAI products seamless, reliable, and efficient worldwide.
 
 
 
 About The Role
 
 
 
 As a Data Scientist on FinEng, you&rsquo;ll own the analytics and experimentation that improve our
 
 checkout and payments
 
 ,
 
 subscriptions
 
 , and
 
 pricing &amp; monetization
 
 systems. You&rsquo;ll define the metrics that matter, build the source-of-truth data assets, and design experiments that increase conversion, reduce churn and payment failures, and expand global payment method coverage. Your work will directly influence revenue, customer experience, and how we scale internationally.
 
 
 This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
 
 
 
 In this role, you will
 
 
 
 <ul>
 <li>
 Own checkout &amp; payments analytics and experimentation across methods and locales (e.g., bank transfers, emerging rails), improving conversion while monitoring risk and latency.
 </li>
 <li>
 Build and run the experimentation program for in-house checkout&mdash;define success metrics and guardrails, execute staged rollouts, and use offline incrementality when online tests aren&rsquo;t feasible.
 </li>
 <li>
 Create operational visibility and source-of-truth data with FinEng Data Engineering&mdash;land team-level metrics, SLAs, and self-serve dashboards that drive proactive action.
 </li>
 <li>
 Lead subscription, retention, and monetization analytics&mdash;ship launch-readiness for new subscription features, reduce involuntary churn (e.g., targeted retrials/nudges), and develop elasticity/FX frameworks toward pricing optimality.
 
 
 </li>
 </ul>
 
 You might thrive in this role if you have
 
 
 
 <ul>
 <li>
 5+ years in a quantitative role (data science, product analytics, or experimentation) in high-growth or fintech environments
 </li>
 <li>
 Fluency in SQL and Python, with a track record designing and interpreting A/B tests and quasi-experiments
 </li>
 <li>
 Experience building product metrics from scratch and operationalizing them for decision-making
 </li>
 <li>
 Excellent communication skills with PMs, engineers, risk/finance partners, and executives
 </li>
 <li>
 Strategic instincts beyond significance tests&mdash;clear thinking about tradeoffs (conversion vs. risk vs. cost vs. user experience)
 
 
 </li>
 </ul>
 
 You could be an especially great fit if you have
 
 
 
 <ul>
 <li>
 Payments, checkout, or subscription analytics experience (PSPs, bank rails, disputes/refunds, risk, e-commerce)
 </li>
 <li>
 Background in offline incrementality methods, uplift modeling, CUPED/causal inference, or counterfactual evaluation
 </li>
 <li>
 Experience with internationalization/local payments, FX, and pricing &amp; packaging strategy
 </li>
 <li>
 Comfort building operational analytics (alerting, SLIs/SLOs) and partnering closely with data engineering
 
 
 </li>
 </ul>
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
 
 Compensation Range: $230K - $385K
 
 
</div>

Data Scientist, Financial Engineering

Cognition

<div>
 
 We are an applied AI lab building end-to-end software agents.
 
 
 
 We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.
 
 
 Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.
 
 
 Building Devin and Windsurf is just the first step&mdash;our hardest challenges still lie ahead. If you&rsquo;re excited to solve some of the world&rsquo;s biggest problems and build AI that can reason on real-world tasks, apply to join us.
 
 
 
 About The Role
 
 
 
 We're hiring a technical Data Engineer to own our full data stack &ndash; from database architecture and pipelines to instrumenting telemetry and owning integrations and reporting. You'll design and maintain the systems that keep our data reliable, accessible, and actionable across the company.
 
 
 There are multiple openings across various teams: GTM, Core Product, and Finance.
 
 
 
 
 
 In This Role You Will
 
 
 
 <ul>
 <li>
 Design and manage database architecture and data models
 </li>
 <li>
 Build and maintain ETL/ELT pipelines and orchestration workflows
 </li>
 <li>
 Create and manage new data integrations across internal and external systems
 </li>
 <li>
 Own business reporting: datasets, dashboards, metrics, and self-serve analytics
 </li>
 <li>
 Ensure data quality, observability, governance, and documentation
 
 
 </li>
 </ul>
 
 Requirements For The Role
 
 
 
