Senior Software Engineer, Energy Storage

This position is on a team building the software platform that powers optimized control and market participation of battery energy storage systems (BESS) — software that runs both on site controllers and in the cloud. Our scope spans the full stack: compute infrastructure, telemetry, asset modeling, alerting, feature ingestion and storage for forecasting and optimization, simulation and operational control orchestration, and integration with energy markets. We're a lean team that holds ourselves to high standards in both the quality of what we build and the speed at which we build it. We value collaboration, trust, learning, and engineering excellence, and we genuinely enjoy building great things together.

Responsibilities will include:

• Contribute to BESS data engineering — building and maintaining telemetry pipelines and stores, and feature ingestion and storage systems for forecasting and optimization
• Design, build, and maintain simulation and training infrastructure — platforms for running and orchestrating simulations at scale
• Develop and operate real-time forecast and optimization workflows, orchestrating pipelines that drive BESS operations
• Support energy market integration, including data ingestion and bid management
• Collaborate across the full stack and across team boundaries to ensure the product system works well as a whole
• Write well-tested, well-monitored software and iteratively improve it over time
• Apply AI tools to accelerate development while maintaining high system design quality and code standards

Desired Qualifications: 

• Strong software design instincts — thinks in systems, reasons from first principles, and understands the real-world challenges of building available, reliable, scalable, and secure distributed systems
• Comfortable using AI tools to move faster without letting them erode system design or code quality
• Excellent collaborator — communicates clearly, listens well, and makes the people around them better
• Bias toward action — takes initiative, makes progress in ambiguous situations, and doesn't wait for perfect information
• Systems thinker and owner — willing to think and collaborate across team boundaries to make sure the product works well as a whole
• Rigorous about quality — writes well-tested, well-monitored software and iterates on it over time
• B.S. or advanced degree in Software Engineering, Computer Science, or another discipline, combined with 2-5 years of experience in software engineering.
• Experience with relevant technologies a plus: Kubernetes, Rust, Python, NATS, PostgreSQL/TimescaleDB, SQLite
• A passion for sustainability and making the world a better place! 

We’re seeking an engineer to work on the  billing and revenue platform that powers Glean’s consumption-based pricing for our AI products. As an engineer, you’ll work on deep technical problems and own critical parts of our billing stack end to end. You’ll work closely with Product, Finance, Data, and Go-To-Market to ensure every AI feature we ship is accurately metered, transparently billed, and margin-positive. At the same time, you’ll help design powerful, elegant abstractions that make it easy and safe for product teams to integrate with billing—from logging usage to surfacing billing insights in the admin console.

You will:

• Work hands-on to design and implement systems for usage metering, pricing logic, credits, and admin-facing billing dashboards.
• Drive the evolution of our consumption / Flex pricing infrastructure in a fast-paced environment, with a high bar for correctness, reliability, and debuggability.
• Partner with Finance, Pricing, RevOps, and Product to translate pricing strategy into robust technical designs and workflows.
• Define and maintain guardrails for LLM and agent costs (e.g., limits, anomaly detection, margin monitoring) so product teams can ship AI features confidently.
• Raise the bar for engineering quality through design reviews and code reviews.

About you:

• 2+ years of industry software engineering experience
• Experience building backend systems and web interfaces, including frontend, APIs, and backend services.
• Strong ability to make tradeoffs explicit, and align cross-functional stakeholders around pragmatic decisions.
• An owner mindset and excitement about being in a product-focused environment where everyone cares deeply about customer and business impact.
• Expertise in Golang, Java, Typescript, SQL is highly desirable.
• Experience with or desire to learn large language models, retrieval augmented generation, agents, and their cost structures is beneficial.

Location:

• This role is hybrid (4 days a week in either our San Francisco or Mountain View office)

Compensation & Benefits:

The standard base salary range for this position is $140,000 - $265,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

#LI-HYBRID

Building a great AI assistant is only half the battle – knowing whether it's actually great is the other half. Our team owns the measurement and quality layer that make Glean's Assistant and Agents reliably better over time: evaluation pipelines, quality evalsets, LLM-powered judges, agent observability, and the tooling engineers use to understand what changed and why. It's a rare combination of infrastructure engineering, applied ML, and direct product impact. If you care deeply about quality and want to build the systems that make it measurable, this role is for you.

