Staff Software Engineer, Full-Stack - Enterprise Gen AI

Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a frontend-focused full-stack engineer to help build AI-powered applications that redefine enterprise workflows and push the boundaries of interactive AI. This role is ideal for someone who thrives in a fast-paced environment, enjoys working on a diverse set of projects, and has a passion for crafting high-quality, intuitive user experiences.

At Scale, you'll work on a mix of cutting-edge customer-facing AI applications and internal SaaS products. Our engineering team powers projects like TIME’s Person of the Year AI experience (see it in action), where our AI technology helped shape one of the most iconic features in media. You'll also contribute to Scale’s GenAI Platform (SGP), a powerful system that enables businesses to build and deploy AI agents at scale. Whether it’s developing interactive AI assistants, enterprise-grade web applications, or refining our core SaaS platform, you’ll play a crucial role in shaping how AI integrates into real-world applications.

You Will:

• Build and enhance user-facing AI applications for major enterprise customers, including high-profile media and Fortune 500 companies
• Develop and refine features for Scale’s GenAI Platform, empowering businesses to build, deploy, and manage AI-driven agents
• Design, build, and optimize polished, high-performance UIs using Next.js, React, TypeScript, and Tailwind
• Work closely with product managers, designers, and AI/ML teams to create seamless, intuitive, and impactful user experiences
• Integrate frontend applications with backend services, working with APIs, authentication systems, and cloud-based infrastructure
• Ship features at a rapid pace while maintaining a high level of code quality, performance, and accessibility

Ideally, You Have:

• 5+ years of experience developing frontend or fullstack applications in a modern tech stack
• Strong proficiency in Next.js, React, TypeScript, and Tailwind, with an eye for building polished, user-friendly interfaces
• Experience working on high-visibility, customer-facing applications and making trade-offs between speed and quality in fast-paced environments
• A passion for AI and experience working on interactive AI applications, agent-based systems, or data-rich web platforms
• Familiarity with backend technologies such as FastAPI, PostgreSQL, GraphQL, and cloud infrastructure like AWS, Azure, or GCP
• A track record of collaborating cross-functionally with design, product, and ML teams to bring AI-powered applications to life

This role is a unique opportunity to shape the future of AI-powered user experiences, working on projects that impact millions of users while developing tools that empower businesses to deploy AI at scale. If you’re excited by the intersection of AI, frontend engineering, and product design, we’d love to hear from you.

The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle is $248,400—$310,500 USD

. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

We are looking for a Staff Software Engineer to join our Engineering team.

What you’ll do:

• Architect resilient software components within a distributed Python and C environment (K8s, EKS, EC2, Lambda, RDS, etc). 
• Take full ownership for solving complex problems from inception to execution. 
• Drive team and organization strategy with minimal guidance, ensuring technical decisions directly support company goals.
• Proactively identify and resolve technical debt or process friction, simplifying the codebase and developer experience to improve team velocity.
• Coach and mentor engineers, to build a high-performance culture. Serve as a subject matter expert who remains approachable.
• Proactively communicate, identify and mitigate technical risks, navigating trade-offs between system constraints and business impact. 
• Build trust with functional leaders and stakeholders, communicating highly technical concepts into clear dialogue to gain alignment on priorities.
• Work with Python and C applications  to resolve wide-ranging issues, and drive feature implementation. 

What you’ll need:

• Bachelor's Degree in Computer Science or related field.
• 6+ years programming experience, ideally on a modern stack.
• Experience: 4+ years of experience writing high-quality, production-grade Python.
• Hands-on experience with Continuous Delivery principles and techniques, including unit testing and build & deploy pipelines.
• Ability to lead and influence a team's technical direction.
• Hands-on experience with AWS or similar cloud technologies (RDS, Aurora, Dynamo, EKS, or Lambda) and Kubernetes.
• Demonstrated ability to design resilient software components within a distributed system.
  
  

Nice to have:

• Familiarity with Python Flask and/or FastAPI frameworks.
• Experience developing in C.
• Domain knowledge in Payment Systems or financial tech.
  
  

The Auth0 Team

Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers.  We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier-Ø global service to deliver convenience, privacy, and security so customers can focus on innovation.

This team focuses on providing tenant-level protections to our customers, at scale. From bot detection to brute-force to suspicious IP throttling and beyond, this team often provides the first line of defense for Auth0 customers.

The Staff Software Engineer 

At Okta, we’re building the next generation of authentication for the GenAI era. 

We’re looking for a Staff Software Engineer to join the AI DevEx team at Auth0. This role is pivotal in extending and complementing our Auth for GenAI offering by building the infrastructure, tooling, and developer experiences that empower both human developers and AI agents to build secure, intelligent applications.

Auth0 Emerging Tech is the Engineering organization where we take care of the hottest technology out there: we ship fast, we don't break things. We are a dynamic and collaborative distributed and diverse team. We value ownership, learning and innovation.  

This is an ideal role for an engineer who enjoys building for other engineers, working across stacks, and shaping the future of AI enablement in production systems. You'll collaborate across engineering, product, and security teams to drive meaningful improvements in developer tooling, agent authentication, orchestration frameworks, and real-world demos.

What you will be doing:

• Design and Build Developer Tooling that helps developers secure and manage infrastructure like MCP servers
• Build Demo Applications that showcase secure, identity-powered AI use cases in real-world environments
• Contribute to Open Source Projects, both within Auth0 and across the broader AI + identity ecosystem
• Write and Maintain High-Quality Documentation including API references, quickstarts, and best practices for both developers and AI-native tooling (e.g., llm.txt)
• Drive Integration with Emerging AI Frameworks by creating adapters, utilities, and interfaces for agent runtimes and orchestration layers
• Collaborate with Design, Product, and Security teams to align on developer needs, roadmap direction, and compliance requirements
• Mentor and Support Other Engineers, setting strong examples in code quality, testing practices, and architectural thinking
• Influence Engineering Standards by leading design discussions and contributing to team-wide architectural decisions
• Ensure Resilience and Security of systems involved in agent-to-agent or model-to-service communication

You Might Be a Good Fit If You

• Experience in software engineering with a proven track record in building tools, frameworks, or platforms for other developers
• Proficiency in JavaScript/TypeScript, Golang and/or Python, and the ability to move fluidly between front-end and back-end contexts
• Experience working with LLM APIs, agent runtimes, orchestration layers, or prompt pipelines
• Familiarity with authentication and authorization systems, especially standards like OAuth2, OIDC, and JWT
• Demonstrated experience leading architecture and design efforts for scalable, production-grade systems
• Comfort contributing to and maintaining open source projects and engaging with developer communities
• A passion for documentation as part of the developer experience—not just writing code, but making it understandable and usable
• Ability to thrive in highly collaborative environments with cross-functional stakeholders

Technologies You May Work With

• Languages: JavaScript, TypeScript, Python
• Frameworks: React, Next.js, FastAPI
• AI Ecosystem: Model APIs, orchestration runtimes, prompt management systems, agent toolkits
• Auth0 Stack: Token Vault, Async Authorization, Fine-Grained Authorization (FGA)

#LI-Hybrid

P23578_3268067

Senior Full-stack Engineer

Location: Hybrid - San Francisco OR Palo Alto Office Tuesday/Thursday. 

The difference you will make

We're looking for a senior fullstack engineer to join our growing team as we rapidly scale towards our mission of revolutionizing healthcare. You will focus on our Care Delivery product vertical, building and integrating products that extend across the entire clinician and operational lifecycle at Midi. You will also drive large projects through all developmental stages - early brainstorming and requirements refining, architectural design, execution, testing, rollout and iteration.

If you are a highly motivated, pragmatic engineer looking for a dynamic role in a mission driven company, this role is for you! 

What you will do

• Work collaboratively with other engineers, PM’s and clinical stakeholders to enhance existing products and bring new products to life
• Build and own clinician and operations facing products end-to-end
• Craft exceptional, thoughtful, scalable and flexible products and code, balancing for speed of execution and scalability
• Actively contribute to and influence engineering processes, culture, practices, and systems
• Analyze complex technical problems and architect elegant and effective solutions
• Review code and collaborate with teammates on technical decisions

About You

• You have 6+ years of experience building scalable engineering solutions across the stack.
• You have experience with Python-based web frameworks (e.g., Django, FastAPI) or comparable technologies.
• You have experience building operational and workflow management systems. 
• You possess a proactive ownership mindset.
• You are a believer in automated testing, continuous integration, and high code quality.
• You have interest and experience in coaching/mentoring junior engineers.
• You take a collaborative approach to building software with both engineering and non-engineering team members.
• You help create a respectful, low-ego team environment, approaching discussions with curiosity and humility.

Nice to Have

• EHR integration experience

Interview Process:

• Recruiter Screen (30 min)
• Hiring Manager Screen (45 min) 
• Live Technical Assessment (60 minute coding + 60 minute system design)
• On-Site Interview and lunch (two 45 minute behavioral interviews + informal team lunch)

At this time, Midi Health is not able to sponsor or take over sponsorship of any employment visa (including H-1B, TN, or other work authorization). Applicants must be authorized to work in the U.S. without current or future visa sponsorship.

While you are waiting for us to review your resume, here is some fun content to check out. 

Midi 2024 in Review

Women Leaders Invest in Midi

Patient Testimonials

At Midi Health, we are committed to pay transparency and equity. The estimated salary range for this role is $170,000-$210,000 per year, based on factors such as experience and skills. In addition to base salary, employees are eligible for a wide range of benefits and equity in the company,

We believe in fair and competitive compensation practices that align with our values of equity and inclusion. If you have any questions about how we determine pay, we’re happy to discuss further in the hiring process.

#li-ps1

Who We Are:

Calico (Calico Life Sciences LLC) is an Alphabet-founded research and development company whose mission is to harness advanced technologies and model systems to increase our understanding of the biology that controls human aging. Calico will use that knowledge to devise interventions that enable people to lead longer and healthier lives. Calico’s highly innovative technology labs, its commitment to curiosity-driven discovery science, and, with academic and industry partners, its vibrant drug-development pipeline, together create an inspiring and exciting place to catalyze and enable medical breakthroughs.

Position Description:

Calico is seeking a Senior Data Engineer to join our highly collaborative Engineering team as the founding member of the Drug Discovery Data Engineering group. To succeed, you will need to be an enthusiastic team player, detail-oriented, extremely organized, and comfortable working on complex data, software, and scientific problems.

In this position, you will act as a technical bridge between our Medicinal Chemistry, Automation, Machine Learning, Assay Technology, and Protein Sciences groups. You will drive projects from requirements-gathering to production deployment, engineering high-performance data systems that integrate with our molecular databases (CDD Vault), inventory systems (Mosaic), electronic lab notebooks (Benchling), our internal data warehouse (BigQuery), and our internally developed AI platform. As the first hire on this team, you will play a pivotal role in defining data flows, building web applications for stakeholder review, and establishing the engineering culture for this important growth area.

Position Responsibilities:

• End-to-End Project Ownership: Collaborating with scientists in Assay Technology, Medicinal Chemistry, and Protein Sciences to gather requirements, architect solutions, and deploy production-grade software that facilitates data movement and analysis
• System Integration: Designing and implementing robust integrations between internal pipelines and third-party platforms, specifically the CDD molecular database, Mosaic inventory systems, and Benchling ELN
• Data Flow Architecture: Defining and optimizing data flows across the organization (e.g., ensuring seamless data handover from Machine Learning -> Protein Sciences -> Assay Technologies) to accelerate the drug discovery feedback loop
• Full-Stack Tool Development: Developing data systems and internal web applications (using React and Python) that allow stakeholders to review, visualize, and communicate complex scientific data
• Mentorship & Leadership: Serving as a senior technical voice within a larger Engineering team; providing mentorship to junior engineers across Calico and helping onboard future hires into the Drug Discovery Data Engineering team
• Engineering Excellence: Championing best practices for infrastructure-as-code, CI/CD, and containerization while helping to set standards for data engineering at Calico

Position Requirements:

• BS/MS/PhD in Computer Science, Data Science, or a related technical field, or equivalent practical experience
• 5+ years of professional software or data engineering experience on the small molecule and antibody informatics side of pharmaceutical R&D
• Proficiency in applying laboratory informatics systems such as CDD Vault, Titian Mosaic, and Benchling to the drug discovery process
• Fluency in Python with a strong grasp of software and data engineering principles (testing, modularity, design patterns, data modeling)
• Demonstrated experience developing and deploying cloud-based applications on Google Cloud Platform (GCP) (preferred), AWS, or Azure
• Strong experience with modern web frameworks and infrastructure, specifically FastAPI, React, Kubernetes, and Terraform
• Proven ability to lead complex projects involving diverse stakeholders (e.g. both bench scientists and Machine Learning engineers) from concept to production
• Experience enforcing robust data governance policies and compliance with internal information security standards and best practices
• Must be willing to work onsite at least four days per week

Nice to Have:

• Experience working with large-scale biological or chemical datasets, including chemical and biological ontologies
• Prior experience managing external partnerships and vendors in the informatics space
• Experience with system administration of informatics platforms, including setting information security standards and negotiation of software contracts

The estimated base salary range for this role is $217,000 - $229,000. Actual pay will be based on a number of factors including experience and qualifications. This position is also eligible for two annual cash bonuses.

Who we are

“Welcoming”, “Collaborative” and “Having the opportunity to make an impact” - is how our employees describe working here.  Galileo is a financial-technology company that provides innovative and revolutionary software products and services that power some of the world's largest Fintechs. We are the only payments innovator that applies tech and engineering capabilities to empower Fintechs and financial institutions to unleash their full creativity to achieve their most inspired goals. Galileo leads its industry with superior fraud detection, security, decision-making analytics and regulatory compliance functionality combined with customized, responsive and flexible programs to accelerate the success of all payments companies and solve tomorrow's payments challenges today. We hire energetic and creative employees while providing them the opportunity to excel in their careers and make a difference for our clients. Learn more about us and why we work here at www.galileo-ft.com. 

The role:

You will steward the 'building blocks' of modern fintech. Our APIs empower clients to build unique financial experiences, meaning your team's work directly powers the innovation of some of the world's largest fintechs.

What you’ll do:

• Build the Golden Path: Design and deliver reusable frameworks and shared infrastructure that help product squads ship secure, observable, and compliant services by default.
• Create Platform Abstractions: Identify repeated implementation patterns and turn them into modular platform components that reduce duplication and simplify service development.
• Improve Traceability and Observability: Drive adoption of common telemetry and request-correlation patterns so teams can troubleshoot and operate services more effectively.
• Advance Contract-First Development: Help make technical contracts the source of truth for service development, with tooling that keeps implementation, documentation, and schemas aligned.
• Raise the DX (Developer Experience) Bar: Build platform tools that teams adopt because they are faster, clearer, and easier to use than bespoke alternatives.
• Navigate Trade-offs Well: Make sound technical decisions that balance standardization, delivery speed, and the practical needs of individual teams.
• Partner Across Teams: Work closely with engineers, managers, and adjacent platform teams to align on patterns, priorities, and rollout plans.
• Mentor Through Practice: Coach engineers through design reviews, code review, docs, and shared implementation work; help maintain core platform libraries and support an innersource contribution model.

What you’ll need:

• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
• Distributed Systems Experience: 8+ years of experience designing and scaling resilient software systems, ideally with strong Python experience.
• Platform Mindset: Experience building shared libraries, services, proxies, or frameworks used by internal engineering teams.
• Modern SDLC Depth: Hands-on experience with CI/CD, automated testing, schema validation, and production delivery pipelines.
• Cross-Team Influence: A track record of driving technical direction and gaining buy-in from peer teams and stakeholders without direct authority.
• Cloud & Kubernetes Experience: Strong experience with AWS and Kubernetes-based environments.
• Pragmatic Engineering Judgment: Ability to identify when a problem should be standardized, abstracted, or left local.

Nice to have:

• Framework Expertise: Familiarity with Python Flask and/or FastAPI frameworks.
• Infrastructure as Code: Experience with Terraform for delivering standardized infrastructure templates.
• API Governance: Familiarity with OpenAPI/Swagger standards and the governance of large-scale API catalogs.
• Observability & Identity Experience: Experience with distributed tracing, metric taxonomies, and service-to-service authentication (S2SA) patterns.
• FinTech Experience: Domain knowledge in payment systems or highly regulated financial technology environments.

Your Impact at LILA

Join us in shaping the future of science! We are seeking Sr Principal, and Principal Software Engineers with full stack experience to join our software org, where you’ll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. Our teams span across App, Data, SSR, and LaS with a strong emphasis on Python development for scientific applications. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want to hear from you!

Our Software Teams

The Application Team (App)- They build the operating system for AI-driven science. Their platform unifies Machine Learning, Life Sciences, Physical Sciences, and Software into one AI-native experience — where a scientist can go from hypothesis to experiment to result in a single conversation. They ship the agents, the integrations, and the interfaces that make that possible.