 <ul>
 <li>
 4+ years in a data engineering, data science, or full-stack data role
 </li>
 <li>
 Expert on SQL and Python (required)
 </li>
 <li>
 Experience with data modeling, warehouse architecture, and BI-oriented schema design
 </li>
 <li>
 Hands-on experience with ETL/ELT tools (dbt, Airflow, Dagster, etc.)
 </li>
 <li>
 Experience building or maintaining BI reporting (Metabase a plus)
 </li>
 <li>
 Experience developing scalable backend heavy applications
 </li>
 <li>
 Strong knowledge of statistics and experimentation
 </li>
 <li>
 Based in SF or NYC
 
 
 </li>
 </ul>
 Equal Opportunity
 
 
 Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.
</div>

Data Engineer

Nimble

<div>
 
 About Nimble
 
 
 
 Nimble is an AI robotics company building the autonomous supply chain to power fast, efficient and economical commerce. We&rsquo;re training robot AGI to power a proprietary generalist supply chain superhumanoid, the first robot in the world capable of performing thousands of tasks across the supply chain. We&rsquo;ve raised over $220M at over $1B valuation and formed a strategic alliance with FedEx to build a national network of autonomous warehouses capable of generating many billions in annual revenue. We are a hardcore and obsessed team of the world&rsquo;s best engineers and operators. If you are obsessed with your craft, enjoy a high-intensity and fast moving high impact environment, are super high agency in getting hard things done and want to be part of building the world&rsquo;s most legendary robotics company at the most pivotal moment in history, we want to work with you.
 
 
 We are on a mission to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial. We will accomplish this by training robot AGI to invent and build the Autonomous Supply Chain &ndash; everything from the inside of factories and warehouses to your front door &ndash; powered by generalist superhumanoids.
 
 
 Our founding team comes from the AI labs at Stanford and Carnegie Mellon and our board of directors include famed robotics and AI legends including Fei-Fei Li (Chief Scientist of AI at Google and Director of Stanford&rsquo;s AI Lab), Marc Raibert (founder of Boston Dynamics), and Sebastian Thrun (founder of GoogleX, Waymo; Stanford Professor and considered the father of autonomous vehicles).
 
 
 Let&rsquo;s be legendary.
 
 
 Link: Nimble Closes $106 Million Series C Funding Round, Scales Fully Autonomous Fulfillment with FedEx
 
 
 Link: FedEx Announces Expansion of FedEx Fulfillment With Nimble Alliance
 
 
 
 Why Join Nimble?
 
 
 
 At Nimble, we are committed to building legendary products, a legendary team, and a legendary legacy. Join us and become part of an ambitious, humble, and resourceful culture where your work will leave a lasting impact on the future of robotics and commerce.
 
 
 
 Nimble's Core Values
 
 
 
 
 Be relentlessly resourceful
 
 -
 
 Challenge conventions and overcome obstacles.
 
 
 
 
 Be legendary
 
 -
 
 Be the very best and do work that inspires.
 
 
 
 
 Be humble
 
 -
 
 Prioritize growth, learning, and doing whatever is needed to further the mission.
 
 
 
 
 Be dependable
 
 -
 
 Take ownership and deliver with high agency.
 
 
 
 
 About The Role
 
 
 
 We are looking for a Software Engineer III to build the core software powering our next-generation autonomous robots. In this role, you will develop the systems that allow our robots to automate key warehouse functions with high performance and reliability. You will work across robotics and autonomy&mdash;building robust, production-grade software that scales as we deploy more robots into high-throughput warehouse operations. You&rsquo;ll collaborate closely with our AI, hardware, and infrastructure teams to integrate frontier AI capabilities into practical, real-world robotics systems and to continually improve system uptime, performance, and overall intelligence.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement services that integrate external partner software into the Nimble stack, defining clear APIs and contracts.
 </li>
 <li>
 Optimize end-to-end warehouse throughput across Nimble software and partner automation systems.
 </li>
 <li>
 Build fault-tolerant software with well-defined error handling and recovery behavior.
 </li>
 <li>
 Drive measurable improvements in autonomy quality, using data and operational metrics to iterate on task success rate, recovery behavior, and system reliability.
 </li>
 <li>
 Collaborate with hardware engineering to deliver seamless software&ndash;hardware integration for new robot platforms and upgrades.
 </li>
 <li>
 Lead technical design reviews and drive architecture decisions for core subsystems and features.
 </li>
 <li>
 Triage, diagnose, and resolve issues in production robotics systems.
 </li>
 <li>
 Mentor cross-functional engineers and technicians, raising the bar on reliability, testing, and operational excellence.
 </li>
 <li>
 Build and maintain integrations with robot platforms, APIs, services, and data systems
 </li>
 <li>
 Develop fault‑tolerant, fail‑safe robotic software and scalable systems
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelors or Masters in Computer Science, or related field, or equivalent experience
 </li>
 <li>
 2-4 years of experience in production‑level coding in C++, Python, or Rust
 </li>
 <li>
 Demonstrated experience or knowledge of distributed systems, backend services, API design, CI/CD, AWS, Kubernetes
 </li>
 <li>
 Demonstrated experience designing scalable systems and leading complex technical projects.
 </li>
 <li>
 Excellent communication skills and ability to collaborate across teams.
 </li>
 <li>
 A proven track record of using analysis to influence high-stakes operational and engineering changes.
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 The pay range for this position at the start of employment is expected to be between $160,000 - $210,000/year. Your exact offer may vary depending on multiple individualized factors, including job-related knowledge, skills, and experience. In addition to cash compensation, this position will also receive generous equity for this position.
 