You will: 

• Design and curate evaluation datasets – sampling strategies, query diversity, and golden sets that give reliable, representative coverage of real assistant behavior.
• Build and maintain large-scale evaluation pipelines that measure assistant quality across thousands of real user queries.
• Build LLM-powered judges that score metrics like correctness, completeness, and response quality, and align them against human judgment.
• Evaluate new models and product changes before they ship – providing the quality signal that gates launches and prevents regressions.
• Build observability infrastructure for AI agents: trace enrichment, data pipelines, and dashboards that make assistant behavior inspectable.
• Close the loop between quality measurement and improvement using eval results, customer feedback, and techniques like automated prompt iteration to help drive concrete gains in assistant behavior.
• Collaborate with engineers across the company to make evals a first-class part of how we ship.

About you:

• 2+ years of software engineering experience with strong coding skills.
• Strong backend fundamentals in Go and Python; comfortable with distributed data pipelines.
• Experience working with LLM evaluation, reinforcement learning from human feedback, natural language processing, or other large systems involving machine learning.
• Analytically rigorous – you think carefully about what offline metrics actually predict about real user experience.
• Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company
• You care about quality – not just in the systems you build, but in the product you're helping measure and improve.

Location: 

• This role is hybrid (3-4 days a week in one of our SF Bay Area offices)

Compensation & Benefits:

The standard base salary range for this position is $200,000 - $300,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

#LI-HYBRID

Building a great AI assistant is only half the battle – knowing whether it's actually great is the other half. Our team owns the measurement and quality layer that make Glean's Assistant and Agents reliably better over time: evaluation pipelines, quality eval-sets, LLM-powered judges, agent observability, and the tooling engineers use to understand what changed and why. It's a rare combination of infrastructure engineering, applied ML, and direct product impact. If you care deeply about quality and want to build the systems that make it measurable, this role is for you.

You will: 

• Design and curate evaluation datasets – sampling strategies, query diversity, and golden sets that give reliable, representative coverage of real assistant behavior.
• Build and maintain large-scale evaluation pipelines that measure assistant quality across thousands of real user queries.
• Build LLM-powered judges that score metrics like correctness, completeness, and response quality, and align them against human judgment.
• Evaluate new models and product changes before they ship – providing the quality signal that gates launches and prevents regressions.
• Build observability infrastructure for AI agents: trace enrichment, data pipelines, and dashboards that make assistant behavior inspectable.
• Close the loop between quality measurement and improvement using eval results, customer feedback, and techniques like automated prompt iteration to help drive concrete gains in assistant behavior.
• Collaborate with engineers across the company to make evals a first-class part of how we ship.

About you:

• 2+ years of software engineering experience with strong coding skills.
• Strong backend fundamentals in Go and Python; comfortable with distributed data pipelines.
• Experience working with LLM evaluation, reinforcement learning from human feedback, natural language processing, or other large systems involving machine learning.
• Analytically rigorous – you think carefully about what offline metrics actually predict about real user experience.
• Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company
• You care about quality – not just in the systems you build, but in the product you're helping measure and improve.

Location: 

• This role is hybrid (3-4 days a week in one of our SF Bay Area offices)

Compensation & Benefits:

The standard base salary range for this position is $200,000 - $300,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

#LI-HYBRID

We're seeking a software engineer to join the Insights team within the Billing and Insights charter that underpins Glean's consumption-based pricing, product analytics and user targeting. This team owns the end-to-end stack that makes our AI products explainable and measurable for customers and internal teams—from logging and usage pipelines to Insights dashboards, self-serve logs, user targeting platform and natural language query(NLQ)-powered agents on top of our data warehouse. As an SWE on this team, you'll design and build data pipelines, backend services, and customer-facing experiences that make Glean's value visible and trustworthy. You'll work closely with Product, Data Science, Finance, Marketing and Go-To-Market to ensure that every metric we show is accurate, auditable, and aligned across internal and external views.