The Scientific System of Record Team (SSR) - They build the memory layer for Lila's operations. It answers two questions:what did we plan to build? and what actually happened? These systems connect scientific intent to physical reality. Together with the data and automation teams, their systems ensure reproducibility and close the Design-Build-Test-Learn (DBTL) loop.

The Lab as Software Team (LaS)- They act as the physical and virtual execution layer for Lila's AI-driven science. This connects the Lila App to AI Science Factories (AISFs), the mechanism through which experiments are dispatched to real instruments. This team owns the full stack of lab integration: orchestration of labflows, instrument integrations, bi-directional data transfer, and the UI/UX that AI scientists and operators use to interact with the lab.

The Data Platform Team (Data)- They build and support the data systems that underpins Lila's AI Science Factory™. Every experiment run in our labs, every measurement from an instrument, and every signal from our operational systems flows through the platform they build. Their work spans real-time ingestion, large-scale analytical storage, workflow orchestration, and the self-service tools scientists, engineers, and ML teams use to go from raw measurements to discoveries. They build the data backbone of Scientific Superintelligence™, so the science moves faster and each experiment makes the next one smarter.

What You'll Be Building

• Design & Build UI and APIs: Design and build high-performance, secure, and well-documented UI and APIs that integrate with AI-driven applications.
• Database Architecture & Scaling: Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability.
• Application Development: Drive the implementation of front-end and backend services, focusing on performance, maintainability, and reliability.
• Performance & Reliability: Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads.
• Cloud & Infrastructure: Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade systems at scale.
• Cross-Functional Collaboration: Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows.

What You'll Need To Succeed  

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 8-15 years of engineering experience building and deploying large-scale systems in production. You must be strong in either front-end or backend.
• Full Stack Development: Experience developing web apps across the full stack (React, TypeScript, Monorepos like Nx, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic)
• Hands on experience using AI coding assistants to drive productivity is required.
• Communication & Collaboration: Acute listening skills, and a proven track record of working cross-functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences.
• Problem Solving: Proven ability to take ownership of complex backend challenges, balancing trade-offs between scalability, performance, and maintainability.

Bonus Points For

• Cloud & DevOps Knowledge: Hands-on experience with AWS; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions).
• Experience with ORMs: Experience with and web services for CRUD services (SQLModel, FastAPI, Django).
• Orchestration Systems: Experience with orchestrators tools (Airflow, Prefect, Temporal, Dagster).
• Familiarity with Python for Science: Familiarity with data science and ML libraries (pandas, numpy, scipy, jax, pytorch).
• Domain Background: Exposure to laboratory software or analytics for life sciences, material sciences, or related fields.
• Experience with laboratory devices, robotics, or hardware drivers.

Your Impact at LILA

Join us in shaping the future of science! We are seeking Staff, Senior II, and Senior I Software Engineers with either frontend or backend experience to join our software org, where you’ll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. Our teams span across App, Data, SSR, and LaS with a strong emphasis on Python development for scientific applications. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want to hear from you!

Our Software Teams

The Application Team (App)- They build the operating system for AI-driven science. Their platform unifies Machine Learning, Life Sciences, Physical Sciences, and Software into one AI-native experience — where a scientist can go from hypothesis to experiment to result in a single conversation. They ship the agents, the integrations, and the interfaces that make that possible.

The Scientific System of Record Team (SSR) - They build the memory layer for Lila's operations. It answers two questions:what did we plan to build? and what actually happened? These systems connect scientific intent to physical reality. Together with the data and automation teams, their systems ensure reproducibility and close the Design-Build-Test-Learn (DBTL) loop.

The Lab as Software Team (LaS)- They act as the physical and virtual execution layer for Lila's AI-driven science. This connects the Lila App to AI Science Factories (AISFs), the mechanism through which experiments are dispatched to real instruments. This team owns the full stack of lab integration: orchestration of labflows, instrument integrations, bi-directional data transfer, and the UI/UX that AI scientists and operators use to interact with the lab.

The Data Platform Team (Data)- They build and support the data systems that underpins Lila's AI Science Factory™. Every experiment run in our labs, every measurement from an instrument, and every signal from our operational systems flows through the platform they build. Their work spans real-time ingestion, large-scale analytical storage, workflow orchestration, and the self-service tools scientists, engineers, and ML teams use to go from raw measurements to discoveries. They build the data backbone of Scientific Superintelligence™, so the science moves faster and each experiment makes the next one smarter.

What You'll Be Building

• Design & Build UI and APIs: Design and build high-performance, secure, and well-documented UI and APIs that integrate with AI-driven applications.
• Database Architecture & Scaling: Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability.
• Application Development: Drive the implementation of front-end and backend services, focusing on performance, maintainability, and reliability.
• Performance & Reliability: Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads.
• Cloud & Infrastructure: Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade systems at scale.
• Cross-Functional Collaboration: Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows.

What You’ll Need to Succeed

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 5-10 years of engineering experience building and deploying large-scale systems in production. You must be strong in either front-end or backend.
• Full Stack Development: Experience developing web apps across the full stack (React, TypeScript, Monorepos like Nx, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic)
• Hands on experience using AI coding assistants to drive productivity is required.
• Communication & Collaboration: Acute listening skills, and a proven track record of working cross-functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences.
• Problem Solving: Proven ability to take ownership of complex backend challenges, balancing trade-offs between scalability, performance, and maintainability.

Bonus Points For

• Cloud & DevOps Knowledge: Hands-on experience with AWS; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions).
• Experience with ORMs: Experience with and web services for CRUD services (SQLModel, FastAPI, Django).
• Orchestration Systems: Experience with orchestrators tools (Airflow, Prefect, Temporal, Dagster).
• Familiarity with Python for Science: Familiarity with data science and ML libraries (pandas, numpy, scipy, jax, pytorch).
• Domain Background: Exposure to laboratory software or analytics for life sciences, material sciences, or related fields.
• Experience with laboratory devices, robotics, or hardware drivers.

WHAT YOU'LL DO

• Build sophisticated data triage and exploration interfaces that enable users to filter, analyze, and investigate data across millions of records
• Design and develop web front-end visualization tools for Zipline's data pipelines, enabling high-quality analysis to solve critical autonomy problems
• Build scalable and performant backend APIs and realtime data pipelines to support complex querying, filtering, and aggregation across large datasets
• Design and implement efficient database schemas, indexes, and query optimization strategies to ensure performant search and analysis at scale
• Collaborate closely with engineering teams to understand workflows and deliver tools that improve operational efficiency and data-driven decision making

WHAT YOU'LL BRING

• Demonstrated experience building production-grade full stack web applications
• Proven ability to work closely with internal customers and deliver software end-to-end in order to address diverse needs
• Strong experience with data-heavy web applications and performance optimization for large datasetsUnderstanding of database query optimization and working with complex JSON/nested data structures
• Strong user-centered design thinking - ability to iterate with users and translate complex technical requirements into intuitive UX
• Expertise in modern front-end (Typescript, React, Zustand, Storybook, Playwright)
• Experience with backend frameworks for API design (Django, Flask, FastAPI)
• Working knowledge of cloud databases (e.g. AWS RDS, DocumentDB)

What Else You Need to Know   

The Core Services team within Snorkel AI's Infrastructure organization will own the data platform that powers everything at Snorkel — the pipelines, access layers, event systems, governance, and compute infrastructure that every product team and customer deployment depends on. We are a small team with a large surface area, and we are in the middle of a foundational architecture shift: moving from a single-database data path to a multi-source, event-driven platform with dedicated stores for different workloads (transactional data in Postgres/RDS, analytical data in Snowflake, bulk storage in S3, metrics platform). The decisions being made now will define how data flows at Snorkel for years. You will be making them.

You’ll also shape our AI-native development workflow, contribute in modernizing CI/CD workflow (Buildkite, GitHub Actions), and integrate AI SRE tooling. Your work will directly accelerate developer velocity, reliability, and product quality across the company

What You'll Do

• Build and maintain the shared data access library and SDKs that Platform, Packaging, and Dataset API teams use to read from and write to multiple data sources (Snowflake, S3, RDS). Design interfaces that abstract source-level complexity while providing built-in auth, RBAC enforcement, pagination, and query governance.
• Design and implement event-driven data flows using event brokers,  CDC connectors, schema registry, event routing, dead letter queues. Make sure events flow reliably and failures are visible and recoverable.
• Build the systems that track how data moves through the platform (lineage), enforce who can access what (governance and RBAC), and log what happened (auditing). This includes PII handling, retention policy enforcement, and audit infrastructure for enterprise and federal compliance.
• Instrument the data platform with OpenTelemetry, define and monitor SLOs for query latency and pipeline success rates, and build alerting that catches issues before they become incidents. You will be on-call for the systems you build.
• Contribute to infrastructure cost visibility and optimization -  query cost estimation, workload right-sizing, and routing data to the most cost-effective storage tier for its access pattern.

What You'll Bring

• 8+ years building platform infrastructure, data infrastructure, data platforms, or backend systems with significant data components. You have built and operated pipelines, data access layers, or ETL/ELT systems in production.
• Strong proficiency in Python. Our stack is Python-heavy across Prefect, FastAPI, dbt, and the SDK layer.
• Hands-on experience with SQL and at least two of: Snowflake, Redshift, Postgres. You understand the performance characteristics of each and can write queries that don't bring down production.
• Experience with AWS — S3, RDS, EKS, EventBridge, IAM. Comfortable working in a Terraform-managed environment
• Experience with Kubernetes. Our workloads run on EKS and you will deploy, debug, and scale services on K8s.
• Familiarity with data orchestration tools (Prefect, Airflow, or Dagster) and transformation frameworks (dbt).
• Understanding of data governance concepts — RBAC, PII handling, audit logging, data lineage.
• Fluency with AI-assisted development tools (Claude Code, Cursor, or similar). This is a hard requirement — the team uses these tools daily and we expect engineers to leverage them for code generation, debugging, and investigation.

Nice to Have

• Experience building shared libraries or SDKs consumed by multiple teams — versioning, backwards compatibility, migration support.
• Experience with event-driven architectures — CDC, event buses, schema registries, at-least-once delivery semantics.
• Experience with OpenTelemetry, ClickHouse, or similar observability infrastructure.
• Prior work in regulated environments (SOC 2, FedRAMP, HIPAA) where compliance requirements shaped system design.
• Experience with Ray for distributed compute workloads.

Your Impact at LILA

We are seeking a Senior Software Engineer to join our Applied AI group and help build the next generation of our AI-driven scientific platform. In this role, you will design and optimize the backend systems, data pipelines, and AI integrations that power intelligent, data-driven applications. You’ll work at the intersection of backend engineering and machine learning, ensuring our platform seamlessly scales and supports cutting-edge applied AI techniques such as Retrieval-Augmented Generation (RAG), agentic AI, and large language model (LLM) integration.

This role is ideal for someone who thrives in bridging software engineering and applied AI—turning research into production-grade systems that drive real-world scientific discovery. If you are passionate about building performant, elegant systems that make AI useful and impactful, we would love to hear from you!

What You'll Be Building

• Applied AI Integration: Design and deploy backend services and data pipelines that directly support advanced AI applications, including LLMs, RAG, and agentic frameworks.
• API & Service Development: Build high-performance APIs and microservices that enable seamless integration between AI models, scientific tools, and user-facing applications.
• Data Pipeline Architecture: Architect and manage scalable pipelines capable of handling structured, unstructured, and vectorized data for AI/ML workloads.
• Database & Knowledge Systems: Implement and optimize SQL, NoSQL, and vector databases to support low-latency AI retrieval and inference workloads.
• Cloud & Infrastructure: Leverage AWS, Kubernetes, and infrastructure-as-code (Terraform/CloudFormation) to build robust, production-ready AI platforms.
• Performance & Reliability: Diagnose system bottlenecks, optimize for cost and speed, and ensure the reliability and fault-tolerance of AI-driven workflows.
• Collaboration: Partner with ML researchers, platform engineers, and scientists to translate models and algorithms into scalable, production-ready systems.

What You’ll Need to Succeed

• Educational Background: Bachelor’s or Master’s in Computer Science, Engineering, or a related field.
• Backend & Data Expertise: 7+ years of professional experience building and scaling production systems, including APIs, data pipelines, and distributed services.
• Programming Skills: Strong Python skills (FastAPI, Flask, Django), with solid experience in backend service development.
• Databases: Proven experience with SQL, NoSQL, and vector databases; skilled in schema design, indexing, and query optimization.
• Applied AI Systems: Hands-on experience integrating ML models or AI-driven workflows into production services.
• Cloud & DevOps: Proficiency with AWS, Docker/Kubernetes, CI/CD pipelines, and infrastructure-as-code.
• Communication & Problem-Solving: Ability to work cross-functionally with diverse teams and explain complex technical concepts to non-experts.

Bonus Points For

• Scientific & Data-Intensive Domains: Experience working with life sciences, materials sciences, or other research-heavy fields.
• Startup Experience: Comfort with fast-paced, iterative environments where impact and adaptability matter.

Role

We’re looking for an exceptional Senior Full-Stack Software Engineer to work hand in hand with our Product team to build polished, high-performance web applications using React with FastAPI on the backend and Postgres as a database.

The ideal candidate leads with deep frontend expertise in building sophisticated, stateful UIs in React/TypeScript, while bringing enough backend fluency to own features end-to-end. You'll build rich, data-dense interfaces for scientific workflows where getting the interaction design and state management right is the hard part. Additionally, the ideal candidate is an 'AI native' and uses their strong technical expertise to augment the prototyping speed provided by LLMs. You'll ship deliverables in days, not months, and have a sharp instinct for system architectures that achieve rapid delivery and robust performance.

You will be a core contributor to shaping our next-generation biotech platform that discovers and tests new drugs on lab-grown human tissues.

Own the building of scientific experiment design and results-monitoring tools that, together with our platform, have enabled Vivodyne to partner with a majority of the top-10 pharmaceutical companies in making better, safer cures to complex human diseases. You will be expected to deliver web applications that align with well-designed frames/user flows and product requirements that help scientists interact seamlessly with our unique datasets, robotic systems, and lab-grown tissues.

You’ll have the opportunity to work at the cutting edge of biotech and software engineering, collaborating with teams spanning tissue engineering, robotics, and AI. You'll be working a few feet away from large precision robots, laser microscopes, and robot arms, surrounded by an exceptionally talent-dense team of experts from multiple scientific disciplines.

You will be able to focus on building internal products and tools with incredible functionality, surrounded by sophisticated end users directly appreciative of the products you build---without needing to do integration testing for first-gen Chromebooks or handle bug reports from Fire tablets.

While bringing a passion and exquisite skill for building and shipping high-quality applications that drive scientific discovery, you'll be involved firsthand in the advancement of human health, you'll watch thousands of human organ tissues grow before your eyes, and join an intense, fun, fast-moving team in shaping the future of human health.

Responsibilities

Frontend-Led Full-Stack Development — Architect and build complex React/TypeScript interfaces for scientific workflow applications; own backend integration points via API design and data layer work in Postgres.

User Experience — Create clean, responsive, and user-focused interfaces that translate complex requirements into intuitive designs, establishing best practices for component architecture and state management patterns.

Code Quality & Best Practices — Write well-tested, maintainable code with a focus on scalability, performance, and cost-efficiency.

Collaboration & Communication — Work closely with scientists, engineers, and AI researchers to gather requirements, provide updates, and deliver impactful solutions.

High Velocity / AI Accelerated Development — Leverage leading language models and agentic tools like Claude Code and Codex, or similar to ship reliable code quickly; maximize prototyping and component design velocity while balancing robustness of implementations

Requirements and Expectations

Technical Excellence

• Deep expertise in React, TypeScript, and modern frontend architecture (component composition, state management, performance profiling). 
• Proficient in building visually appealing, high-performance React applications.
• Strong CSS/styling architectural skills (CSS modules, Tailwind etc.)
• Strong data modeling skills for biotech applications, translating scientific needs into structured schemas.
• Comfortable in API design, schema definition, and query optimization with Postgres.
• Solid foundation in data structures, algorithms, and software architecture (CS degree preferred).

Accountability & Problem-Solving

• Own full-stack development, ensuring high-quality, tested, and timely feature delivery.
• Balance speed and rigor to solve complex engineering challenges, from large-scale data ingestion to optimizing imagery metadata.

Collaboration & Communication

• Work cross-functionally with scientists, engineers, and AI researchers, aligning technical solutions with user needs.
• Keep end-users in mind, delivering intuitive, efficient workflows.

Delivering Results

• Manage time effectively, handling multiple priorities while shipping production-ready features.
• Champion best practices, maintain clear documentation, and uphold high coding standards.

Architecture & Design

• Design scalable, reliable systems while anticipating and addressing bottlenecks.
• Leverage open-source and existing frameworks to optimize development.

Leadership & Influence

• Mentor junior engineers through code reviews and knowledge sharing.
• Advocate for full-stack best practices to drive scientific and business impact.