 
 
 Culture
 
 
 
 We embrace challenges and strive to make the impossible possible each day. We&rsquo;re not in this to do what&rsquo;s easy or to be mediocre. We want to create something legendary and leave our mark on the world. We&rsquo;re ambitious, we&rsquo;re gritty, we&rsquo;re humble and we&rsquo;re relentlessly resourceful in pursuit of our goals. If this sounds like you then you might be a great fit!
 
 
 Nimble Robotics, Inc. is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the basis of race, color, religion, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, age, military or veteran status, or any other characteristic protected by applicable state, federal or local laws.
 
 
 
 Nimble's Benefits
 
 
 
 
 Unlimited Flexible Time Off
 
 
 
 Enjoy the time you need to travel, rejuvenate, and connect with friends and family.
 
 
 
 Health Insurance
 
 
 
 Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family.
 
 
 
 Paid Parental Leave
 
 
 
 Enjoy paid bonding time following a birth.
 
 
 
 Commuter Benefits
 
 
 
 Take the stress out of commuting with access to fully paid parking spots.
 
 
 
 Referral Bonus
 
 
 
 Get a cash bonus for any friend or colleagues that you refer to us that we end up hiring.
 
 
 
 401k
 
 
 
 Contribute towards a 401k for retirement planning.
 
 
 
 Equity
 
 
 
 Be an owner in Nimble through our equity program
</div>

Software Engineer III, Robot Throughput

City and County of San Francisco

<div>Company Description 
Company Description 
San Francisco is a vibrant and dynamic city, on the forefront of economic growth &amp; innovation, urban development, arts &amp; entertainment, as well as social issues &amp; change. This rich tapestry of culture and ideas is sustained by our City's commitment to heighten the quality of life for the diverse population of San Franciscans and residents of the greater Bay Area. Our employees play an important role not only in making our City what it is today, but also in shaping the future of San Francisco.
THIS IS A CITYWIDE EXAM
Application Deadline: Apply Immediately. Application filing will be open at least through July 13, 2026 and will close any time thereafter. 
Job Description 
Under direction, the 3634 Librarian III performs difficult and responsible librarian work; supervises the operation of a large branch library or department of the main library; supervises the activities of subordinate personnel; and performs related duties as required.
Requires responsibility for interpreting, enforcing and carrying out assigned duties within the framework of established library policy; making regular contact with the general public, outside organizations, and library personnel in connection with library activities and operations; and maintaining a continued awareness of current reading trends and literature.
Supervision Exercised: 
Supervises the operation of a large branch library or department of the main library; supervises the activities of subordinate personnel.
The essential functions of this class include but are not limited to:<ul><li>
Supervises the operation of a large branch library or a department of the main library; may be responsible for the supervision of a cluster of branch libraries.</li><li>
Supervises and reviews the activities of subordinate personnel; assists subordinate personnel in resolving questions and problems related to library activities; interviews applicants for supportive positions.</li><li>
Assists patrons in locating and using library facilities and materials; in selecting materials; and in answering a wide variety of questions.</li><li>
Keeps branch or department collection current and useful by recommending or coordinating staff recommendations of library materials to be purchased, repaired or discarded; develops collection through personal knowledge of materials available; may act as a consultant in a special field.</li><li>
Performs reference work, including that of a difficult and technical nature and requiring extensive searching and analyzing; performs research; prepares detailed bibliographies, book lists and other information.</li><li>
Plans and carries out adult and community programs to meet community needs; visits and works with various adult and community groups to promote use of and interest in the library.</li><li>
Supervises the processing and cataloging or ordering of library material and the activities of the personnel in these departments; determines best sources of supply for library material.</li><li>
Plans and sets up displays and exhibits; maintains a pleasant and orderly atmosphere in the branch or department.</li><li>
Writes reports; supervises the maintenance and/or preparation of various files and records; submits budget requests; may work on special projects.</li></ul> 