You will:

• Design and implement reliable data pipelines and services that summarize deployment log data into daily user-, team-, department-, and agent-level metrics powering the Insights dashboards.
• Build and evolve backend APIs and services that sit between our product logs, warehouses, and the Insights UI, with a high bar for correctness, debuggability, and latency.
• Contribute to the NLQ for Insights initiative by extending the agentic loop and tool library over our Insights warehouse so moderators and admins can ask natural-language questions and get accurate, explainable answers.
• Build user targeting platform for marketing and growth campaigns.
• Improve observability, alerting, and backfill workflows for Insights jobs so metric issues are caught early and resolved safely via idempotent backfills.
• Partner with Pricing, Finance, Data, Marketing and Product to keep internal dashboards and external Insights views aligned on core definitions (e.g., active users, assistant and agent usage, utilization) and to support usage-based pricing and renewals.

About you:

• 5+ years of industry software engineering experience, including meaningful ownership of production services or analytics systems.
• Strong experience building backend services and APIs in one or more of: Golang, Java, Typescript, or Python, and comfort jumping across the stack when needed (from data pipelines to APIs to web UX).
• Proficiency in SQL and experience working with modern data warehouses or analytics stacks.

Location:

• This role is hybrid (4 days a week in our San Francisco office).

Compensation & Benefits:

The standard base salary range for this position is $140,000 - $265,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

#LI-HYBRID

P-1607

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As one of the first engineers in the NYC Engineering office, you’ll have the opportunity to be part of a small, nimble team that’s innovating to build new products from the ground up. Our goal is to leverage the power of Databricks in data & AI to deliver vertical AI applications for both technical and business users. This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks.   

The impact you'll have:

• Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency
• Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user & business growth
• Lead by example with hands-on full-stack software development to create dynamic, user-centric experiences
• Enable mechanisms that can drive product-led growth, through seamless onboarding and sharing capabilities
• Direct the future of intuitive agentic applications at Databricks, in collaboration with cross-functional teams of innovative software engineers, product managers, and designers
• Establish best practices within the team & Databricks more widely for building valuable, AI products

What we look for:

• 10+ years of experience with HTML, CSS, and JavaScript
• Demonstrated product mindset with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback.
• You care that AI features feel intuitive, trustworthy, and helpful, not just bolted on to an existing app
• High ownership and bias for action in 0→1 environments: you are comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption.
• Strong ability to collaborate across product, engineering, and design teams to align technical strategy with company growth objectives.  
• Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember)
• 10+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go)
• Proven experience building and shipping end-to-end generative AI products, ideally with a significant UI/UX component
• Experience in developing deep product and business knowledge to connect abstract modeling and analysis tasks with business value

We’re hiring a Tech Lead Manager of the Admin Console team to lead one of the most important product surfaces at Glean: the admin experience that helps customers deploy, govern, and scale Glean across their organizations. This is a high-impact, full-stack leadership role for an engineering leader who can guide architecture, partner deeply with product and design, and grow a small but strategically important team. The Admin Console is the control plane for enterprise activation, admin confidence, and scalable rollout. Admins use it to configure authentication, data sources, permissions, governance, search settings, AI features, and deployment health from a self-serve central hub. As Glean evolves from a search company into an AI platform, this team’s mission is evolving too: from managing data sources to helping admins manage the broader context layer of the system, including actions, live data, governance, and AI configuration.

You will:

• Lead and grow the Admin Console engineering team, providing both people leadership and strong technical direction.
• Own architecture and execution for core admin-facing workflows including data source setup, security configuration, deployment management, and feature rollout controls.
• Partner closely with Product and Design to simplify complex enterprise workflows and make the admin experience more intuitive and scalable.
• Help evolve the Admin Console from a system centered on crawlers and data setup into a broader control plane for enterprise context, actions, governance, and AI capability management.
• Improve self-serve activation so admins can get their organizations up and running faster, with less dependency on human support.
• Improve visibility into crawl health, connector status, indexing progress, permissions, and rollout readiness so admins can confidently understand what is happening in their deployment.
• Build systems and workflows that help admins safely scale Glean across users, teams, and capabilities over time through a coherent interface.
• Collaborate deeply with backend, connector, infra, and security teams to deliver unified admin experiences that sit on top of platform and infrastructure layers.