Qualifications

• Bachelor’s or Master’s in Computer Science (or related field), or equivalent experience.
• 5+ years building complex React applications with sophisticated state management, not just simple CRUD interfaces.
• Fluency in TypeScript. Knowledge of TanStack ecosystem is a bonus.
• Experience Developing Applications that Render and Annotate Imagery is highly valued.
• Comfortable working with APIs and understanding the data layer.
• Working knowledge of Python (e.g. Pydantic, FastAPI).
• Working knowledge of Postgres in production environments.
• Experience in High-throughput Laboratory Automation or Robotics is highly valued.
• Excellent Communication Skills for conveying technical concepts and aligning stakeholder expectations.
• Project Delivery Experience in fast-paced environments; comfortable balancing shifting priorities and multiple projects.
• Proven Ability to collaborate across disciplines, from biology to automation to AI, delivering high-impact results.
• Track Record of shipping secure, maintainable, and well-tested code.

Vivodyne, Inc. is an equal opportunity employer. Vivodyne complies with all laws respecting equal employment opportunity and does not discriminate against applicants with regard to any protected characteristic as defined by federal, state, and local law.

The Work

Payers & Outcomes at Headway sits at the intersection of ML, clinical quality, and trust. You’re building the intelligent systems that protect the integrity of our network — spotting risk, surfacing quality signals, and giving providers real-time feedback so they can deliver great care. What you could work on:

• Clinical Feedback: Architect the LLM-powered systems that review clinical documentation at scale and deliver helpful, real-time feedback to providers. Turn a traditionally painful audit process into a coaching experience — and scale it across the entire network.
• Detecting Risk in Healthcare Claims: Design the ML/LLM systems that spot patterns of inappropriate billing, over-utilization, and low-quality care across millions of appointments and claims. Translate those signals into clear feedback for providers and transparent reporting for our insurance partners.
• Measuring & Elevating Clinical Quality: Help build the systems that systematically review every prescriber in our network against clinical quality standards — so we can measure, improve, and defend the quality of care Headway delivers. The stakes are real: our most recent launch reviews clinical notes and nudges providers to put a safety plan in place when a patient shows signs of suicidal risk — a system projected to save roughly 1,000 lives a year.
• Patient Needs & Provider Fit: Crack the “one size fits all” problem. Build ML systems that understand how complex a patient’s needs are and match them to providers best suited to help — so every patient gets the right care and every provider operates at their best.
• Trustworthy AI in Healthcare: Champion how Headway evaluates and iterates on AI systems. Build the evaluation frameworks, optimization loops, and observability that keep LLM-powered features reliable and safe in a regulated environment.
• Technical Foundations & Mentorship: Set the technical bar for the Payers & Outcomes group — ~12 engineers today, growing to 30–50 by end of year. Lay the architectural foundations other teams will build on, and raise the whole group’s engineering craft as it scales.

#LI-BM1

About Us:

Liberate builds AI agents to automate manual tasks for the $2.7T insurance industry. We started with voice — the hardest and most valuable channel in insurance — and are now expanding into full workflow automation across sales, servicing, and claims. Our long-term vision is to build reasoning agents capable of handling the entire spectrum of insurance carrier and broker operations. We've raised $72M to date, including a $50M Series B in October 2025, backed by top-tier venture firms.

About The Role:

We are looking for a skilled Senior Software Engineer to join our development team and help build scalable, reliable, and innovative AI-driven applications.

You will join an amazing team of talented and motivated engineers with diverse backgrounds and experience who value collaboration, learning and improvement, trust and respect, and technical excellence. We believe in creating an environment where teammates enjoy working together, celebrate successes, and have fun solving interesting problems.

Key Responsibilities:

• Design, develop, and maintain software applications that leverage foundational LLMs and are built with high performance and scalability in mind.
• Collaborate with cross-functional teams including data scientists, product managers, and other engineers to translate business requirements into technical specifications.
• Write clean, efficient, and well-documented software.
• Participate in code reviews and provide constructive feedback to maintain the highest standard of code quality.
• Contribute to the architectural design and decisions that shape the future of our AI platform.
• Advance technical progress, gaining buy-in across the organization and ensuring alignment on strategic initiatives.
• Troubleshoot, debug, and resolve issues across the entire stack, and contribute to the on-call rotation to ensure system reliability.

Required Qualifications:

• 5+ years experience writing high-quality production software in Python.
• Extensive experience writing asynchronous, high throughput software. 
• Extensive experience with FastAPI, Django, asyncio.
• Experience with NodeJS, React, Typescript and or Express.
• Proficiency in SQL and have experience working with real-time distributed data processing systems like RabbitMQ, SNS, SQS. 
• Passionate about  exploring emerging technology, and apply your curiosity to your work.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure, and familiarity with DevOps practices.
• Comfortability in navigating ambiguity, making trade-offs to deliver features today without compromising long-term quality, and driving innovation.
• Thrive in a collaborative, fully remote, distributed team environment and have experience working asynchronously.
• Learn from mistakes, adapt quickly, and maintain a forward-focused mindset.

Preferred Qualifications:

• Experience working with foundational LLMs and understand the various approaches to maximizing their efficiency.
• Experience in regulated industries.
• Previously worked in high-growth, fast paced environments.

*Hybrid role requiring 2 days per week in Berkeley or Boston. Candidates should be based in Boston or the San Francisco Bay Area, or willing to relocate.

Salary Range: $190,000-215,000 

Benefits:

• Competitive salary with equity options
• Flexible PTO
• 401(k) plan
• Comprehensive health, dental, and vision insurance coverage
• Collaborative and innovative company culture

Role: Senior Software Engineer - Full Stack, Technical Lead

Location: Hayes Valley, San Francisco, CA

Basic Job Details

Job Type: Full Time
Work Model: Hybrid
Remote Days: Monday & Friday
Office Days: Tuesday, Wednesday, Thursday

Job Description

We are seeking a Senior Fullstack Engineer who thrives in a fast-paced environment and has an unrelenting passion for building products that users love. The successful candidate will own project milestones and develop in our application, incorporating our stack, which includes Python, React, TypeScript, Postgres, and AWS.

Responsibilities

• Plan and execute project milestones, identifying and mitigating risks and swiftly resolving issues as they arise to deliver high-quality work
• Develop backend application layers and data models, ensuring robust functionality, security, and scalability. Our current tech stack includes Python 3, GraphQL, and FastAPI
• Build and maintain frontend interfaces using React and TypeScript, ensuring an exceptional user experience and high performance across all platforms
• Collaborate with cross-functional teams to understand end-user requirements, create effective project plans, and deliver effective technical solutions
• Mentor and provide feedback to junior team members to promote continuous learning and improvement
• Continually stay up-to-date with industry trends and technologies to ensure our technology stack remains current and competitive

Minimum Qualifications

• 5+ years of full-stack software development experience with web application architecture and design patterns for complex enterprise applications
• Advanced proficiency in Python with a track record of building intuitive, responsive, and fast web interfaces
• Proven experience leading complex technical projects, involving multiple engineers and/or dependencies on other teams
• Experience in managing complex backend services & infrastructure in high-growth environments
• Familiarity with web development best practices, and demonstrated ability to discuss engineering and product tradeoffs
• Proficiency with frontend languages and technologies such as Typescript and React

Preferred Qualifications

• Bachelor’s or Master’s Degree in Computer Science, Engineering, or a related technical field.
• Experience working with AWS or similar cloud-based services
• Experience refactoring and migrating legacy systems
• Strong foundation in first principles thinking to drive problem-solving and innovation

The Perks

• Competitive Base Salary + Cash Bonus Structure
• Annual Company Bonus + Long Term Incentive Plan
• 401k with Matching
• Hybrid Work Schedule
• Hyper-Stable, publicly traded Enterprise
• Medical, Dental, and Vision Health Coverage
• Employee Stock Purchase Program (15% discount to market value)
• Collaborative, Fun, and Tech Forward office in Hayes Valley, San Francisco, CA

Compensation Range: The annual base salary range for this position is $200,000 - $250,000*. Compensation will vary based on factors including skill level, proficiencies, transferable knowledge, and experience. In addition to base salary, Baton's full-time employees are eligible for an annual performance bonus.

We build foundational world models that can perceive, generate, reason, and interact with the 3D world — unlocking AI's full potential through spatial intelligence by transforming seeing into doing, perceiving into reasoning, and imagining into creating. 

We believe spatial intelligence will unlock new forms of storytelling, creativity, design, simulation, and immersive experiences across both virtual and physical worlds.

We bring together a world-class team, united by a shared curiosity, passion, and deep backgrounds in technology — from AI research to systems engineering to product design — creating a tight feedback loop between our cutting-edge research and products that empower our users.

Role Overview

We are building a production-grade web application for 3D Gaussian Splat scene generation, editing, and publishing, and we’re looking for a Pipeline Engineer to help integrate cutting-edge research features and make them reliable, debuggable, and delightful to use.

This is a high-ownership, fullstack-but-backend-heavy role that sits between R&D and frontend. You will work end-to-end across graphics/ML algorithms, backend services, and frontend UI — turning proof-of-concepts into shipped features that users can rely on. The ideal candidate enjoys making complex, messy systems work smoothly in production and improving them continuously based on both internal testing and external user feedback.

Key Responsibilities

• Bridge research and product by working closely with both graphics/computer vision researchers and frontend engineers to ship usable features.
• Turn standalone Python scripts into clean, production-ready systems with clear inputs, outputs, validations, and failure modes.
• Develop backend services, APIs, and tooling that expose complex 3D workflows in a reliable and scalable way.
• Assist in integrations across the 3D ecosystem, including asset import/export and format conversion with common DCC tools.

Ideal Candidate Profile

• You have a strong pipeline mindset, with experience turning scripts into production systems with clear inputs, outputs, validations, and failure modes.
• You enjoy building tools and infrastructure that enable others, and you take pride in making complex systems understandable and usable.
• You have fluency in the 3D ecosystem, including familiarity with 3D algorithms, DCC tools and common 3D file formats, sufficient to design integrations and debug workflow issues.

Minimum Qualifications

• Strong proficiency in Python, including packaging, typing, tooling, debugging, and performance profiling.
• Strong literacy in core 3D graphics and computer vision concepts, such as transforms, cameras, coordinate systems, rendering, and visual artifact debugging.
• Demonstrated experience taking prototypes to production, including refactoring, testing, CI/CD, versioned artifacts, and reproducibility.
• Solid backend fundamentals, including HTTP APIs, FastAPI (or similar frameworks), async/concurrency basics, cloud deployment, and service reliability.

Strongly Preferred / Nice-to-Haves

• Experience with photogrammetry, 3D reconstruction, or Gaussian splat rendering pipelines.
• Hands-on experience with DCC tools such as Blender, Maya, Houdini, Unreal, or Unity.
• Familiarity with the GPU stack (CUDA, PyTorch), batch/queue systems, and containerization (Docker, Kubernetes).
• Frontend adjacency, with comfort collaborating on React-based parameter plumbing and UX for technical controls.
• Experience with production pipelines at VFX, animation, or gaming studios.
• A production support mindset, including willingness to iterate on documentation, tutorials, and error messages to improve usability and reduce misuse.

Example Projects You Might Work On

• Packaging ML and 3D Python pipelines into GPU-backed FastAPI services with request validation, reproducible outputs, and well-defined request/response schemas.
• Designing parameter schemas and defaults that map cleanly from frontend controls to backend APIs and internal pipeline configurations.
• Integrating import/export workflows with popular DCC tools (e.g., Blender, Maya, Houdini, Unity, Unreal, USD), identifying workflow friction, and producing lightweight documentation, tutorials, and example code/scripts to help users succeed.

Who You Are:

• Fearless Innovator: We need people who thrive on challenges and aren't afraid to tackle the impossible.
• Resilient Builder: Impacting Large World Models isn't a sprint; it's a marathon with hurdles. We're looking for builders who can weather the storms of groundbreaking research and come out stronger.
• Mission-Driven Mindset: Everything we do is in service of creating the best spatially intelligent AI systems, and using them to empower people.
• Collaborative Spirit: We're building something bigger than any one person. We need team players who can harness the power of collective intelligence.

We're hiring the brightest minds from around the globe to bring diverse perspectives to our cutting-edge work. If you're ready to work on technology that will reshape how machines perceive and interact with the world - then World Labs is your launchpad.

Join us, and let's make history together.

Equal Opportunity & Pay Transparency

Equal Employment Opportunity

World Labs 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, genetic information, veteran status, or any other characteristic protected under applicable law. We welcome all qualified applicants and are committed to providing reasonable accommodations throughout the hiring process upon request.

California Pay Transparency

In accordance with California law, we disclose the following:

The Core Services team within Snorkel AI's Infrastructure organization will own the data platform that powers everything at Snorkel — the pipelines, access layers, event systems, governance, and compute infrastructure that every product team and customer deployment depends on. We are a small team with a large surface area, and we are in the middle of a foundational architecture shift: moving from a single-database data path to a multi-source, event-driven platform with dedicated stores for different workloads (transactional data in Postgres/RDS, analytical data in Snowflake, bulk storage in S3, metrics platform). The decisions being made now will define how data flows at Snorkel for years. You will be making them.

You’ll also shape our AI-native development workflow, contribute in modernizing CI/CD workflow (Buildkite, GitHub Actions), and integrate AI SRE tooling. Your work will directly accelerate developer velocity, reliability, and product quality across the company

What You'll Do

• Build and maintain the shared data access library and SDKs that Platform, Packaging, and Dataset API teams use to read from and write to multiple data sources (Snowflake, S3, RDS). Design interfaces that abstract source-level complexity while providing built-in auth, RBAC enforcement, pagination, and query governance.
• Design and implement event-driven data flows using event brokers,  CDC connectors, schema registry, event routing, dead letter queues. Make sure events flow reliably and failures are visible and recoverable.
• Build the systems that track how data moves through the platform (lineage), enforce who can access what (governance and RBAC), and log what happened (auditing). This includes PII handling, retention policy enforcement, and audit infrastructure for enterprise and federal compliance.
• Instrument the data platform with OpenTelemetry, define and monitor SLOs for query latency and pipeline success rates, and build alerting that catches issues before they become incidents. You will be on-call for the systems you build.
• Contribute to infrastructure cost visibility and optimization -  query cost estimation, workload right-sizing, and routing data to the most cost-effective storage tier for its access pattern.

What You'll Bring

• 4+ years building platform infrastructure, data infrastructure, data platforms, or backend systems with significant data components. You have built and operated pipelines, data access layers, or ETL/ELT systems in production.
• Strong proficiency in Python. Our stack is Python-heavy across Prefect, FastAPI, dbt, and the SDK layer.
• Hands-on experience with SQL and at least two of: Snowflake, Redshift, Postgres. You understand the performance characteristics of each and can write queries that don't bring down production.
• Experience with AWS — S3, RDS, EKS, EventBridge, IAM. Comfortable working in a Terraform-managed environment
• Experience with Kubernetes. Our workloads run on EKS and you will deploy, debug, and scale services on K8s.
• Familiarity with data orchestration tools (Prefect, Airflow, or Dagster) and transformation frameworks (dbt).
• Understanding of data governance concepts — RBAC, PII handling, audit logging, data lineage.
• Fluency with AI-assisted development tools (Claude Code, Cursor, or similar). This is a hard requirement — the team uses these tools daily and we expect engineers to leverage them for code generation, debugging, and investigation.

Nice to Have

• Experience building shared libraries or SDKs consumed by multiple teams — versioning, backwards compatibility, migration support.
• Experience with event-driven architectures — CDC, event buses, schema registries, at-least-once delivery semantics.
• Experience with OpenTelemetry, ClickHouse, or similar observability infrastructure.
• Prior work in regulated environments (SOC 2, FedRAMP, HIPAA) where compliance requirements shaped system design.
• Experience with Ray for distributed compute workloads.

About Headway

Headway's mission is to build a new mental health care system that everyone can access. We've built technology that takes the hardest parts of mental healthcare — finding the right provider, navigating insurance, managing payments — and makes them simple. We're now one of the fastest-growing companies in healthcare, with more than 200,000 patients finding care through Headway and thousands of therapists using our platform to grow their practices.

About Patient Core Experience at Headway

The Patient Core Experience team owns how patients find the right therapist on Headway. From search through the first several sessions, our four engineering pods — Onboarding, Profiles + Checkout, Ranking + Relevance, and Activation — build the systems that make great therapeutic matches happen.

We operate a three-sided marketplace (patients, providers, payers) with real complexity and massive impact. We're evolving from a provider directory into an intelligent matching platform that uses communication style, data-backed expertise signals, and patient-reported outcomes to connect people with therapists who are genuinely right for them.