Qualifications 
Qualifications: 
Every application is reviewed to ensure that you meet the minimum qualifications as listed in the job ad. Please review our articles on Employment Application and Minimum Qualifications and Verification of Experience and/or Education for considerations taken when reviewing applications.
Education: Possession of a Master's Degree in Library and Information Sciences (e.g. MLS/MLIS) from a college, university, or program accredited by the American Library Association.
Experience: Four (4) years of experience as a professional librarian, including at least two (2) years supervising other professional librarians.
Applicants must meet the minimum qualification by the final filing date unless otherwise noted.
You must have already attained your degree and completed your master's degree in Library and Information Sciences to be eligible for this recruitment.
Qualifying education must be verified by a legible copy of your diploma showing major OR transcripts showing coursework completed. The diploma and/or transcripts must show your name, the name of the institution, and the conferral date of your master&rsquo;s degree. Please attach your diploma and/or transcripts showing coursework completed to your application.
Special Conditions
1. Some positions require fluency in a variety of languages depending upon the department's bilingual needs. Eligibles who pass the bilingual proficiency test will be considered for bilingual positions. Applicants must indicate on the application form the language(s) in which they claim proficiency.
2. Some positions require twelve (12) months (2,000 hours) of verifiable experience performing the duties of a Children&rsquo;s or Youth Services Librarian.
Note: Some positions in this class are subject to irregular work schedules and may require evening and/or weekend work; and require constant public contact. Positions in this classification may be required to work at various locations within the Library system.
The above minimum qualifications reflect special conditions associated with the position(s) to be filled. They may differ from the standard minimum qualifications associated with this class code.
Note: Falsifying one&rsquo;s education, training, or work experience or attempted deception on the application may result in disqualification for this and future job opportunities with the City and County of San Francisco.
Selection Procedures
Job Application - Applicants must fully complete the job application. Information from resumes does not substitute for the information on the job application or preliminary questionnaire.
Management Test Battery (MTB) - Weight: 40% &ndash; Qualifying candidates will be invited to participate in an in-person computer-based examination designed to measure competencies in job-related areas which may include but not be limited to: Problem Solving; Leadership; Decision Making; Interpersonal skill; Human Resources Management; Team Building; Communication; Conflict Management and Process Improvement. A passing score must be achieved on the MTB to continue to the next step in the selection process.
This is a standardized examination and, therefore, test questions and test answers are not available for public inspection or review.
Behavioral Consistency Questionnaire (BCQ) &ndash; Weight: 60% Candidates that pass the MTB exam will be required to complete a BCQ which will be sent by email. The BCQ is designed to measure the knowledge, skills, and/or abilities in job-related areas. Knowledge of: Modern library methods, procedures and techniques; library materials; knowledge of the role of the public library in the community.
Ability and Skill to: Work courteously and effectively with library patrons and outside organizations; evaluate a wide variety of library materials; educate, advise, and instruct others in the use of library materials and facilities; plan library programs and book selection to meet the needs of the community; speak and write effectively; prepare reports; and the ability to organize, supervise, coordinate and delegate.
BANKED SCORES: Scores attained on the MTB exam will be valid and 'banked' for three years, starting from the date of the examination. This means that, during this three-year time period, you will not be required to take the MTB. The MTB may be used for many other classes; therefore, your test score may be applied to one or more of these classes if you choose to apply to future recruitments. If the selection process for the future announcement is held within one year of the date of this examination and it includes the MTB, your score will be automatically applied to that announcement. However, after one year, you have the option to either (a) apply your test score to the other announcement or (b) re-take the MTB. Re-testing is permitted no sooner than one year from the date of the examination and only in association with your eligibility for another announcement for which the MTB is used. Please note that, should you re-test, your re-test score would become your official score since it is the most recent.
Passing scores must be achieved to be placed on the eligible list/score report. The hiring department may administer additional position-specific selection procedures to make final hiring decisions.
Candidate scores on this examination may also be applied to other announcements involving other job titles, when directed by the Human Resources Director.
Eligible List/Score Report 
A confidential eligible list of applicant names that have passed the civil service examination process will be created and used for certification purposes only. An examination score report will be established, so applicants can view the ranks, final scores and number of eligible candidates. Applicant information, including names of applicants on the eligible list, shall not be made public unless required by law. However, an eligible list shall be made available for public inspection, upon request, once the eligible list is exhausted or expired and referrals resolved. The eligible list/score report resulting from this civil service examination process is subject to change after adoption (e.g., as a result of appeals), as directed by the Human Resources Director or the Civil Service Commission.
The duration of the eligible list resulting from this examination process will be of twelve (12) months and may be extended with the approval of the Human Resources Director.
Certification Rule
The certification rule for this selection process will be Rule of 10.
To find Departments which use this classification, please see the city&rsquo;s Position Counts by Job Codes and Departments.
Terms of Announcement and Appeal Rights 
Applicants must be guided solely by the provisions of this announcement, including requirements, time periods and other particulars, except when superseded by federal, state or local laws, rules or regulations. [Note: The correction of clerical errors in an announcement may be posted on the Department of Human Resources website at https://careers.sf.gov/.]
The terms of this announcement may be appealed under Civil Service Rule 110.4. Such appeals must be submitted in writing to the Department of Human Resources, 1 S Van Ness Avenue, 4th Floor, San Francisco, CA 94103-5413 by close of business on the 5th business day following the issuance date of this examination announcement. Information concerning other Civil Service Commission Rules involving announcements, applications and examination policies, including applicant appeal rights, can be found on the Civil Service Commission website at https://sf.gov/departments/civil-service-commission. 
 