About you:

• 8+ years of software engineering experience building production distributed systems or cloud‑native applications. 
• 1+ years of engineering management experience of a full stack team
• BS/BA in Computer Science or related field, or equivalent practical experience.
• Strong coding skills in at least one of: Python, Go, Java, C++, Javascript.
• Product‑minded: you prioritize customer impact, clear SLAs/SLOs, and pragmatic iteration.
• Ownership‑driven with a positive, proactive attitude; comfortable leading projects or learning from battle‑tested engineers.
• You have experience building enterprise SaaS, enterprise platform, admin console, or similarly configurable product experiences.
• Experience working on products where usability, governance, permissions, and technical complexity all matter.
• Experience mentoring engineers with different technical strengths, including frontend and backend team members.
• Ability to operate in ambiguity and shape roadmap, architecture, and team execution in a fast-moving environment.
• Strong cross-functional collaboration skills and comfort partnering with product, design, security, and platform teams.

Location: 

• This role is hybrid (4 days a week in our Mountain View or San Francisco office)

Compensation & Benefits:

The standard base salary range for this position is $250,000 - $300,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

#LI-HYBRID

We’re hiring a Tech Lead Manager of the Admin Console team to lead one of the most important product surfaces at Glean: the admin experience that helps customers deploy, govern, and scale Glean across their organizations. This is a high-impact, full-stack leadership role for an engineering leader who can guide architecture, partner deeply with product and design, and grow a small but strategically important team. The Admin Console is the control plane for enterprise activation, admin confidence, and scalable rollout. Admins use it to configure authentication, data sources, permissions, governance, search settings, AI features, and deployment health from a self-serve central hub. As Glean evolves from a search company into an AI platform, this team’s mission is evolving too: from managing data sources to helping admins manage the broader context layer of the system, including actions, live data, governance, and AI configuration.

You will:

• Lead and grow the Admin Console engineering team, providing both people leadership and strong technical direction.
• Own architecture and execution for core admin-facing workflows including data source setup, security configuration, deployment management, and feature rollout controls.
• Partner closely with Product and Design to simplify complex enterprise workflows and make the admin experience more intuitive and scalable.
• Help evolve the Admin Console from a system centered on crawlers and data setup into a broader control plane for enterprise context, actions, governance, and AI capability management.
• Improve self-serve activation so admins can get their organizations up and running faster, with less dependency on human support.
• Improve visibility into crawl health, connector status, indexing progress, permissions, and rollout readiness so admins can confidently understand what is happening in their deployment.
• Build systems and workflows that help admins safely scale Glean across users, teams, and capabilities over time through a coherent interface.
• Collaborate deeply with backend, connector, infra, and security teams to deliver unified admin experiences that sit on top of platform and infrastructure layers.

About you:

• 8+ years of software engineering experience building production distributed systems or cloud‑native applications. 
• 1+ years of engineering management experience of a full stack team
• BS/BA in Computer Science or related field, or equivalent practical experience.
• Strong coding skills in at least one of: Python, Go, Java, C++, Javascript.
• Product‑minded: you prioritize customer impact, clear SLAs/SLOs, and pragmatic iteration.
• Ownership‑driven with a positive, proactive attitude; comfortable leading projects or learning from battle‑tested engineers.
• You have experience building enterprise SaaS, enterprise platform, admin console, or similarly configurable product experiences.
• Experience working on products where usability, governance, permissions, and technical complexity all matter.
• Experience mentoring engineers with different technical strengths, including frontend and backend team members.
• Ability to operate in ambiguity and shape roadmap, architecture, and team execution in a fast-moving environment.
• Strong cross-functional collaboration skills and comfort partnering with product, design, security, and platform teams.

Location: 

• This role is hybrid (4 days a week in our Mountain View or San Francisco office)

Compensation & Benefits:

The standard base salary range for this position is $250,000 - $300,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

#LI-HYBRID

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

The AI team is focused on one of Stripe’s most strategic growth areas: enabling the monetization and scaling of AI-native and AI-enabled businesses. We’re in a unique position – partnering with the world’s most ambitious AI companies (the likes of OpenAI, Anthropic, NVIDIA, etc) building on the frontier of artificial intelligence -- across infrastructure, foundation models, agents, and applications -- to help them grow and commercialize globally using Stripe’s full financial stack.