Principles that guide us:

• Matching quality is the foundation of therapeutic outcomes — we obsess over getting patients to the right provider
• We ship fast and learn fast, but we protect patient trust above all else
• We build for the whole marketplace: patients, providers, and payers
• ML powers our systems, but empathy drives our product

The Problems You'll Solve

This role exists because we have hard, specific challenges that need senior engineering leadership to crack. Here's what your first year looks like:

Build an ML-powered matching system from the ground up. Our current matching is largely filter-based. We need to move to ML-powered ranking that incorporates provider communication style, expertise signals, and patient outcome data — without degrading the patient experience during the transition. You'll define the technical strategy for how we get there and own the execution across multiple pods.

Rearchitect team topology as the product evolves. We have four pods today, but the boundaries between ranking, activation, and onboarding will shift as we move toward intelligent matching. You'll need to evolve team structure, ownership boundaries, and technical interfaces as the product changes shape. This includes scaling the org from ~18 to ~25+ engineers while maintaining velocity and quality.

Close the gap between engineering output and patient outcomes. We have patient funnel metrics (intake-to-match, match-to-book, book-to-retained) but engineering doesn't yet co-own them tightly enough with Product and Data. You'll establish the operating model where engineering, product, and data science jointly own these metrics in a true triad — not one where engineering is an execution arm.

Define how your teams build software in the AI era. This isn't about adding a bullet point on AI tooling. You'll set concrete standards for how your ~30 engineers use AI-assisted development — how it changes code review, testing strategy, onboarding, and potentially team composition. You'll also own the AI/ML strategy for the product itself: where we use ML models vs. heuristics, how we handle explainability in a healthcare context, and how we build patient trust in AI-driven recommendations.

Key Responsibilities

• Set engineering strategy for the core patient experience in partnership with Product and Data Science leadership
• Lead 3 Engineering Managers; scale the org from ~18 to ~30+ engineers over the next 18 months
• Co-own patient funnel metrics with your Product and Data counterparts — not just deliver against them
• Drive delivery of ML-powered ranking, reimagined patient onboarding, and patient activation systems
• Build an engineering culture with clear standards for velocity, quality, and technical excellence — starting with honest assessment of where we fall short today

What You Bring

Required experience:

• 10+ years of software engineering experience, 5+ years managing engineering managers
• Led engineering for a consumer or marketplace product where search, matching, ranking, or personalization was core to the business
• Scaled an engineering org through a high-growth phase (25+ to 50+) while maintaining velocity and quality
• Technically strong enough to make sound architecture calls on ranking/ML systems, marketplace infrastructure, and consumer-facing surfaces — you don't write code daily, but you can review a system design and spot the problems
• Experience shipping ML-powered product features (search ranking, recommendations, personalization) at consumer scale
• Track record of moving business metrics (conversion, retention, engagement) through engineering-product partnership, not just delivering features on time
• Comfort working in a regulated industry where you can't just ship fast — you need to reason about bias, explainability, and patient safety in ML systems
• Practiced perspective on AI-augmented engineering workflows — you've led teams through adoption of AI development tools and have opinions on what changes and what doesn't

Nice-to-have:

• Healthcare experience or other regulated industries where data sensitivity and clinical consequences raise the stakes
• Experience with marketplace dynamics (supply/demand balancing, multi-sided incentive design)
• Experience building LLM-based product features (conversational interfaces, intelligent triage, AI-assisted workflows)
• Experience rethinking team structure or hiring profiles in response to AI productivity gains

Our Stack

Our platform runs on Python (Django/FastAPI) and TypeScript/React on the frontend. Elasticsearch powers search and ranking. PostgreSQL and Redis handle data storage and caching. We use dbt and Snowflake for data pipelines, Temporal for workflow orchestration, and custom ML models for matching. Everything runs on AWS.

You won't be writing code daily, but you'll need to engage deeply enough with these systems to make sound technical and organizational decisions.

You'll Love This Role If You Want To

• Solve a genuinely hard problem at the intersection of ML, marketplace dynamics, and healthcare — where getting matching right has real clinical consequences
• Shape an engineering org during a foundational transition, with high autonomy and strong executive support
• Co-own patient outcomes, not just engineering output
• Work at a company where the mission isn't marketing copy — patients are actually getting access to therapy they couldn't get before

Compensation and Benefits:

The expected base pay range for this position is $264,000 to $330,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.

We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.

• Benefits offered include:
• Equity compensation
• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home Stipend
• Therapy Reimbursement
• 16-week parental leave for eligible employees
• Carrot Fertility annual reimbursement and membership
• 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
• Flexible PTO
• Employee Assistance Program (EAP)
• Training and professional development

The Work

Fullstack at Headway means end-to-end ownership. You're building reliable abstraction layers over a fragmented healthcare system and translating them into seamless, empathetic user experiences. What you could work on:

• Therapist Practice Management: Build a best-in-class platform for Headway therapists to run their businesses. You'll own features from the database schema to the UI, creating intuitive web experiences for scheduling, AI-assisted clinical documentation, and payment management.
• Patient & Provider Engagement: Deepen the relationship between patients and their care. Build the interfaces and APIs that power seamless communication, personalized experiences, and tools that keep patients connected to their providers — and providers focused on what matters most.
• The Modern AI-Enabled Clinical System: Help design and build the systems that manage clinical data. Create high-integrity experiences for treatment plans and progress notes, integrating AI-powered clinical intelligence to give providers their time back.
• Frictionless Onboarding: Turn the historically painful process of insurance credentialing into a sleek, consumer-grade experience. Build products and tooling to get providers in-network and scaling their practice in record time.
• Growing the Network: Own the tools and experiences that expand Headway's reach — from acquiring new providers to empowering existing ones to bring their patients onto the platform. Build the infrastructure that fuels sustainable, high-quality growth.
• Technical foundations: Help the teams see around corners and lay the technical foundations for the future of our product. Build systems, tools, and processes that enable the team to ship innovative products quickly, safely, and reliably.
• Strategic leadership: As a Staff Engineer, you will work with a cross functional leadership team to shape the roadmap and technical strategy for the space.

#LI-BM1

About The Role

As a Principal Forward Deployed Engineer (FDE) at Invisible, you'll lead high-impact, AI-powered solutions that reshape how our clients operate their most critical workflows. You won’t just build and deploy — you’ll drive the strategy, architecture, and execution of end-to-end systems, working directly with client.

This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands-on with models and close to the impact they generate.

**Please note - We are always looking to connect with talented individuals for this role. This posting is part of our ongoing effort to build a strong pipeline of candidates and may not correspond to an immediate opening. Candidates who move forward in the process may be considered for current and future opportunities as they arise.

What You’ll Do

• Partner with delivery and executive stakeholders to scope, design, and lead implementation of AI-driven solutions
• Identify transformational opportunities in messy, ambiguous workflows and turn them into repeatable systems
• Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability
• Own projects from first discovery call through full deployment — including client-facing delivery, internal coordination, and post-launch iteration
• Build shared infrastructure, reusable components, and internal playbooks to level-up the team
• Coach and mentor mid-level engineers and help shape the culture of forward-deployed AI engineering at Invisible

What We Need

• 10+ years of software engineering experience, including significant time spent building data, ML, or backend systems
• Python & ML/LLM Frameworks: Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems
• Deployment & Infrastructure: Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS)
• Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance
• Data Management: Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes
• Strong product and system design instincts — you understand business needs and how to translate them into technical architecture
• Experience building usable systems from messy data and ambiguous requirements
• Excellent communication and client-facing skills; you’ve led conversations with technical and non-technical stakeholders alike
• Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments
• Be willing to be on-call for our customers when situations arise
• Ability to travel roughly 25–50% of the time, sometimes short-notice trips—primarily across North America with occasional international roll-outs—to work directly on-site with clients
• Strong engineering background demonstrated by a Bachelor’s degree in Data Science, Computer Science and related fields OR equivalent professional experience

What’s In It For You

Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity.

For this position, the annual salary ranges by location are:

• Tier 1:  $250,000 - $366,000
• Tier 2:  $227,000 - $333,000

The Work

Fullstack at Headway means end-to-end ownership. You’re building reliable abstraction layers over a fragmented healthcare system and translating them into seamless, empathetic user experiences. What you could work on:

• Therapist Practice Management: Build a best-in-class platform for Headway therapists to run their businesses. You'll own features from the database schema to the UI, creating intuitive web experiences for scheduling, clinical notes, and payment management.
• Patient-First Experiences: We’re moving toward a patient-centric model. Transform the therapist search experience by building the frontend interfaces and backend APIs that power personalized care recommendations, longitudinal data views, and seamless patient-provider matching.
• The Modern AI-enabled Clinical System: Help design and build the interfaces and systems that manage clinical data. Build high-integrity experiences for treatment plans and progress notes, integrating AI-powered clinical intelligence to give providers their time back.
• Frictionless Onboarding: Turn the historically nightmare process of insurance credentialing into a sleek, consumer-grade web experience. Build products and tooling to get providers in-network and scaling their practice in record time.

Our Stack

• Languages: TypeScript, Python 3
• Frontend: React, Remix, Next.js
• Backend & Storage: FastAPI, SQLAlchemy, Postgres, Redis, Snowflake
• Infrastructure: AWS, Temporal, Kafka
• Ops: Datadog, Sentry, PagerDuty
• AI Tools: Cursor, Claude, Gemini, Eddy (our in-house cloud agent harness)

Who You Are

• End-to-End Product Builder: You care just as much about the API architecture as you do the user experience. You seamlessly context-switch between backend logic and frontend state management.
• Owns Outcomes, Not Tasks: You've been handed ambiguous problems and turned them into shipped software. You know how to define the solution, pull in the right people across teams, and keep things moving when priorities shift.
• Sets the Technical Standard: You make technical decisions that optimize for maintainability and scale, not just shipping speed. You proactively improve your team's engineering velocity - whether that's refining tooling, improving automation, or establishing patterns that prevent entire categories of bugs.
• Mentor by Default: You pull engineers into design discussions without being asked. Your code reviews teach, not just gatekeep. You make sure knowledge gets shared across the team, not siloed in one person's head.
• Ships Fast, Iterates Faster: You can move from problem statement to working solution quickly. You'd rather ship a good v1 this week than a perfect v1 next month. Real feedback from therapists and patients is worth more than another round of design review.
• Quick Study in Complex Domains: Healthcare is a maze of payers, regulations, and exceptions. You don't need prior healthcare experience, but you need to be someone who dives into unfamiliar domains and builds a working mental model fast.
• Motivated by Impact: You want your engineering skills applied to problems that matter. Mental healthcare access is broken in America, and you want to be part of fixing it.
• Communicates with Precision: Whether it's a Slack thread, a design doc, or a cross-team meeting, you communicate clearly and concisely. You know that great engineering is wasted if you can't bring people along.
• AI Frontier Tinkerer: You don't just use AI tools - you push their limits. You've experimented with applying LLMs to real workflows, whether that's code generation, operational automation, or developer tooling. You bring a builder's mindset: what can we automate, what should stay human, and how do we ship it responsibly in healthcare?

Our Interview Process

After you apply to Headway, here are some details of what to expect during the interview process.

• Initial screen: You’ll connect with someone in recruiting so you can learn more about the team, Headway’s mission and exciting growth, and we can get a better idea of your background. 
• First round: You'll do a live coding interview with Karat, our technical interviewing partner. It's a great opportunity to showcase your problem-solving skills and learn more about what our engineering team is building.
• Final rounds: You’ll meet several team members for technical and non-technical interviews and leave with a fuller picture of what it’s like to work at Headway.
• References and the Offer: Our favorite part of the process! We'll send over all of the details, including specifics on employee equity, and congratulatory messages from excited future team members!

Compensation & Benefits

• Salary: $168,300 - $237,500 base salary plus a competitive equity package.
• Comprehensive Benefits: Medical, dental, vision, HSA/FSA, 401(k), Carrot Fertility reimbursement, and 16-week parental leave.
• The Mission: We reimburse your therapy and provide a professional development budget. We believe in what we’re building.
• Time Off: 13 holidays, a full week off in December, and flexible PTO.

At Klaviyo, the ARIA (Applications, Resources, Intelligence, and Automations) team is building the AI systems that transform how our employees work. We are looking for a Senior AI Engineer to design, build, and scale production-grade LLM integrations and AI-powered automation tools from the ground up. This role sits at the intersection of applied AI research and full-stack software engineering. You will own everything from LLM integration architecture and RAG system design to CI/CD pipeline management and production observability. If you want to build AI that real people use at scale every day, this is the role for you.

You will report into the Director of AI and App Engineering and ….

How you’ll make a difference:

• Design and build LLM-powered applications: Architect and develop production-grade systems leveraging large language models (GPT-4, Claude, Mistral, Llama) for internal automation, knowledge retrieval, and intelligent workflow assistance.
• Build and maintain AI integration pipelines: Design robust, scalable API integrations between AI models and internal systems such as HRIS, ticketing, CRM, and knowledge bases, ensuring reliability, low latency, and high availability.
• Develop full-stack AI features end-to-end: Own the complete development of AI features across the stack from backend model orchestration and API layers to frontend interfaces that make AI accessible to non-technical employees.
• Architect and manage CI/CD pipelines for AI systems: Build and maintain automated deployment pipelines for AI models and services, including model evaluation frameworks, A/B testing infrastructure, and safe rollout strategies.
• Implement RAG and retrieval systems: Design and build retrieval-augmented generation systems grounded in Klaviyo internal knowledge, ensuring accuracy, relevance, and up-to-date responses at scale.
• Evaluate and fine-tune AI models: Lead benchmarking, evaluation, and fine-tuning of foundation models for Klaviyo use cases, including prompt engineering and parameter-efficient fine-tuning techniques.
• Establish AI engineering best practices: Define coding standards, testing frameworks, and architectural patterns for AI development at Klaviyo, enabling the team to ship reliable AI features consistently.
• Build AI observability and monitoring tooling: Instrument AI systems with latency monitoring, output quality evaluation, hallucination detection, cost dashboards, and production alerting.
• Collaborate with Product and Data Science: Work closely with PMs, data scientists, and ML engineers to translate requirements into technical implementations, maintaining a tight feedback loop between experimentation and production.
• Drive security and compliance in AI systems: Ensure AI integrations follow data privacy best practices, implement guardrails for sensitive data handling, and maintain compliance with Klaviyo security and governance standards.

Who you are: 

• 3+ years of software engineering experience, with at least 2 years focused on building AI, ML, or LLM-powered systems in production.
• Deep expertise with large language models such as OpenAI, Anthropic, Mistral, or Llama, and experience integrating them into production applications via API.
• Strong full-stack engineering skills across Python (FastAPI, Flask, or Django) and TypeScript or JavaScript, with experience in modern frontend frameworks.
• Proven experience designing and building CI/CD pipelines for software or ML systems using tools such as GitHub Actions, Jenkins, or CircleCI.
• Experience with RAG systems, vector databases (Pinecone, Weaviate, pgvector), and embedding models.
• Proficiency with cloud infrastructure (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and infrastructure-as-code tools such as Terraform or Pulumi.
• Experience with prompt engineering, model evaluation frameworks, and LLM observability tools such as LangSmith or Weights and Biases.

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Want to help us help others? We’re hiring! 

GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010.

Join us! The GoFundMe team is searching for our next Senior Machine Learning Engineer to help design and implement our next generation of machine learning solutions powering search and retrieval, recommendation, and personalization systems. You will collaborate with an accomplished and motivated team of individuals to deliver high-impact solutions for our users and our business.

Candidates considered for this role will be located in the San Francisco Bay Area. There will be an in-office requirement of 3x a week.

The Job

• Lead the design, development, and maintenance of cutting-edge machine learning solutions that power search and retrieval, recommendation, and personalization experiences across our products.
• Partner with product and platform stakeholders to define and evolve catalogs, taxonomies, and entity understanding that improve discovery, relevance, and user experiences.
• Design and apply graph-based techniques—such as graph databases, knowledge graphs, and graph algorithms/models—to enhance retrieval, recommendations, personalization, and content understanding.
• Develop and deploy robust, fault tolerant, high-throughput services, emphasizing reliability, scalability, observability, and low-latency performance.
• Lead initiatives to optimize the performance and quality of ML systems using new or established offline and online metrics (e.g., relevance, ranking quality, coverage/diversity, engagement, and long-term user value).
• Support operational excellence by participating in initiatives to streamline ML workflows and establish standardized procedures to ensure consistent and high-quality outcomes across our projects and systems.
• Collaborate closely with AI/ML engineers and cross-functional teams, including data scientists, software engineers, product managers, and business stakeholders, to foster a culture of collaboration, scientific inquiry, and continuous learning.
• Employ a diverse set of tools and platforms, including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, and GitHub, to develop, deploy, and maintain scalable and robust machine learning systems.