 
Additional Information 
Additional Information Regarding Employment with the City and County of San Francisco<ul><li>
Information About the Hiring Process</li><li>
Conviction History</li><li>
Employee Benefits Overview</li><li>
Equal Employment Opportunity</li><li>
Disaster Service Worker</li><li>
ADA Accommodation</li><li>
Veterans Preference</li><li>
Seniority Credit in Promotional Exams</li><li>
Right to Work</li><li>
Copies of Application Documents</li><li>
Diversity Statement</li></ul>
Where to Apply
All job applications for the City and County of San Francisco must be submitted through our online portal. Please visit https://careers.sf.gov/ to begin your application process. No other methods of application will be accepted.
Computers are available for the public (9:00 a.m. to 4:00 p.m. Monday through Friday) to file online applications in the lobby of the Dept. of Human Resources at 1 South Van Ness Avenue, 4th Floor and at the City Career Center at City Hall, 1 Dr. Carlton B. Goodlett Place, Room 110, San Francisco, CA.
Ensure your application information is accurate, as changes may not be possible after submission. Your first and last name must match your legal ID for verification, and preferred names can be included in parentheses. Use your personal email address, not a shared or work email, to avoid unfixable issues.
Upon successful submission, applicants will receive a confirmation email from notification@smartrecruiters.com. Keep this email for your records. If you do not receive it, your application was not submitted successfully.
Recruitment Analyst Information: If you have any questions regarding this recruitment or application process, please contact the analyst Melinda Miyagishima via email at melinda.miyagishima@sfgov.org
All your information will be kept confidential according to EEO guidelines.<div></div>
The City and County of San Francisco encourages women, minorities and persons with disabilities to apply. Applicants will be considered regardless of their sex, race, age, religion, color, national origin, ancestry, physical disability, mental disability, medical condition (associated with cancer, a history of cancer, or genetic characteristics), HIV/AIDS status, genetic information, marital status, sexual orientation, gender, gender identity, gender expression, military and veteran status, or other protected category under the law.</div>

Librarian III (3634) - Citywide - (C00413)