As part of Stripe’s GTM / Sales organization, this team works closely with Product, Engineering, and Marketing to shape Stripe’s AI GTM strategy and ensure that the world’s leading AI companies -- from early-stage innovators to the largest public players -- choose Stripe as their monetization platform.

What you’ll do

• Work with existing Stripe customers in the AI Industry to develop and execute long-term sales strategies to expand Stripe’s revenue
• Own the full sales cycle, from business case development, to deal structuring and negotiating, to close
• Develop account plans and cross sell into your list of strategic AI customers, driving growth through expansion and new revenue streams 
• Drive deal strategy and commercial negotiations for large, complex renewals
• Develop relationships with executive stakeholders within your book of business, deeply understanding problems they are solving and helping drive to solutions
• Be responsible for account mapping and coordinating effective meetings with the appropriate external stakeholders expanding the customer relationship
• Lead and contribute to team projects to develop and refine our sales process and help shape the Stripe sales culture

Minimum requirements

• * 6+ years of sales experience, preferably selling a technical product, with a track record of top performance
  
  • 4+ years leading complex sales cycles with Enterprise organizations required
  • Ability to understand technical requirements and craft solutions across multiple products
  • Ability to develop and execute account plans spanning multiple business units across complex organizations
  • A knack for working well with a wide range of people, both internally and externally
  • Strong presentation skills, particularly for in-person meetings with multiple stakeholders
  • Proven ability to lead complex negotiations involving bespoke commercial agreements
  • Superior verbal and written communication skills
  • Ability to operate in a highly ambiguous and fast-paced environment
  • Strong interest in technology and a deep understanding of the space

The Tech Lead Manager of the Agentic Runtime team builds the low‑latency, reliable, and secure foundation that powers Glean’s AI agents and assistant experiences at scale. You’ll design and operate core runtime services for multi‑turn orchestration, tool calling, model routing, memory, streaming, and safety. You’ll work across distributed systems, production observability, and ML infra integrations to deliver an experience that feels instant, accurate, and trustworthy — while optimizing cost and reliability.

You will:

• Own impactful runtime problems end‑to‑end — from architecture and design to production launch and ongoing reliability.
• Build and evolve core services for session lifecycle, streaming responses (e.g., gRPC/WebSockets), structured tool execution, memory/state, and policy/guardrails.
• Design for performance, correctness, and cost: reduce p50/p95 latency, improve tail behavior, and optimize token/tool budgets.
• Integrate with leading LLM providers (e.g., OpenAI, Anthropic, Google Gemini) and internal evaluation frameworks to improve quality and predictability.
• Harden the platform with fault isolation, retries, timeouts, circuit‑breaking, backpressure, and graceful degradation.
• Instrument deep observability (tracing, metrics, logs) and create playbooks/SLOs for high availability and on‑call excellence.
• Collaborate closely with product, quality, and application teams to prioritize the most impactful roadmap investments.

About you:

• 8+ years of software engineering experience building production distributed systems or cloud‑native applications. 
• 1+ years of engineering management experience
• BS/BA in Computer Science or related field, or equivalent practical experience.
• Strong coding skills in at least one of: Python, Go, Java, or C++, with a focus on reliability, performance, and tests.
• Product‑minded: you prioritize customer impact, clear SLAs/SLOs, and pragmatic iteration.
• Ownership‑driven with a positive, proactive attitude; comfortable leading projects or learning from battle‑tested engineers.
• Experience operating services on Kubernetes and at least one major cloud (e.g., GCP, AWS, or Azure).
• Familiarity with event/streaming systems (e.g., Pub/Sub, Kafka), caching (e.g., Redis), and data stores for low‑latency paths.
• Practical understanding of LLM/agents building blocks: tool/function calling, structured outputs, streaming, and model selection/routing.
• Strong observability and debugging skills: tracing (e.g., OpenTelemetry), metrics, dashboards, and production forensics.
• Background in one or more areas is a plus: policy/guardrails, multi‑tenant isolation, rate‑limiting, concurrency control, cost optimization.