You…

• 4+ years of hands-on experience in machine learning, applied ML engineering, data science, or related fields, with a strong emphasis on practical engineering applications and deploying robust solutions into production environments.
• Extensive experience with one or more of the following: search and retrieval systems (including ranking and relevance), recommendation systems, and personalization systems; experience combining these capabilities into end-to-end discovery experiences is a plus.
• Experience designing, developing, and deploying end-to-end ML systems, including data pipelines, feature engineering, model training and serving, and monitoring solutions.
• Experience with catalogs, taxonomies, entity resolution, embeddings, and/or semantic representations used to improve retrieval and recommendation quality.
• Familiarity with graph databases and knowledge graphs (e.g., modeling entities/relationships, building graph-powered features, applying graph algorithms, and/or graph ML) to support retrieval, recommendation, and personalization use cases.
• Demonstrated ability to guide projects and foster a collaborative and high-performing work environment that values continuous improvement and knowledge sharing.
• Ability to break down complex projects, effectively scope and sequence work, and manage timelines to ensure the timely and successful delivery of machine learning initiatives.
• Excellent verbal and written communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
• Advanced degree (Master’s or Ph.D.) in Computer Science, Statistics, Data Science, or a related technical field is preferred.
• A sense of humor is optional but appreciated.

Why you’ll love it here...

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
• Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, and commuting, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
• Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
• Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
• Community Engagement: Make a difference through our volunteering and Gives Back programs.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences.  We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.

The annual U.S. salary range for this full-time position is $181,000 - $271,000. The company also offers equity and other benefits to employees, including healthcare, dental, vision, life insurance and 401(k) saving program. In addition to this wage, there are geolocation differentials that will increase pay depending on the work location. Additionally pay may vary depending on other factors including skills, experience, education, or training. Your recruiter can share more about the specific total compensation package based on your location during the hiring process.

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com. 

Global Data Privacy Notice for Job Candidates and Applicants:

Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. 

Learn more about GoFundMe:

We’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘25 annual report.

Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.

For recent company news and announcements, visit our Newsroom.

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Metaview as part of our hiring process for jobs in NYC and certain features may qualify it as an automated employment decision tool (AEDT), as defined by New York City Local Law 144. As part of the hiring process, we provide Metaview with job requirements and candidate submitted resumes and application materials to assist in evaluating job-related qualifications. While this tool is used to improve efficiency and support our recruiting personnel, all final hiring decisions are made by GoFundMe employees.

We began using Metaview on March 10, 2026. The Metaview tool has been reviewed by an independent auditor. Results of the audit may be viewed here. The tool evaluates your professional experience, technical skills, education, and other qualifications using information collected directly from your submitted resume and application materials; all such data is retained in accordance with GoFundMe’s Personnel Privacy Notice and applicable legal requirements. If you would like to request an alternative selection process or a reasonable accommodation, please contact accommodationrequests@gofundme.com.

About your role

Rocket Lawyer is looking for a motivated and passionate AI/ML Software Engineering Intern to join our team working on Rocket Copilot, our AI assistant launched in December 2023. In this internship, you will collaborate with our cross-functional teams to assist in building a cutting edge AI platform. You’ll have the opportunity to learn from experienced engineers while working on real-world AI/ML projects, helping design, implement, test, and maintain new AI features.

We value a collaborative and supportive work environment, where we celebrate learning and growth. This is a great opportunity for someone eager to expand their skills and contribute to innovative AI solutions.

Responsibilities

• Assist in prompting, evaluating, fine-tuning, and maintaining large language models (LLMs) for AI features
• Support the creation, monitoring, and troubleshooting of backend API services that interact with ML models
• Collaborate with cross-functional teams to integrate AI into existing and new Rocket Lawyer products
• Research and stay up-to-date with industry trends around generative AI and machine learning
• Prototype product features to explore new AI capabilities and write clean, understandable code

What you’ll need

• Currently pursuing a BS, MS, or PhD in Computer Science, Mathematics, Statistics, or a related field.
• Basic understanding of machine learning concepts and algorithms.
• Familiarity with generative AI technologies and models (Deep Learning, RAG, Neural Networks, Agents).
• Interest or experience working with large language models (LLMs) and generative AI.
• Strong programming skills in Python

A bonus if you have

• Experience with backend Python frameworks like FastAPI, Flask, Django, etc.
• Familiarity with vector databases.
• Additional programming skills in languages such as Java, Kotlin, or NodeJS.
• SQL knowledge.
• Interest in building user-facing products.
• Understanding of microservices architectures and distributed systems.

Interview Process

• Recruiter Phone Screen
• Hiring Manager Interview
• Team Interview

About Pump.co

Location: San Francisco, CA (Onsite 5 days a week)

Compensation: $120K–$200K salary + 0.1%–0.6% equity

Pump is on a mission to radically simplify AWS cost optimization for teams building in the cloud. We use group buying and AI to help startups save like big tech — often reducing AWS bills by ~60%, completely for free.

As a Frontend Engineer, you’ll play a foundational role in shaping both our product and our company. You’ll work closely with the founding team, contribute across the stack (especially frontend), and help define our technical direction and culture from the ground up.

This is a rare chance to join something early and make a real impact — we hope Pump becomes a career-defining chapter for everyone who joins.

What You’ll Do

• Build intuitive, performant, and scalable interfaces that bring our vision to life
• Contribute across the stack, with a strong emphasis on frontend architecture and best practices
• Work closely with engineers, designers, and founders to ship quickly and iterate based on feedback
• Help define and execute our technical roadmap — balancing technical debt and innovation
• Invent, improve, and maintain development processes, tools, and workflows
• Prototype often and move fast — while maintaining high product quality and UX standards

Qualifications

• BS or MS in Computer Science, Engineering, or a related field
• 3+ years of experience as a full stack engineer, with a focus on building scalable and reliable web applications
• Preferably has experience at a Series B+ to pre-IPO company
• Strong proficiency in at least one modern frontend framework — React and Next.js preferred
• Strong proficiency in Python, and familiarity with at least one Python backend framework (e.g. Django, FastAPI, Flask)
• Experience with AWS — knowledge of cloud infrastructure and cost/billing concepts is a plus
• Experience with SQL or NoSQL databases
• Experience with Docker; container orchestration systems like Kubernetes are a plus
• Strong communication skills and ability to collaborate effectively with cross-functional teams
• Enjoys prototyping and experimenting quickly to validate ideas and iterate fast

Required Skills

• Deep expertise in JavaScript/TypeScript and frontend development
• Strong architectural understanding of scalable frontend systems
• Experience integrating with backend APIs and working with real-time or dynamic data
• Strong product sense and attention to detail — you care how things look and feel
• Ability to thrive in a fast-paced, ambiguous startup environment and take initiative
• Ability to work onsite 5 days a week

Bonus Points For

• Experience at early-stage startups or fast-growth environments (Series A–C, pre-IPO)
• Passion for developer tools, infrastructure, or cloud platforms
• Familiarity with Kubernetes or modern DevOps workflows
• An opinionated eye for clean, simple design and thoughtful UI

Benefits

• Comprehensive healthcare and dental coverage for you
• 401(k) plan
• Generous PTO: 13 accrued days, plus company shutdown December 24—January 1st
• Free lunch & dinner at the office
• Annual company-paid retreats
• Developmental bonuses: support for professional development opportunities tied to cloud and related fields

About Pump.co

Gartner predicts that cloud spend will be over $2T/yr by 2030, making it the fastest-growing expense for tech companies. Managing it well demands constant engineering effort—time that could be spent building your product.

At Pump, we're building the fastest way to save ~60% on cloud costs. Our AI-powered platform not only automates savings but also leverages the power of group buying for even deeper discounts. Backed by Y Combinator, we’re on a mission to transform cloud cost optimization through AI.

Our founding team includes experienced entrepreneurs with prior exits, and our culture is fast-paced, collaborative, and flat in structure. If you’re excited about shipping real impact and joining a team at an early, career-defining stage—we’d love to meet you.

About the Role

Skills: Python, FastAPI, PostgreSQL, AWS, Docker, Kubernetes (nice to have), LLM/AI (bonus)

As a Backend Engineer, you’ll contribute directly to the core of our product and infrastructure. This role is ideal for someone looking to grow within a strong engineering team while delivering meaningful work that touches real customers.

You’ll collaborate closely with engineers, designers, and founders—working across the stack to build, improve, and scale our platform.

We are 5 days a week in office. No remote work will be considered. 

What You’ll Do

• Design, build, and maintain backend services that power the Pump platform
  
  
• Work with the team to define and scope new product features
  
  
• Contribute to a strong engineering culture by participating in code reviews and continuous improvement
  
  
• Help extend our internal tools, dev workflows, and CI/CD pipelines
  
  
• Ensure system reliability, performance, and maintainability
  
  
• Collaborate across functions to solve real customer problems with intuitive engineering solutions
  
  

What We’re Looking For

• 3–15 years of professional backend engineering experience
• Ability to work 5 days a week in office
• Proficiency in Python and familiarity with FastAPI or similar frameworks
• Experience with SQL databases—we use PostgreSQL
  
• Comfort working in a cloud environment (AWS preferred)
• Familiarity with containerization and orchestration tools like Docker and Kubernetes (nice to have)
• Excitement about early-stage startups and the ability to thrive in fast-moving environments
• Clear communication and collaborative instincts

Bonus Points For

• Experience with cloud billing/cost tooling
  
  
• Interest in or exposure to LLMs or AI integrations
  
  
• Familiarity with NoSQL databases like DynamoDB
  
  

Benefits

• Comprehensive healthcare and dental coverage for you

• 401(k) plan

• Generous PTO: 13 accrued days, plus company shutdown December 24—January 1st

• Free lunch & dinner at the office

• Annual company-paid retreats

• Developmental bonuses: support for professional development opportunities tied to cloud and related fields

If you’re ready to grow fast, learn constantly, and make a measurable impact—join us.

Minimum Requirements and Pay

US Citizen/Visa Only - no sponsorships available

Minimum 3 years of experience

Base salary USD 120,000-200,000 per year

Eligible for our highly valuable equity

About Snorkel

We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI and machine learning (ML) techniques to successfully deliver solutions to our customers. You will work directly with our customers to understand their business and technical needs and design and deliver AI solutions to solve them - either by leveraging Snorkel Flow or developing custom approaches when needed. You will also help define Snorkel’s Applied AI tooling by translating repeatable real-world challenges into reusable solution recipes, workflows, best practices, and platform-level capabilities that become part of Snorkel Flow’s next generation of AI tooling. We move fast and are constantly prototyping and innovating new ways to deliver value to our customers. This position is ideal for someone who enjoys solving complex problems, bridging the gap between AI technology and business value, working directly with customers, keeping up-to date with AI research, and standardizing bespoke solutions into internal recipes and staying naturally curious about the infrastructure that underpin the Applied AI stack end-to-end.

Main Responsibilities

• Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform.
• Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows.
• Create augmented real-world datasets and comprehensive evaluation workflows to ensure model reliability, transparency, and stakeholder trust. A data- and evaluation-first mindset is essential for success in this role.
• Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow.
• Collaborate closely with pre-sales Solutions and Product teams to map customer needs to existing capabilities, prioritize roadmap gaps, and guide successful project setup.
• Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices.
• Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI.
• Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams.
• Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI.
• Annual travel up to 25%.

Preferred Qualifications

• B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience.
• 3+ years of customer-facing experience in the design and implementation of AI/ML solutions.
• Proficiency in Python, including strong grounding in software engineering fundamentals (e.g., modular design, testing, profiling, packaging) and experience with modern Python constructs and libraries for type validation and typed data modeling (e.g., pydantic), building type-safe systems (e.g., mypy), testing (e.g., pytest), packaging and environment configuration (e.g., poetry), API and service frameworks (e.g., FastAPI), serialization and structured data handling (e.g., msgspec), and orchestration tooling relevant to ML deployment (e.g., Ray, Airflow).
• Expertise across the Applied AI stack, spanning classical ML libraries (e.g., scikit-learn), deep learning frameworks (e.g., PyTorch), foundation-model ecosystems (e.g., Hugging Face Transformers), vector/embedding tooling (e.g., FAISS), data processing frameworks (e.g., pandas, Spark), retrieval/RAG tooling (e.g., Chroma, Weaviate), synthetic dataset curation, evaluation workflows, and LLM orchestration, workflow, agent authoring tools (e.g., LlamaIndex, LangGraph, CrewAI).
• Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement.
• Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
• Ability to work in a fast-paced environment and balance priorities across multiple projects at once.

Compensation range for Tier 1 locations of San Francisco Bay Area $172K - $300K OTE. All offers also include equity in the form of employee stock options. Our compensation ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Locations

Redwood City, CA - Hybrid; San Francisco, CA - Hybrid - US; New York, NY - Hybrid

#LI-CG1

About the role

Anthropic is seeking an exceptional Senior Staff Software Engineer to join the Claude Developer Platform team and serve as the senior-most individual contributor across API Engineering. Since launch, the Claude API has seen rapid growth and adoption by companies of all sizes to build AI applications with our industry-leading models. The API serves as the primary channel for safely and broadly distributing AI's benefits across all sectors of the economy.

This role sets the technical direction for the systems that make Claude accessible to developers, enterprises, and partners at scale. You will operate at the intersection of technical strategy and execution, partnering closely with Research, Inference, Platform, Infrastructure, and Safeguards to ensure the Claude API is reliable, capable, and positioned to grow with Anthropic's ambitions.

This is a high-agency role that spans all API Engineering teams: API Core owns the foundational reliability and performance of the Claude API; API Capabilities ships frontier model capabilities—vision, tool use, computer use—directly to developers; API Knowledge builds retrieval and grounding systems that let Claude reason over external data; API Distributability ensures Claude reaches customers wherever they need it, with the enterprise-ready infrastructure to support it; and API Agents builds the infrastructure for long-horizon agentic workflows in production.

Responsibilities

• Define and drive multi-year technical strategy for the Claude API, setting direction across API Core, Capabilities, Knowledge, Distributability, and Agents.

• Identify and personally lead the highest-complexity, highest-impact engineering initiatives spanning multiple teams.

• Serve as the primary technical decision-maker for major architectural decisions with org-wide scope.

• Partner with Research to evaluate and integrate frontier capabilities; work with Inference and Platform for reliable delivery at scale; collaborate with Infrastructure and Safeguards for reliability, security, and responsible deployment.

• Mentor and develop Staff-level engineers across the org.

• Drive alignment across Product, GTM, Safety, and beyond while proactively identifying and addressing systemic technical risks.

You may be a good fit if you:

• Have 12+ years of engineering experience with a clear track record operating at Staff or Senior Staff level.

• Have demonstrably shaped technical strategy for large-scale API or distributed systems platforms.

• Drive the highest-leverage technical outcomes without formal authority—you lead through influence, quality of thinking, and trust.

• Have deep expertise in distributed systems and API architecture, and are effective writing design docs, making architectural calls, and coding in critical paths.

• Are highly effective across org boundaries—you build trust with Research, Inference, Infrastructure, Safeguards, and business stakeholders alike.

• Bring strong product instincts and a craftsperson's approach to API design; you communicate clearly with both technical and non-technical audiences.

Technical Stack

• Languages: Python, TypeScript

• Frameworks: FastAPI, React

• Infrastructure: GCP, Kubernetes, Cloud Run, AWS, Azure

• Databases: PostgreSQL (AlloyDB), Vector Stores, Firestore

• Tools: Feature Flagging, Prometheus, Grafana, Datadog

Deadline to apply: None. Applications will be reviewed on a rolling basis.

Location Preference: Preference will be given to candidates based in New York or the San Francisco Bay Area as these positions are part of an SF- or NY-based team.

About Klaviyo

Klaviyo is a leading marketing automation platform that helps businesses grow by delivering personalized experiences. Our mission is to empower creators to own their destiny. We believe in providing an exceptional developer experience that enables our engineering teams to build and ship high-quality software efficiently and with confidence.

About the Team

The Developer Infrastructure team at Klaviyo is at the heart of our engineering organization, dedicated to accelerating Klaviyo development. We build and maintain the tools and processes that allow engineers to maximize their focus on business objectives by minimizing time spent on build and deployment systems, foundational software "building blocks," and development environments. We are committed to fostering open communication and collaboration with our internal customers – the engineers.

As a Senior Lead Software Engineer within the Dev Infrastructure pillar, you will serve as the primary technical architect for our Dependencies and Platform domain while driving the overarching technical vision for the entire Dev Infra group. You will partner with leaders across CI/CD, Web Platform, Environments, Quality Tools & Testing and AI Enablement to ensure a cohesive infrastructure strategy, acting as a key technical liaison to the broader Core Infra organization. Your leadership will ensure that our core systems, dependency lifecycles, and platform upgrades are not just maintained, but architected to accelerate engineering velocity across the entire company.

What You'll Do

As a Senior Lead Software Engineer, you will have an overarching responsibility for the architecture, health, and dependencies for the Klaviyo code base with a focus on the backend. Your role will involve:

• Technical Strategy: Define technical strategy within the scope of the Klaviyo backend and execute to improve the area's architecture, products, infrastructure, and processes. 