CircleCI

<div><h3 class="jobSectionHeader">About the Role:</h3>

The Manager of Data Science for GTM is a hands-on player coach who leads from the front across Sales, Customer Success, and Marketing analytics. They are deeply technical, opinionated about the GTM analytical agenda, and accountable for both the output of the team and the development of each person on it. They are not a pure people manager &mdash; they roll up their sleeves on the hardest problems, set the standard for what good looks like, and pull the team up through hands-on coaching, technical mentorship, and direct involvement in the work. They own the analytical strategy for the GTM function and are a credible, trusted partner to Sales, CS, and Marketing leadership.
<h3 class="jobSectionHeader">
What You'll Do:</h3>
<ul><li>Set the analytical strategy and roadmap for GTM, proactively identifying the highest-leverage opportunities before they are asked, across the full customer lifecycle from acquisition through expansion and retention.</li>
<li>Operate as a player coach, stay technical, get into the weeds on the hardest GTM problems, and model the analytical rigor and DS thinking you expect from the team.</li>
<li>Coach the team directly on the work itself: review analyses, push on methodology, challenge correlation versus causation, and raise the bar for statistical depth, EDA, and storytelling.</li>
<li>Own the measurement strategy for GTM, defining how we evaluate the true impact of marketing campaigns, sales motions, and CS interventions through rigorous causal methods, not just attribution heuristics.</li>
<li>Drive development and iteration of churn risk, health scoring, and expansion propensity models, ensuring they are statistically sound and actively used by CS and Sales to prioritize accounts.</li>
<li>Lead marketing attribution methodology, moving the team beyond last-touch toward multi-touch and incrementality-based approaches that give leadership an accurate picture of what is actually driving pipeline.</li>
<li>Partner with Revenue Operations and Finance on pipeline and revenue forecasting models that inform quota setting, capacity planning, and board-level reporting.</li>
<li>Partner with Sales, CS, and Marketing leadership as a strategic thought partner. Influence decisions on territory design, segmentation, campaign investment, and retention strategy before they are made.</li>
<li>Grow each person on the team intentionally, set clear development goals, give direct feedback often, and hold the bar high on both performance and growth.</li>
<li>Champion AI as a force multiplier. Build agents and skills that transition repetitive GTM data work into automated capabilities and free the team to focus on higher-leverage problems.</li>
</ul><h3 class="jobSectionHeader">What You'll Bring:</h3>
<ul><li>7+ years of experience in data science or quantitative research, with at least 2 years managing a team of data scientists.</li>
<li>Strong hands-on technical skills: SQL, Python, and modern data warehouse environments. You can still write the code and review the work.</li>
<li>Demonstrated experience applying analytical methods to GTM problems: churn modeling, propensity scoring, attribution, forecasting, or similar.</li>
<li>Experience with causal inference methods (DiD, synthetic control, regression discontinuity, or similar) applied to real GTM or business problems.</li>
<li>Deep experience with experimental design, A/B testing, and rigorous measurement frameworks in a marketing or sales context.</li>
<li>Strong track record of influencing GTM strategy through data-driven recommendations at the leadership level.</li>
<li>Exceptional storytelling skills, able to translate complex methodology and findings into clear, compelling narratives for Sales, CS, and Marketing leaders.</li>
<li>Track record of developing data scientists and helping them grow from reactive analytics to proactive, strategic insight generation.</li>
</ul><h3 class="jobSectionHeader">Bonus/Nice To Have:</h3>
<ul><li>Hands-on experience with churn risk modeling, health scoring, or customer lifetime value models in a B2B SaaS context.</li>
<li>Experience with marketing attribution beyond last-touch, media mix modeling, incrementality testing, or multi-touch attribution.</li>
<li>Familiarity with revenue forecasting and pipeline modeling in partnership with RevOps or Finance.</li>
<li>Background in SaaS, developer tools, or B2B product-led growth metrics.</li>
<li>Experience with CRM data (Salesforce or HubSpot) and marketing automation platforms as analytical data sources.</li>
<li>Hands-on experience with AI tools like Claude, Cursor, or similar LLM-powered assistants and a track record of helping a team adopt them.</li>
<li>Experience with probabilistic modeling or Bayesian approaches to forecasting and scoring.</li>
</ul><div>
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

About CircleCI

CircleCI is the world's largest continuous integration/continuous delivery (CI/CD) platform, and the hub where code moves from idea to delivery. As one of the most-used DevOps tools - processing more than 3 million jobs a day - CircleCI has unique access to data on how the most effective engineering teams work, and the tools to help software companies successfully leverage the power of AI into their commercial applications. Companies like Hinge, HuggingFace, and Samsung use us to improve engineering team productivity, release better products, and get to market faster. 
Founded in 2011 and headquartered in downtown San Francisco with a global, remote workforce, CircleCI is venture-backed by Base10, Greenspring Associates, Eleven Prime, IVP, Sapphire Ventures, Top Tier Capital Partners, Baseline Ventures, Threshold 
Ventures, Scale Venture Partners, Owl Rock Capital, Next Equity Partners, Heavybit, and Harrison Metal Capital.

CircleCI is an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.</div></div>

Data Science Manager, GTM

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