Location: 

• This role is hybrid (4 days a week in either our Mountain View or San Francisco offices)

Compensation & Benefits:

The standard base salary range for this position is $250,000 - $300,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

#LI-HYBRID

The Strategic Sales Development Representative, Robotics & Automotive will report to the Director of GTM, and will be responsible for identifying, prospecting, and qualifying new sales opportunities. In this role, you will be responsible for wallet share and driving revenue growth for the Physical AI business. This role requires significant ownership in a fast-paced environment. In this role, you will:

• Own and drive overall relationship with Scale’s robotics and automotive prospects; act as a trusted advisor to effectively and confidently communicate the value of Scale offerings to potential customers
• Own top-of-funnel and mid-funnel motion to generate qualified pipeline and revenue through outbound prospecting, lead qualification, and relationship management
• Coordinate networking events such as hackathons, webinars, meetups, conferences, social events, and other events to gain visibility and build credibility within the robotics and automotive community
• Ability to write highly tailored and personalized cold outbound messaging to book meetings with target personas
• Take on ad-hoc strategic projects end-to-end — own the initial research, develop a proposed approach, incorporate feedback, and drive through to execution and handoff
• Thrive in a multi-tasking environment with the ability to adjust priorities quickly
• Consistently share knowledge of industry trends and solutions
• Collaborate with GTM, Operations, and Technical teams to keep sales collateral up to date

Ideally, you will have:

• Bachelor’s degree or equivalent work experience
• 1-3 years of sales experience in a fast-paced software or technical environment
• Ability to understand Scale’s product offerings and operations
• Ability to communicate deeply technical solutions to business and technical audiences
• Passion for what you do, and the creativity and willingness to think outside of the box
• Excellent writing and communication skills
• Strong sales process and systems skills (Slack, Salesforce, Outreach, Clari)
• Demonstrated ability to develop strong consultative relationships with external partners and internal cross-functional teams at all levels
• Experience developing and communicating executive-level materials
• Strong project management skills, high detail orientation, and exceptional organizational skills
• Technical background highly valued

Sales Commission: This role is eligible to earn commissions.

Overview

Scale’s Finance Systems and Automation team is looking for a builder-oriented team member to help design and develop integrations, automations, and AI agents that streamline workflows across Finance, Accounting, People, and Recruiting.

In this role, you will work closely with stakeholders across Finance, Accounting, People Operations, and Recruiting to understand their workflows and build integrations, automations, and agentic workflows that reduce manual effort and accelerate execution across these teams.

You will leverage our internal data infrastructure, system integration tooling, and emerging AI platforms to architect scalable solutions — from traditional system integrations to intelligent agent-driven workflows — that serve as the foundation for long-term operational efficiency.

We’re looking for someone who thrives on connecting systems, automating repetitive processes, and pushing toward more autonomous, AI-assisted operations. You should be comfortable navigating ambiguity, designing solutions that scale, and rigorously validating outcomes end to end.

What You’ll Do

• Design and build agent-driven workflows and automation systems across People Operations, Recruiting, Finance, and Accounting
• Identify opportunities to replace manual or rules-based processes with agentic workflows
• Partner with stakeholders to translate business processes into scalable, automated solutions
• Lead the implementation of end-to-end workflows, from requirements through deployment and validation
• Automate candidate-to-employee transitions (e.g., Greenhouse → HRIS → provisioning systems)
• Build workflows to manage employee lifecycle events such as onboarding, transfers, and offboarding
• Automate approval flows and data synchronization across People, Finance, and Recruiting systems
• Support accounting and finance workflows through scalable integrations and automation
• Design and implement the underlying integrations and data flows that enable reliable automation and agent behavior
• Establish and apply best practices for workflow design, monitoring, error handling, and maintainability
• Collaborate with data and engineering teams to ensure automation systems are built on reliable data foundations
• Maintain clear documentation of integrations, automations, and agent behavior
• Support adoption of automation and AI-enabled workflows by working closely with People Ops, Recruiting, and Finance stakeholders