• Strategic Planning and Architecture: Define the technical vision and architectural roadmap for the platform, ensuring all upgrades and dependency management align with long-term business goals for scalability, reliability, and security.
• Dependency Management: Lead efforts to determine, analyze, and optimize backend and third-party dependencies, ensuring they are secure, performant, and reliable. This includes establishing frameworks for risk assessment and contingency planning related to dependencies.
• Platform Upgrades and Rollouts: Oversee and assist with the planning and seamless rollout of major software releases and updates, managing the entire lifecycle from design to deployment in production environments including significant individual contributions.
• Enhance Developer Productivity: Drive initiatives to improve platform cycle time metrics across the board, including PR CI Speed, Human Code Review Pickup Time, and Commit Velocity by Repo. This involves a relentless focus on reducing toil and increasing engineering efficiency.
• Mentorship: Mentor other engineers regularly, primarily experienced lead and senior engineers. Ensure others in the area are developing skills they need to improve within the organization.
• Problem Solving and Reliability: Act as a go-to expert for diagnosing and resolving complex performance, scalability, and reliability issues across the platform. Implement proactive monitoring and telemetry to identify and address problems before they become critical incidents.
• Cross-functional Collaboration: Partner with product managers, security teams, hardware engineers, and other stakeholders to gather requirements, resolve conflicts, and ensure alignment across all teams and projects.
• Continuous Improvement: Stay current with emerging technologies and industry trends, evaluating new tools and practices to identify how they can improve systems and internal processes. 

Who You Are

• 12 years of experience in software development, strong knowledge of computer science fundamentals, domain-driven design, and extensive expertise in architectural patterns, specifically within the domain of distributed systems.
• BA or BS Degree in Computer Science, related field, or equivalent experience.
• Technical Expertise: Deep expertise in relevant programming languages (e.g., Go, Python) and cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and Infrastructure as Code (Terraform).
• Technical Strategy: Demonstrated experience in contributing to the product and platform vision, as well as defining the strategy within the broader scope of long-term organizational needs.
• Architectural Skills: Strong understanding of software architecture, design patterns, and system integration, with the ability to define technical strategies and influence architectural decisions across multiple teams.
• Soft Skills: Exceptional problem-solving, analytical, leadership, and communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
• AI Enthusiast: You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.

Nice to Have

• Experience with specific tools such as Pants, FastAPI, Django, React, Terraform, Buildkite.
• Background in performance optimization
• Familiarity with complex data management for testing, including large datasets and production-like data replication.

Our Tech Stack

• Python, Django, FastAPI
• Apache Kafka, Apache Pulsar, RabbitMQ, Spark, Airflow, and other tech from the big data stack
• MySQL, PostgreSQL, Clickhouse, Redis
• Typescript, React, Babel, Jest, Webpack
• Graphite, statsd, Chronosphere
• AWS, Terraform, Docker, Kubernetes, Pantsbuild, Argo, and other modern DevOps tools

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Position Title: Senior Fullstack Engineer
Location: San Francisco, CA
Time Type: Full Time

The Opportunity:

Ohalo is seeking an experienced Senior Fullstack Engineer to build and evolve internal platforms that power our breeding, automation, and machine-learning workflows. This role spans backend services, data systems, web applications, and mobile tools, enabling scientists, engineers, and operators to interact with complex systems in reliable, intuitive ways.

You’ll focus on internal tooling, system integration, and platform reliability—building the connective tissue between robotics, ML pipelines, and human workflows.

Responsibilities:

• Design, build, and own internal platforms and infrastructure used by science, ML, and automation teams.
• Develop and maintain backend services and APIs using Python (FastAPI) that support web, mobile, and ML-driven workflows.
• Build and maintain fullstack internal applications, including:
• Web frontends (e.g., React)
• Mobile applications using React Native for operational and field workflows
• Design and operate cloud infrastructure on GCP, including networking, compute, storage, and IAM.
• Manage infrastructure-as-code (e.g., Terraform, Pulumi) and deployment pipelines.
• Build and evolve scalable data platforms using BigQuery, Python, and Spark.
• Implement and maintain service-oriented and event-driven architectures using Pub/Sub, Kafka, and related tooling.
• Partner with ML engineers to support model deployment, orchestration, and production integration.
• Establish and maintain observability, reliability, and security across services and infrastructure (logging, metrics, alerting).
• Improve developer experience through better abstractions, tooling, CI/CD, and documentation.
• Proactively identify and address scalability, performance, and operational risks across the platform.

Requirements:

• Bachelor’s degree in a technical field (Computer Science, Engineering, or similar).
• 5+ years of experience as a Fullstack, Platform, Backend, or Infrastructure-oriented Engineer.
• Strong backend experience with Python and frameworks such as FastAPI.
• Hands-on experience operating cloud infrastructure on GCP (preferred) or AWS.
• Experience with infrastructure-as-code, CI/CD pipelines, and production deployments.
• Experience designing and operating service-oriented and event-driven systems.
• Familiarity with messaging and streaming platforms (Pub/Sub, Kafka).
• Strong systems thinking, with the ability to reason across product, platform, data, and infrastructure layers.
• Comfortable working independently in a cross-functional, distributed environment.
• Clear communicator who can collaborate effectively with science, ML, and automation teams.

Nice to haves:

• Proficiency with frontend development (e.g., React) and mobile development using React Native.
• Experience with Agentic workflows.

The anticipated pay range for this role is $150,000 - $190,000 per year for our San Francisco, CA location, though salary will be based on a variety of factors including, but not limited to, experience, skills, education, and location.

About Ohalo: 

Ohalo™ aims to accelerate evolution to unlock nature's potential. Founded in 2019, Ohalo develops novel breeding systems and improved plant varieties that help farmers grow more food with fewer natural resources, increasing the yield, resiliency, and genetic diversity of crops to sustainably feed our population. Ohalo's breakthrough technology, Boosted Breeding™, will usher in a new era of improved productivity to radically transform global agriculture. For more information, visit www.ohalo.com.

Notes: If you previously applied for a job at Ohalo Genetics, we encourage you to restate your interest in the position by submitting your application.

Ohalo is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws. Ohalo is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

No visa sponsorship is available for this position at this time. 

This organization participates in E-Verify. Posters linked here. 

No recruiters, please.

About this role: 

Building for trust is non‑negotiable in our mission of making mental healthcare more accessible and affordable across the US: patients share sensitive information, payers demand demonstrably strong controls, and providers depend on reliable, secure infrastructure. Trust Foundations is responsible for instilling confidence in our products by safeguarding our user’s data. We achieve this by developing out-of-the-box identity, access, and secure-data platforms for other engineering teams to utilize. Our mission is to make the most secure path the most efficient path, enabling clinicians, patients, and payers to trust Headway implicitly.

This team is growing and we are hiring for multiple roles at both mid/senior levels. As a Software Engineer/Senior Software Engineer on our Trust Foundations team, you’ll be working on 0-1 access control (RBAC/ABAC), OAuth 2.0/OIDC platforms while shaping the long‑term vision for trust at Headway. You will translate open identity and authorization standards into scalable building blocks; embed privacy‑by‑design and reliability principles into everything we build; and mentor engineers across the company in Trust first thinking.

What you’ll do here:

• Design, build, and operate core trust primitives - authentication providers, authorization engines, data governance, stratified encrypted data stores, and tamper‑evident audits.
• Embed security & privacy by design - Partner with Legal / Compliance to translate regulatory language into concrete engineering controls.
• Scale our identity rails -  Design and evolve multi‑tenant authentication & authorization services that handle millions of sessions daily with high availability expectations.
• Deliver scalable, secure platform foundations -  Design and build 0-1 shared services, implement consistent access control patterns that enable product teams to move quickly while ensuring security-by-default (least‑privilege access, encryption in transit and at rest, audit hooks).
• Turn ambiguous requirements into incremental delivery plans - Lead architecture reviews; break large problems into testable milestones; and make pragmatic build‑vs‑buy decisions in a regulated domain.
• Champion operational excellence - Instrument services, tune alerting, own on‑call runbooks, and drive post‑incident hardening.
• Elevate engineering culture -  Mentor teammates, document patterns, and help recruit the next generation of Headway engineers.

Who you are: 

• Security Mindset: You are passionate about cybersecurity and protecting access to sensitive user data. 
• Cross functional Collaboration - you have demonstrated effective collaboration working with product, infosec and compliance teams. 
• A track record of mentoring engineers, elevating design quality, and improving engineering processes.
• Secure Architecture: You think of security platforms, not as a gate, but as an enabler of secure product development. 
• Dealing with ambiguity: You are comfortable working with and bringing clarity to ambiguous requirements. 

Preferred (not required) experience: 

• 3+ years of experience working in data governance and access control systems (RBAC/ABAC) compliant with HIPAA, HITRUST, SOC2 etc
• 3+ years of experience working with third party IdPs and expertise with OAuth 2.0 / OIDC standards.
• 3+ years of experience with Python, TypeScript and AWS.

About Engineering at headway:

Building a new mental healthcare system at Headway is only possible because of the scale and leverage that software can provide.  The engineering team at Headway is a small but mighty team using technology to build that future (and have a fun time while doing it!).

Principles that guide us:

• Focus on the mission - We view software as a means of effecting change in the world, not as an end unto itself. We write software to empower our patients and therapist to better solve the problems they’re facing.
• Ship small, learn fast - We are building new and novel products and believe that we learn what our users need by quickly shipping and iteration.
• Everything is a product - Whether it's our patient search experience or a developer productivity improvement, we treat everything we build at Headway as a product with end-users in mind.
• Optimize for trust - We believe that engineers should be continually learning. To learn effectively and to be productive, engineers must feel safe asking questions and discussing mistakes.

Tools we use:

• Languages: Python 3, TypeScript
• Libraries & Frameworks: FastAPI, SQLAlchemy, React, Remix, Next.js
• Datastores: Postgres, Redis
• Infrastructure: AWS (Fargate, ECS, S3, and more), Spark and Kafka
• Monitoring: Datadog, PagerDuty, Sentry
• Version Control: Github, PagerDuty
• Vulnerability Management: Snyk, Semgrep
• Cloud Security: Lacework

Our interview process

After you apply to Headway, here are some details of what to expect during the interview process.

• Initial screen: You’ll connect with someone in recruiting so you can learn more about the team, Headway’s mission and exciting growth, and we can get a better idea of your background. 
• First round: You'll meet with an engineer on the team to do some live coding and learn more about the engineering team.
• Final rounds: You’ll meet several more team members for technical and non-technical interviews and leave with a fuller picture of what it’s like to work at Headway.
• References and the Offer: Our favorite part of the process! We'll send over all of the details, including specifics on employee equity, and congratulatory messages from excited future team members!

Compensation and Benefits:

The expected base pay range for this position is $168,300 - $237,500, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.

We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.

Benefits offered include:

Equity Compensation

• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home Stipend
• Therapy Reimbursement
• 16-week parental leave for eligible employees
• Carrot Fertility annual reimbursement and membership
• 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
• Flexible PTO
• Employee Assistance Program (EAP)
• Training and professional development

#LI-SC1

About Engineering at Headway

Building a new mental healthcare system at Headway is only possible because of the scale and leverage that software can provide.

Principles that guide us:

• Focus on the mission: We view software as a means of effecting change in the world, not as an end unto itself. We write software to empower our patients and therapist to better solve the problems they’re facing. 
• Ship small, learn fast: We are building new and novel products and believe that we learn what our users need by quickly shipping and iteration
• Everything is a product: Whether it's our patient search experience or a developer productivity improvement, we treat everything we build at Headway as a product with end-users in mind.
• Optimize for trust: We believe that engineers should be continually learning. To learn effectively and to be productive, engineers must feel safe asking questions and discussing mistakes.

Tools we use:

• Languages: Python 3, TypeScript
• Libraries & Frameworks: FastAPI, SQLAlchemy, React, Remix, Next.js
• Datastores: Postgres, Redis
• Infrastructure: AWS (Fargate, ECS, S3, and more), Spark and Kafka
• Monitoring: Datadog, PagerDuty, Sentry
• Version Control: Github, PagerDuty
• Vulnerability Management: Snyk, Semgrep
• Cloud Security: Lacework

About these roles

At Headway, we’re building a national network of therapists who accept insurance — and making mental healthcare radically more accessible in the process. Supporting providers isn’t just about connecting them with patients — it’s about delivering the tools they need to manage their practice with ease, confidence, and compliance.

Our providers are the heart of Headway’s mission — and empowering them with an easy-to-use platform is critical to both their success and the quality of care patients receive. Whether it’s saving providers time, simplifying documentation, or ensuring compliance, this role is at the center of our providers’ lives. As an engineering leader at Headway, you will be responsible for leading and growing the engineering pods behind our provider experiences through people development, strategic planning, and hands-on technical support or guidance. You get to play a leading role in defining what and how these teams build, setting up how the teams operate, support, and ultimately drive best-in-class user experiences that have a measurable impact on our ability to execute and meet the demands of a high growth startup. 

We are hiring for 3 Engineering Managers within the Provider group -

Group Practices EM: Group Practices represents a substantial portion of our provider network and have specific needs to run their practice. This team is responsible for continuing to grow the Group Practices segment and enabling group practice providers and their administrative staff to operate efficiently on Headway.

CHART EM: Responsible for ensuring providers have the tools they need to efficiently document their clinical care. From AI-supported clinical documentation features, to tools for psychiatrists to manage their patient's medications, this team is streamlining the way therapists record their care.

Practice Foundations EM: We are evolving how we support a highly diverse provider network. Providers work in very different ways, and this team is responsible for building differentiated experiences that meet providers where they are, while also encouraging high-quality care and strong engagement with the Headway platform

Who you are

We’re looking for experienced engineering team leaders and people managers who are product-minded, data-informed, and energized by growth. As an Engineering Manager at Headway, you will work closely with Engineering Leadership, Product, Marketing, RevOps, and Design to shape the future of our provider acquisition strategy. This is an exciting opportunity for a passionate, mission-aligned engineering leader to make an immediate impact at a high-growth company.

• Lead and manage an engineering team focused on provider acquisition and growth (starting with 2–3 engineers and scaling over time)
• Partner closely with cross-functional stakeholders to build systems that enable rapid experimentation and long-term scale
• Collaborate with the Onboarding team to ensure a seamless end-to-end provider experience from first touch to first appointment
• Drive alignment across your team on process, prioritization, and product outcomes
• Develop and grow your team through weekly 1-1s, mentorship, and feedback
• Work with and help develop aspiring engineering leaders within the engineering team
• Contribute to the broader company strategy and product roadmap

Below are additional experiences we think help engineering managers succeed at Headway:

• You have 3+ years of experience as an experienced Engineering Manager
• You have 3-5+ years of experience as a Software Engineer
• You’re energized by experimentation and growth — and can balance short-term learning with long-term scale
• You have a strong product mindset and have built strong cross-functional relationships that drive optimal user experiences and build trust with users
• You have a strong technical foundation that allows you to ensure your team is making appropriate technical decisions
• You have a track record of building and leading high performing teams that have effectively delivered business outcomes through technical investments
• You have a track record of working well across teams and functions
• Nice to have: Prior experience with Python and React and working with AWS infrastructure
• Nice to have: Experience in health tech, building user-facing products
• BS, MS in Computer Science or related field

Our interview process

After you apply to Headway, here are some details of what to expect during the interview process.

• Initial screen: You’ll connect with someone in recruiting so you can learn more about the team, Headway’s mission and exciting growth, and we can get a better idea of your background. 
• First rounds: You'll meet with an engineering leader on the team to go deeper into your team and people leadership experiences and complete one technical (systems design) interview.
• Final rounds: You’ll meet team members across product and engineering leadership for multiple behavioral interviews, leaving you with a fuller picture of what it’s like to work at Headway.
• References and the Offer: Our favorite part of the process! We'll send over all of the details, including specifics on employee equity, and congratulatory messages from excited future team members!

Compensation and Benefits:

The expected base pay range for this position is $190,000 - $237,500, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.

We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.

Benefits offered include:

• Equity Compensation
• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home Stipend
• Therapy Reimbursement
• 16-week parental leave for eligible employees
• Carrot Fertility annual reimbursement and membership
• 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
• Flexible PTO
• Employee Assistance Program (EAP)
• Training and professional development

About Engineering at Headway

Building a new mental healthcare system at Headway is only possible because of the scale and leverage that software can provide. The engineering team at Headway is a small (~120) but mighty team using technology to build that future (and have a fun time while doing it!).

Principles that guide us:

• Focus on the mission: We view software as a means of effecting change in the world, not as an end unto itself. We write software to empower our patients and therapist to better solve the problems they’re facing. 
• Ship small, learn fast: We are building new and novel products and believe that we learn what our users need by quickly shipping and iteration
• Everything is a product: Whether it's our patient search experience or a developer productivity improvement, we treat everything we build at Headway as a product with end-users in mind.
• Optimize for trust: We believe that engineers should be continually learning. To learn effectively and to be productive, engineers must feel safe asking questions and discussing mistakes.

Tools we use:

• Languages: Python 3, TypeScript
• Libraries & Frameworks: FastAPI, SQLAlchemy, React, Remix, Next.js
• Datastores: Postgres, Redis
• Infrastructure: AWS (Fargate, ECS, S3, and more), Spark and Kafka
• Monitoring: Datadog, PagerDuty, Sentry
• Version Control: Github, PagerDuty
• Vulnerability Management: Snyk, Semgrep
• Cloud Security: Lacework

About this role

This role sits at the intersection of growth, product development, and marketing. You’ll have the freedom to innovate and experiment while collaborating with a diverse group of cross-functional partners from across the company. This is an opportunity to tackle complex, rewarding problems in a highly collaborative, supportive environment that values technical excellence and operational rigor. You’ll build systems that help patients discover and access mental health care, directly improving lives and transforming the healthcare landscape. Your work in this role will shape how thousands of patients connect with care, making a lasting impact on Headway’s mission to reimagine mental healthcare access for all.

As an engineering leader at Headway, you will be responsible for leading and growing the team behind these core growth initiatives through people development, strategic planning, and hands-on technical support. You’ll play a leading role in defining what and how these systems are built, setting up how the team operates, and ultimately driving best-in-class experiences that convert interest into action.

This is a critical leadership role for Headway and our mission to make mental healthcare more accessible. 

Provider Growth Pod

Supporting providers isn't just about connecting them with patients — it starts much earlier, with helping them discover Headway and understand the value we provide. Our providers are at the heart of Headway's mission — and enabling more of them to join our platform is critical to expanding access to care. This role is focused on building the tools, systems, and experiences that help providers learn about Headway, express interest, and begin their journey. From our referral engine and marketing web experiences to lead capture and routing infrastructure, you'll be responsible for the end-to-end technical foundation that drives provider acquisition. By helping more providers discover, trust, and join Headway, you'll directly impact both provider supply and patient access.

Who you are

We're looking for experienced engineering team leaders and people managers who are product-minded, data-informed, and energized by growth. As an Engineering Manager at Headway, you will work closely with Engineering Leadership, Product, Marketing, Design, Data, and RevOps to shape the future of our growth strategy. This is an exciting opportunity for a passionate, mission-aligned engineering leader to make an immediate impact at a high-growth company.

Responsibilities:

• Lead and manage an engineering team focused on growth
• Partner closely with cross-functional stakeholders to build systems that enable rapid experimentation and long-term scale
• Partner closely with Product, Design, Marketing, Data to rapidly iterate through A/B testing
• Collaborate with activation and onboarding teams to ensure a seamless end-to-end user experience from first touch to first appointment
• Drive alignment across your team on process, prioritization, and product outcomes
• Develop and grow your team through weekly 1-1s, mentorship, and feedback
• Work with and help develop aspiring engineering leaders within the engineering team
• Contribute to the broader company strategy and product roadmap
• Help build out our engineering team as our headcount grows from 120 to 175+ through the remainder of the year

Below are additional experiences we think help engineering managers succeed at Headway:

• You have 3+ years of experience as an Engineering Manager at a high-growth startup or scale-up, building and leading high performing teams that have effectively delivered business outcomes through technical investments
• You have 5+ years of experience as a Software Engineer
• You're energized by experimentation and growth — and can balance short-term learning with long-term scale
• You have a strong product mindset and have built strong cross-functional relationships that drive optimal user experiences and build trust with users
• You have a strong technical foundation that allows you to ensure your team is making appropriate technical decisions
• You are flexible and adaptable; you understand that the best growth teams must learn and iterate quickly, and that growth roadmaps are dynamic as a result
• Nice to have: Prior experience with SEO and paid advertising
• Nice to have: Prior experience with Python and React and working with AWS infrastructure
• Nice to have: Experience in health tech, building user-facing products
• BS, MS in Computer Science or related field

Our interview process

After you apply to Headway, here are some details of what to expect during the interview process.

• Initial screen: You’ll connect with someone in recruiting so you can learn more about the team, Headway’s mission and exciting growth, and we can get a better idea of your background. 
• First rounds: You'll meet with an engineering leader on the team to go deeper into your team and people leadership experiences and complete one technical (systems design) interview.
• Final rounds: You’ll meet team members across product and engineering leadership for multiple behavioral interviews, leaving you with a fuller picture of what it’s like to work at Headway.
• References and the Offer: Our favorite part of the process! We'll send over all of the details, including specifics on employee equity, and congratulatory messages from excited future team members!

Compensation and Benefits:

The expected base pay range for this position is $190,000 - $237,500, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.

We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.

• Benefits offered include:
• Equity compensation
• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home Stipend
• Therapy Reimbursement
• 16-week parental leave for eligible employees
• Carrot Fertility annual reimbursement and membership
• 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
• Flexible PTO
• Employee Assistance Program (EAP)
• Training and professional development

About

Edison Scientific builds and commercializes AI agents for science. Scientific discovery moves too slowly, and autonomous AI agents are how we intend to fix that. We're assembling a team of top researchers and engineers across AI and biology to build an AI scientist.

Role

As a Principal Full-Stack Engineer (Backend-Focused) you’ll play a key role in shaping and scaling our core platform that automates scientific discovery. You’ll work across the stack, with a strong emphasis on backend systems- designing and evolving services, APIs, data pipelines, and infrastructure- while also contributing to critical user-facing workflows.

Our mission is to build an AI scientist, and you’ll help define and build the tools, interfaces, and data systems it relies on. This role goes beyond implementation: you’ll influence architectural direction, establish engineering best practices, and partner closely with frontend engineers, designers, and researchers to deliver robust, end-to-end solutions.

At Edison Scientific, full-stack engineering at the senior level is about technical ownership and leverage- understanding how complex systems interact, making sound architectural tradeoffs, and building foundations that allow teams and science to move faster.

This role is on-site at our San Francisco office in the Dogpatch neighborhood. Our office is a converted warehouse with high ceilings, open space, and a team that genuinely believes in what they're building.

This position is part of the Platform team. 

Responsibilities

• Architect, design, implement, and maintain backend services, APIs, and databases that power the scientific discovery platform.
• Drive technical decisions across the stack, balancing scalability, reliability, security, and developer velocity.
• Lead the design and evolution of data pipelines supporting AI agents and research workflows.
• Contribute to and review frontend features and workflows, ensuring seamless integration with backend systems.
• Establish and uphold best practices around testing, monitoring, observability, and incident response.
• Troubleshoot complex, cross-system issues and guide others through effective debugging and remediation.
• Collaborate closely with engineering, design, and research teams to scope, plan, and ship new AI-driven capabilities.
• Mentor and support other engineers, raising the technical bar and fostering a strong engineering culture.
• Act as a trusted technical partner in a highly collaborative team working at the frontier of AI for science.

Qualifications

• 5+ years of professional software engineering experience, with significant experience across backend systems and full-stack development.
• Deep proficiency in one or more backend languages (e.g., Python, Node.js), with a strong track record of designing production systems.
• Extensive experience designing, building, and evolving APIs (FastAPI, REST; GraphQL a plus).
• Strong working knowledge of modern frontend frameworks (e.g., React, Next.js) and how frontend and backend systems interact at scale.
• Expertise with relational and/or document databases (PostgreSQL, MySQL, MongoDB, or similar), including schema design and performance considerations.
• Hands-on experience with cloud infrastructure (AWS, GCP, or Azure) and containerized environments (Docker; Kubernetes preferred).
• Proven experience building and maintaining CI/CD pipelines, automated testing strategies, and observability systems.
• Ability to operate autonomously, make sound technical judgments, and drive projects from concept through production.
• Strong communication skills and experience collaborating across disciplines in fast-moving environments.

Bonus points for

• Experience with data-intensive platforms, scientific computing, or ML/AI infrastructure.
• Prior experience in startups or small teams with significant architectural ownership and ambiguity.
• Experience scaling systems, teams, or platforms through periods of rapid growth.

Salary

$200,000- $350,000  •  Offers equity

Why join us?

• Competitive salary and equity
• Full healthcare coverage — we pay 100% of premiums for you and your dependents
• Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot
• 401(k) company matching
• $300 health and wellness benefit
• Lunch is on us every day you're in the office, and dinner is on us when you're working late
• Regular team offsites and company events
• A fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it

Senior Data Architect – Data Engineering

Location: San Francisco, CA
Reports To: VP of Engineering
FLSA Status: Exempt
Employment Type: Full-Time
Compensation: $140,000 – $160,000 annually (based on experience)

About Cargomatic

Cargomatic is transforming the local trucking industry with cutting-edge technology that connects shippers and carriers in real time. Every product that humans build, grow, or sell has spent time on a truck. Local trucking is the lifeblood of every regional economy, yet this $82 billion industry still relies heavily on outdated systems. Cargomatic is bringing transparency, efficiency, and intelligence to local freight through modern technology and data-driven solutions.

We are solving complex, real-world logistics problems every day. If you thrive in a fast-paced environment, enjoy building scalable systems, and want to help shape the future of AI-powered logistics, we’d love to meet you.

Position Summary

Cargomatic is seeking a Senior Data Architect – Data Engineering to design and build scalable, cloud-native data infrastructure that powers analytics, machine learning, and AI-driven applications. This role combines deep data architecture expertise with hands-on experience in modern data platforms and LLM-enabled application development.

You will lead the design of enterprise-grade data models, architect RAG systems, implement agentic workflows, and integrate secure, production-ready LLM capabilities into our ecosystem. This is a high-impact role with significant ownership, visibility, and opportunity to shape the future of intelligent logistics technology.

Key Responsibilities

Data Architecture & Engineering

• Design and build scalable, cloud-native data pipelines (batch and streaming) supporting analytics, ML, and AI-powered applications

• Architect enterprise-grade data models across data lakes, warehouses, and real-time systems (Snowflake, Databricks, Kafka, DBT)

• Define standards for data governance, reliability, performance, and cost optimization

• Optimize storage formats and distributed data systems (Parquet, Delta Lake, Iceberg)

AI & LLM-Enabled Systems

• Develop Retrieval-Augmented Generation (RAG) systems integrating structured and unstructured enterprise data

• Design and implement agentic workflows using frameworks such as LangChain, LangGraph, LlamaIndex, n8n, or similar

• Integrate LLM APIs (OpenAI, Anthropic, or similar) into secure, production-ready applications

• Implement guardrails, validation layers, monitoring, and evaluation frameworks to mitigate hallucination, prompt injection, and data security risks

Backend & API Development

• Build secure backend APIs (Python/FastAPI) to expose AI-powered capabilities

• Ensure observability, monitoring, and cost controls across AI and data services

• Contribute to microservices architecture and distributed system design

Collaboration & Leadership

• Partner cross-functionally with Product, Engineering, and Operations to translate business requirements into scalable technical solutions

• Mentor junior engineers and contribute to architectural standards and best practices

• Drive innovation in data engineering and AI-powered logistics systems

Qualifications

• Bachelor’s degree in Computer Science or equivalent practical experience

• 8+ years of software or data engineering experience in production environments

• Strong expertise in data modeling, distributed systems, and scalable cloud architectures

• Hands-on experience with ETL/ELT frameworks and streaming technologies (Kafka, Spark, HEVO, Snowflake, DBT, etc.)

• Advanced SQL skills and deep understanding of modern storage formats

• Proficiency in Python and RESTful API development

• Experience integrating LLM APIs into production applications

• Strong understanding of system reliability, observability, and cost management in cloud environments

Desired Experience

• Experience building RAG pipelines including embeddings, vector search, chunking strategies, and hybrid retrieval

• Experience designing multi-agent or agentic AI workflows with orchestration frameworks

• Knowledge of LLM evaluation, monitoring, and tracing tools (LangSmith or similar)

• Experience with microservices architecture and distributed system design

• Exposure to transportation, logistics, or supply chain domains

• Active GitHub contributions or demonstrated passion for emerging AI and data technologies

Why Join Cargomatic?

We offer competitive compensation and a comprehensive benefits package, including:

• Medical, Dental, and Vision insurance

• 401(k) with company match

• Flexible Spending Accounts (FSA)

• Company-paid Life and Disability insurance

• Flexible Paid Time Off (PTO) and company holidays

• Paid Parental Leave

• Employee Assistance Program (EAP)

• Opportunity to build cutting-edge AI solutions in a high-growth logistics technology company

• Collaborative, high-impact team environment

Cargomatic is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all employees feel valued and empowered to succeed.

The Opportunity at Altana

The Engineering team is responsible for building out the platforms, API’s, services, workflows, and logical architectures for bringing this vision to life.  We are creating a platform fundamentally driven by AI, which scales to a massive trove of data, and a diverse customer base; it is a complex system that will stretch engineering in many directions.  You’ll work closely with our Data Scientists on projects to analyze and observe world-scale datasets, write code that can scale to produce never-before-seen insights, and construct APIs to deliver our product vision.

Your Responsibilities 

• Ingest product requirements, define technical requirements, and design practical, iterative technology designs that achieve our product and technical goals.
• Work with your product manager to develop implementation plans against our technical product roadmaps.
• Personally maintain, develop, and deploy our customer facing workflows to create and  support our overall product architecture.
• Analyze and propose technical solutions to invent, enable, and enhance our product offerings.
• Be responsible for automating, testing, and deploying your own and your team’s work.
• Review the code and technical designs authored by your team members, and hold a high bar for quality.
• Mentor developers and help them level up their skills.
• Be responsible for the technical excellence of day-to-day work of a team of engineers and ensure that the team’s deliverables are maturing along the defined roadmap.
• Drive technical decision-making and problem-solving across the team, ensuring solutions are efficient, scalable, and maintainable.
• Identify technical and operational gaps for the team and create plans and work items to address them.
• Serve as the domain expert for a portion of the product surface area, while holding a firm technical understanding for other areas as well.
• Cooperate with team leads and managers in order to keep the team focused on outcomes while delivering sustainable and consistent code.

About You

• BS or MS degree in Computer Science, or equivalent experience.
• 12+ years of real-world professional experience writing back end or data-driven software in demanding environments.
• You’ve deployed production code and services to cloud-hosted environments.
• You have demonstrated experience delivering incremental releases from proof-of-concept to MVP to production.
• Self-starter with demonstrated experience working on large, complex problems.
• You care deeply about engineering excellence, clean code, and knowledge-sharing.
• You have experience with taking over codebases and making them your own, carrying forward with new feature development.
• You are a master of prioritizing and picking your area of focus intentionally
• You have strong written and verbal communication skills.
• Experience leading other engineers on complex projects.

Nice to have, but not required

• Experience with container technologies like Docker and Kubernetes
• Experience using workflow orchestration technologies like Temporal

 Technologies we love to use at Altana

• Languages: Python, TypeScript, SQL
• Tools: Docker, Git, Kubernetes, FastAPI, AWS/Azure, MLFlow, Temporal
• Datastores: Postgres, Databricks and OpenSearch

This role can fully remote or it can be based in any of our Altana hub locations, with hybrid work flexibility: New York City, Boston, MA, Washington D.C., San Francisco, CA, 

US Salary Range and Benefits

$225,000 - $265,000 USD

The salary range, to the extent specified for this role, is a good faith statement of the minimum and maximum levels of the annual based salary for the position.  The base salary offered to a successful candidate will depend on a wide range of compensation factors, including, but not limited to, work experience, education and/or training, critical skills, and/or business considerations. Competitive equity grants are included in the majority of full time offers; and are considered part of Altana's total compensation package. Altana also offers either a discretionary bonus or a variable compensation plan depending on the role. Additionally, Altana offers top-tier benefits for full-time employees, including:

• Flexible Time Off: Altana operates with a Flexible Time Off (FTO) policy that gives you agency over your own time off so you can maximize your work-life balance.
• Parental Leave: We offer industry leading Paid Parental Leave (PPL), providing 14 weeks of leave for non-birthing, adoptive, and foster parents and up to 26 weeks of leave for birthing parents, all paid at 100% of your base salary.
• Health Benefits: We have a full suite of medical, vision, and dental benefits with generous employer contributions, designed to give you flexibility and choice for your individual health situation. Our high deductible health plan is 100% employer paid for employees and supplemented with an employer contribution to your Health Savings Account (HSA). There is also a Flexible Spending Account (FSA) option.
• Supplemental Benefits: Altana provides life, short- and long-term disability, and AD&D insurance coverage, all at no cost to you, so you know that you and your loved ones are covered in case of an emergency.
• 401(k) Savings: Save for and invest in your future using our Guideline 401(k) retirement savings program.
• Commuter Benefits: Save money on your commute by setting aside pre-tax funds for public transit or parking!
• Wellness: Because we value mental and emotional health, every Altana employee has access to a free premium subscription to Calm, the #1 app for meditation, sleep, and mindfulness.
• Pet Insurance: Pets are family too! Keep them healthy with Wishbone insurance and / or our Total Pet vet service and telehealth discount plan.
• Employee Assistance Program: Free access to confidential personal support.
• Dependent Care FSA: You will have access to a Dependent Care FSA, which allows you to set aside pre-tax funds for childcare expenses

The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

ABOUT ROCKET MONEY 🔮

Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM 📋

The Credit Products team helps clients improve their readiness for homeownership, through a collaboration between Rocket Money and Rocket Mortgage. We build technology and solutions that empower both our clients, and the internal teams who work directly with them. Some of the key products we support include:

• User-facing public web applications and CRM for clients interested in home ownership.
• Internal tools to improve the efficiency of licensed mortgage bankers and consultants.
• Data pipelines for receiving, enriching, and operationalizing data across the company.