What We’re Looking For

• 5+ years of experience building integrations and automation workflows across business systems
• Hands-on experience with an iPaaS platform (e.g., Workato, Mulesoft, Boomi, etc.) - Workato Certification is big plus
• Experience building or experimenting with AI-powered workflows, LLM APIs, or agent-driven systems
• Experience designing workflows across employee lifecycle processes (hire, onboard, manage, offboard)
• Experience integrating Finance systems such as NetSuite, Coupa, or similar
• Experience working with PayRoll systems such as ADP, Deel, Workday is a plus
• Experience working with People and Recruiting systems such as Workday, BambooHR, Greenhouse, or similar is a plus
• Strong problem-solving skills and ability to operate independently in a fast-paced environment
• Excellent communication skills and experience working cross-functionally with business stakeholders
• A builder mindset with a focus on delivering reliable, scalable solutions
• Understanding of how to design reliable, production-ready agentic workflows (e.g., validation, retries, guardrails) is a plus

Glean is seeking a few Machine Learning engineers who want to focus on a combination of Quality and traditional ML work to help us build the Enterprise Brain. The Enterprise Brain team is developing a suite of proactive AI products that aims to revolutionize enterprise workflows by proactively detecting and automating tasks for users - thus unlocking true productivity. This is built on top of a deep user understanding and state of the art Enterprise graph. The project involves using both LLM and other advanced ML techniques, agent orchestration and cutting-edge ranking techniques.

You will: 

• Work on deeply challenging ML problems involving user understanding and task prediction.
• Invent new LLM workflows and signals to improve reasoning, planning, and personalization.
• Design and optimize reinforcement learning and fine-tuning approaches to improve the quality of understanding, prediction and other agentic systems.
• Lead development of scalable evaluation, benchmarking, and optimization loops.
• Build and maintain robust ML pipelines for enterprise and knowledge graph construction.
• Drive initiatives to measure, monitor, and improve data quality, model quality, and end-to-end system performance.
• Collaborate with cross-functional teams to deeply understand customer pain points and deliver high-quality, production-ready ML solutions.
• Mentor junior engineers or learn from experienced ones in a tight-knit, high-velocity environment.

About you: 

• 3+ years of industry experience in AI or Machine Learning Engineering.
• BA/BS in computer science, math, sciences, or a related field.
• Experience with search, recommendation, natural language processing, or other large-scale ML systems.
• Proven ability to design, build, and ship production-ready models and systems.
• Demonstrated expertise in ML evaluation, benchmarking, and data quality—ideally with experience in building or maintaining evaluation frameworks for complex enterprise tasks.
• Proficiency in your ML framework of choice (e.g., TensorFlow, PyTorch).
• Strong coding skills (Python, Go, Java, C++, etc.).
• Thrive in a customer-focused, cross-functional environment; a proactive and positive attitude is a must.

Location:

• This role is hybrid (4 days a week in our Mountain View, CA office)

Compensation & Benefits:

The standard base salary range for this position is $200,000 - $300,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

#LI-HYBRID

Role: Engineering Manager, Engineering Productivity & Cloud Infrastructure

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're looking for an Engineering Manager to lead our Engineering Productivity (EngProd) & Cloud Infrastructure team — the platform team whose customers are every other engineer at Baton, and the team responsible for our cloud infrastructure, security, and networking partnership with Ryder. You'll own the people, roadmap, and execution of EngProd as we scale from a small, scrappy infrastructure pod into the durable engineering-leverage function that powers a 50+ person engineering organization and Ryder's broader technology investments.

This role is equal parts people leader, technical strategist, and cross-functional operator. You'll coach and grow a tight-knit team of engineers, define and own a 12–18 month roadmap that compounds across every other pod (DaPla, ML, ProPla, Radius, CVIZ), and be the voice of Engineering productivity in baton engineering and cross-org planning. You'll inherit a real engineering function with momentum — and the opportunity to define what "world-class engineering productivity" looks like at the intersection of a fast-moving startup and a Fortune 500 company.

This is ideal for an experienced engineering leader who has come up through infrastructure / platform / devex / SRE, who genuinely loves building teams, and who is energized by making other engineers dramatically more effective.