Our platform is a bit over a year old, and much of our work is greenfield development on applications we’ve built as a small team. At the same time, we interact extensively with existing systems within our larger parent organization. As a result, our days are usually a healthy mix of deep, focused development, alongside collaboration with teams across the company.

A (non-exhaustive) list of a few technologies we work with frequently include: Python, FastAPI, UV, Kafka, Confluent, React, TypeScript, TanStack, C#, .Net, Postgres, Docker, Kubernetes, Terraform, SalesForce, AWS, and GitHub Actions.

ABOUT YOU 🤹‍♀️

We’re looking for experienced, full-stack software engineers to own the lifecycle of turning our team’s ideas and needs into reality. Ideally, you have deep familiarity with our tools and tech stack so you can hit the ground running. Even more importantly, you’re an adaptable learner who’s driven by growth—both your own, and that of the organization. You’ll be a great fit if you:

• Have 7+ years of experience in relevant software engineering projects.
• Have an entrepreneurial spirit, and are excited to use your technical skills to positively impact business outcomes.
• Write clean, reliable code across a variety of platforms.
• Have significant professional experience working with one or more of the following: Python, React (or similar frontend framework), Postgres (or a similar relational database).
• Are naturally collaborative, curious, and communicative, and enjoy ideating with product, marketing, and other engineering teams as much as you love writing code.
• Are motivated by our mission to help people improve their financial lives, and achieve homeownership.

WE OFFER 💫

• Health, Dental & Vision Plans
• Life Insurance
• Long/Short Term Disability
• Competitive Pay
• 401k Matching
• Team Member Stock Purchasing Program (TMSPP)
• Learning & Development Opportunities
• Tuition Reimbursement
• Unlimited PTO
• Daily Lunch, Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional Information: Salary range of $150,000 - $185,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

The ideal candidate is local to and interested in working from any of our offices (Silver Spring, NYC, SF, Miami, Denver) 1-2x per week.

ABOUT ROCKET MONEY 🔮

Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM 📋

The Rocket Ready team helps clients improve their readiness for homeownership, through a collaboration between Rocket Money and Rocket Mortgage. We build technology and solutions that empower both our clients, and the internal teams who work directly with them. Some of the key products we support include:

• User-facing public web applications and CRM for clients interested in home ownership.
• Internal tools to improve the efficiency of licensed mortgage bankers and consultants.
• Data pipelines for receiving, enriching, and operationalizing data across the company.

Our platform is a bit over a year old, and much of our work is greenfield development on applications we’ve built as a small team. At the same time, we interact extensively with existing systems within our larger parent organization. As a result, our days are usually a healthy mix of deep, focused development, alongside collaboration with teams across the company.

A (non-exhaustive) list of a few technologies we work with frequently include: Python, FastAPI, UV, Kafka, Confluent, React, TypeScript, TanStack, C#, .Net, Postgres, Docker, Kubernetes, Terraform, SalesForce, AWS, and GitHub Actions.

ABOUT YOU 🤹‍♀️

We’re looking for experienced, full-stack software engineers to own the lifecycle of turning our team’s ideas and needs into reality. Ideally, you have deep familiarity with our tools and tech stack so you can hit the ground running. Even more importantly, you’re an adaptable learner who’s driven by growth—both your own, and that of the organization. You’ll be a great fit if you:

• Have 7+ years of experience in relevant software engineering projects.
• Have an entrepreneurial spirit, and are excited to use your technical skills to positively impact business outcomes.
• Write clean, reliable code across a variety of platforms.
• Have significant professional experience working with one or more of the following: Python, React (or similar frontend framework), Postgres (or a similar relational database).
• Are naturally collaborative, curious, and communicative, and enjoy ideating with product, marketing, and other engineering teams as much as you love writing code.
• Are motivated by our mission to help people improve their financial lives, and achieve homeownership.

WE OFFER 💫

• Health, Dental & Vision Plans
• Life Insurance
• Long/Short Term Disability
• Competitive Pay
• 401k Matching
• Team Member Stock Purchasing Program (TMSPP)
• Learning & Development Opportunities
• Tuition Reimbursement
• Unlimited PTO
• Daily Lunch, Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional Information: Salary range of $150,000 - $185,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Headway’s mission is a big one – to build a new mental health care system everyone can access. We’ve built technology that helps people find great therapists with the first software-enabled national network of providers accepting insurance. 

1 in 4 people in the US have a treatable mental health condition, but the majority of providers don’t accept insurance, making therapy too expensive for most people. Headway is building a new mental healthcare system that everyone can access by making it easy for therapists to accept insurance and scale their practice. 

Headway was founded in 2019. Since then, we’ve grown into a diverse, national network of over 60,000 mental healthcare providers across all 50 states who run their practice on our software and have served over 1 million patients. We’re a Series D company with over $325m in funding from a16z (Andreessen Horowitz), Accel, GV (formerly Google Ventures), Spark Capital, Thrive Capital, Forerunner Ventures and Health Care Service Corporation.

We want your time here to be the most meaningful experience of your career. Join us, and help change mental healthcare for the better.

About the role

The Trust team at Headway is focused on security and privacy for all of Headway’s customers - therapists, patients, and payers (ex: insurance companies and health systems). As an early member on the team, you’ll have the unique opportunity to be the builder and driver of our dedicated, in-house product and application security engineering efforts. In this role, you will partner closely with our product and engineering teams to ensure that our application is designed and developed securely so that we can maintain and grow customers’ trust in Headway. 

What you’ll do at Headway:

• Partner with Product and Engineering: Headway has many new product launches on the horizon that will transform the industry and have a rich data component. You will be a partner at both the design and development stage to ensure that we implement new features securely, including (but not limited to): 
• Participating in the implementation efforts
• Doing security reviews
• Helping with product design decisions
• Auditing and surfacing vulnerabilities in our current products 
• Develop and Improve our Automated Tooling: Further enhance our automated tooling to scale our application security capabilities and find potential code problems both before and after we deploy.
• Make the safe way, the easy way: Work on defining and building application guardrails so that developers can build securely by default. You also will work to instill a culture of secure development across engineering. 
• Assist in ongoing security operations: You will be part of the security and privacy team and have responsibilities to assist in incident response, vulnerability management, penetration testing, security reviews, and other operational tasks to ensure that our security program is operating at a world-class level.

Tools we use:

• Cloud Security: Lacework
• Languages: Python 3, TypeScript
• Libraries: FastAPI, SQLAlchemy, React
• Datastores: Postgres, Redis
• Infrastructure: AWS (Fargate, ECS, S3, and more), Spark and Kafka
• Monitoring: Datadog, PagerDuty
• Version Control: Github
• Vulnerability Management: Snyk, Semgrep

You’ll be great for this role if you have:

• Have 0 → 1 security experience: You have 5+ years experience in security and/or software engineering roles with a demonstrated history of working on security-related projects or with responsibilities as a security generalist.
• Strong cross-functional experience: You love partnering with other teams to help both teams achieve their goals.
• Strong technical depth and breadth: You have technical experience with building secure platforms and products at a deep level. You are excited to perform security design and code reviews. You want to understand security systems and improve their efficiency and scalability. 
• Thrive in ambiguity: You love tackling ambiguous problems in a fast-paced environment with an optimistic and energizing attitude.
• Innovation at Scale: You seek opportunities to lead the industry in implementing the latest security and privacy technologies.
• Results driven: You care deeply about creating impact and driving results for Headway’s business.
• Mission driven: You are motivated by Headway’s mission, increasing access to high quality mental health care.

Our interview process

After you apply to Headway, here are some details of what to expect during the interview process.

• Initial screen: You’ll connect with someone in recruiting so you can learn more about the team, Headway’s mission and exciting growth, and we can get a better idea of your background. 
• First round: You'll meet with a member of our Security Engineering team for introductions and an architecture interview. Conducted similarly to a System Design interview, we’ll learn more about your knowledge of the role of security in engineering systems and web architecture.  
• Final rounds: You’ll meet several more team members for technical and non-technical interviews, including our CISO who this role reports to, and leave with a fuller picture of what it’s like to work at Headway.
• References and the Offer: Our favorite part of the process! We'll send over all of the details, including specifics on employee equity, and congratulatory messages from excited future team members!

Compensation & Benefits:

The expected base pay range for this position is $218,500 - $273,125, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.

We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.

• Benefits offered include:
• Equity compensation
• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home Stipend
• Therapy Reimbursement
• 16-week parental leave for eligible employees
• Carrot Fertility annual reimbursement and membership
• 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
• Flexible PTO
• Employee Assistance Program (EAP)
• Training and professional development

#LI-SC1

About the Role

We’re looking for a Software Engineer (DevOps) to help design, build, and maintain the systems that keep our platform fast, reliable, and secure. This is a hands-on engineering role for someone who loves infrastructure, automation, and high-leverage backend work. You’ll work across backend services, CI/CD, and cloud architecture — enabling the entire engineering team to ship confidently and often. You’ll collaborate closely with backend and frontend engineers, owning our deployment pipelines, AWS environments, and infrastructure-as-code. The ideal candidate thrives in startup environments — solving problems pragmatically, balancing speed and reliability, and continuously improving tooling and processes.

Key Responsibilities

Infrastructure & DevOps

• Own and evolve our CI/CD pipelines to ensure smooth, fast, and reliable deployments.
• Manage and optimize our AWS environment (ECS, EC2, Lambda, S3, CloudFormation, CloudWatch, etc.), and abstract to multi-cloud environments such as GCP and Azure.
• Build reproducible, scalable infrastructure using Terraform and other IaC tools.
• Containerize and orchestrate applications using Docker and Kubernetes.
• Improve monitoring, logging, and observability for all production systems.
• Partner with backend engineers to automate testing, staging, and release workflows.

Backend & Service Development

• Contribute to backend services written in Python (FastAPI) with SQLAlchemy and PostgreSQL.
• Write and maintain test suites and deployment scripts that keep systems stable and predictable.
• Help design and build APIs and integrations that connect infrastructure to product functionality.
• Support the team in diagnosing and resolving performance or reliability issues across environments.

Collaboration & Process

• Work cross-functionally with product, backend, and frontend teams to deliver secure, reliable releases.
• Operate effectively in a fast-paced, async environment — communicate clearly and prioritize well.
• Contribute to technical documentation and help define standards for DevOps and deployment practices.

Qualifications

Required

• 5+ years of professional software engineering experience, with significant DevOps ownership.
• Deep experience with AWS primitives and cloud architecture.
• Strong expertise with CI/CD systems (GitHub Actions, CircleCI, or similar).
• Skilled with Docker, Kubernetes, and containerized application deployment.
• Experience with Terraform or other infrastructure-as-code frameworks.
• Strong background in Python, FastAPI, and SQL-based data layers.
• Proven ability to automate and streamline development and release workflows.
• Experience with VPNs (Tailscale, or similar).

Preferred

• Experience with Kubernetes, GCP, or Azure.
• Familiarity with monitoring tools (Grafana, Prometheus, Datadog, or similar).

Why Join

You’ll own high-leverage infrastructure and have direct impact on how quickly and confidently the entire team ships. If you enjoy working in a collaborative, high-velocity environment and want to shape the backbone of a fast-growing AI startup — this is the place.

About Navier AI

Navier AI is building the first autonomous engineering agents. AI systems that can design, simulate, and optimize complex products to achieve breakthrough levels of performance. Our mission is to enable engineers to move beyond today’s slow, manual design cycles by providing agents that reason about physics, explore design trade-offs, and generate high-performance solutions across aerospace, automotive, and advanced manufacturing.

We’re backed by top-tier investors and work directly with industry leaders to deploy AI-native tools that go far beyond today’s design automation.

Role Overview

We’re hiring a Full Stack Engineer to build the interactive interfaces and backend services that power our autonomous engineering agents. You’ll be responsible for creating seamless user experiences that let engineers visualize complex geometry, interact with AI agents, and manage design workflows—all while collaborating closely with ML, backend, and simulation teams.

Responsibilities

• Build interactive web applications using TypeScript, React, and Three.js to visualize CAD models, simulation results, and agent outputs
• Develop backend services in Python to power workflows, handle model inference requests, and manage user data
• Design intuitive UIs and workflows that make AI-powered engineering agents accessible and useful to domain experts
• Implement real-time rendering and 3D visualization pipelines for CAD, meshes, and simulation outputs
• Collaborate with ML and backend engineers to connect front-end tools with AI models and simulation infrastructure
• Ensure application performance and scalability through robust state management, API design, and efficient data handling
• Participate in architecture discussions and help define best practices for frontend + backend integration
• Own features end-to-end, from design to deployment, in a fast-paced startup environment
  
  

Qualifications

Required

• Strong proficiency in TypeScript and React
• Experience building 3D interactive experiences with Three.js or similar frameworks
• Solid backend development experience in Python (FastAPI, Flask, or Django preferred)
• Familiarity with API design, authentication, and data handling best practices
• Ability to work across the stack and own features from frontend to backend
• Comfort working with scientific/engineering data formats (e.g., meshes, STL, point clouds)
• Strong product intuition and ability to collaborate closely with designers and engineers

Bonus

• Experience with CAD visualization, computational geometry, or simulation tools
• Knowledge of WebGL or shader programming (GLSL, WGSL)
• Experience integrating ML model inference into production apps
• Familiarity with containerization (Docker) and cloud deployment (AWS, GCP, or Azure)
• Prior work in engineering-focused or scientific software companies

Why This Role Matters

The interfaces you build will be the primary way engineers interact with Navier’s autonomous agents. You’ll shape how complex geometry, simulation results, and AI-driven design decisions are visualized and explored. Your work will directly impact the usability, adoption, and trustworthiness of a category-defining product.

What We Offer

• Competitive compensation, including salary and equity
• Direct exposure to high-impact technical problems in aerospace, automotive, and advanced manufacturing
• Opportunity to help define a new category of engineering software

About Navier AI

Navier AI is building the first autonomous engineering agents. AI systems that can design, simulate, and optimize complex products to achieve breakthrough levels of performance. Our mission is to enable engineers to move beyond today’s slow, manual design cycles by providing agents that reason about physics, explore design trade-offs, and generate high-performance solutions across aerospace, automotive, and advanced manufacturing.

We’re backed by top-tier investors and work directly with industry leaders to deploy AI-native tools that go far beyond today’s design automation.

Role Overview

We’re hiring a Backend Engineer to help build the infrastructure behind our autonomous engineering agents. You’ll work across model serving, simulation orchestration, multi-agent coordination, and developer-facing APIs. This role is critical to delivering fast, reliable, and scalable systems that engineers can trust in production design environments.

Responsibilities

• Own core backend systems for serving AI agents and managing their compute, data, and model coordination
• Design and implement APIs that expose agent functionality—simulation control, CAD operations, optimization workflows—to internal tools and customer integrations
• Build secure, scalable infrastructure for multi-agent orchestration, including support for containerized workloads, caching, and distributed compute
• Collaborate closely with ML, frontend, and simulation engineers to create a cohesive, performant product experience
• Integrate external tools such as CAD software, simulation backends (e.g., OpenFOAM), and data stores into our pipeline
• Support agent development workflows, including tooling for versioning, introspection, and reproducibility
• Contribute to infrastructure decisions that will shape the technical foundation of our platform as it scales
• Engage directly with early customers to support integration, identify infrastructure needs, and gather feedback

Qualifications

Required:

• Strong backend engineering skills in Python or similar languages
• Experience designing and maintaining production APIs
• Familiarity with containerized development and deployment (e.g., Docker, Kubernetes)
• Comfort building infrastructure that supports AI/ML systems or computational workflows
• Strong systems thinking and ability to reason across compute, data, and model interactions
• Experience in fast-paced environments where end-to-end ownership is expected
• Excellent communication and collaboration skills
  
  

Preferred:

• Expertise in FastAPI
• Experience integrating with scientific software (e.g., CAD, FEA, CFD tools)
• Exposure to agent frameworks, workflow orchestration, or distributed systems
• Familiarity with model serving (e.g., TorchServe, Triton) or simulation backends
• Interest in physics, geometry, or real-world engineering applications
• Prior experience building developer tools or working in high-trust customer-facing roles

Why This Role Matters

We’re not just building software—we’re building the future of engineering itself. As a backend engineer at Navier, you’ll architect the systems that allow our AI agents to reason, simulate, and design like expert engineers. Your work will directly impact how rockets, cars, aircraft, and next-gen hardware are conceived and built.

What We Offer

• Competitive compensation, including salary and equity
• Direct exposure to high-impact technical problems in aerospace, automotive, and advanced manufacturing
• Opportunity to help define a new category of engineering software