Responsibilities

• People Leadership & Team Development:
  • Lead, mentor, and grow a team of high performing engineers.
  • Run performance reviews, calibration, career-path conversations, and PD chats. Set and hold a high bar.
  • Own hiring for the pod — partner with recruiting on sourcing, calibration, and closing top devops / platform / infra talent.
  • Build a culture of ownership, customer-empathy (engineering is your customer), and continuous improvement.
• Roadmap & Strategy:
  • Own the EngProd 12–18 month roadmap. Translate company-level OKRs into a prioritized backlog of investments.
  • Build a structured intake and prioritization process across pods, treating other engineering teams as customers with real needs and real tradeoffs.
  • Drive Engineering-as-a-Product thinking — every initiative should have a clear customer (another pod), a measurable outcome, and a leverage story that compounds across multiple pods.
  • Champion paved-road tooling and self-service over bespoke, one-off solutions — make the right way the easy way.
  • Champion measurement: stand up the Engineering Excellence KPIs, dashboards, and metrics that let Baton manage what it cares about (CI duration, deploy frequency, MTTR, cost per service, etc.).
• Execution & Cross-Org Communication:
  • Run sprint planning, project planning, and milestone tracking. Maintain a healthy roadmap and risk register.
  • Represent EngProd in EngStaff and cross-pod syncs. Communicate status, risks, and tradeoffs to executive stakeholders with clarity and confidence.
  • Partner with TPMs and peer engineering managers (DaPla, ML, ProPla, Radius, CVIZ) to negotiate scope, unblock dependencies, and deliver value.
• Technical Leadership:
  • Drive and review engineering specs. Weigh in on architectural decisions for CI/CD, testing infrastructure, observability, cloud infra, IaC, secrets/IAM, and developer tooling.
  • Own Ryder relationships for cloud infrastructure, security, and networking — navigating enterprise constraints while preserving startup velocity.
  • Partner with the Technical Support organization on issues and escalations
  • Stay technically credible enough to lead — without becoming the bottleneck. Empower senior engineers to own their domains.
  • Partner with our other Platform pods to ensure EngProd investments compound across the broader Baton platform.

Minimum Qualifications

• 8+ years of engineering experience, including 4+ years directly managing software / infra / devops / SRE engineers.
• Track record managing teams of 2–8 direct reports, including hiring, growing, and developing technical talent.
• Has owned a multi-quarter technical roadmap for an infrastructure, platform, devex, or SRE function in a high-growth environment.
• Strong technical foundation: cloud infrastructure (AWS), Kubernetes, CI/CD, observability tooling (Grafana / Prometheus / Sentry / DataDog), Python, and Infrastructure-as-Code (Pulumi / Terraform), Enterprise security experience.
• Demonstrated ability to lead a team that delivers reliably across quarters, with predictable velocity and clear stakeholder communication.
• Comfortable communicating technical strategy and tradeoffs to executive stakeholders.
• Experience operating in B2B SaaS or enterprise environments where reliability, scale, and customer SLAs matter.

Preferred Qualifications

• Background scaling EngProd / Developer Experience / Platform / SRE functions from small-but-scrappy to a durable, high leverage engineering org.
• Experience working inside a startup-within-an-enterprise (e.g. an acquired startup operating inside a Fortune 500).
• Experience in logistics, supply chain, or freight technology.
• Background in test infrastructure, deployment automation, or production reliability initiatives that measurably improved org-wide engineering velocity.
• Familiarity with Baton's tech stack: Python, FastAPI, GraphQL, Flink, Materialize, Debezium, Kafka, Pulumi, GitHub Actions.

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 $250,000 - $300,000. 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.

Scale’s Generative AI business unit is currently seeing historic levels of growth. As a Strategic Projects Lead (SPL), you will  leading initiatives that will drive $XXM+ in new revenue for the business. This is a demanding role, and as an SPL, you should be prepared to wear many hats such as Operator, Product Manager and customer-facing Engagement Manager. The ideal SPL should have a strong entrepreneurial mindset, be comfortable getting into the weeds, and be excited about intense, impactful work that leads to an accelerated career progression.

You will:

• Lead cross-functional projects with diverse stakeholders (Engineering + Ops + Go-to-Market)
• Partner with product and engineering teams to enhance products to fulfill needs of strategic customers and initiatives
• Own the execution of our data labeling operations for strategic projects
• Give regular progress updates to Scale’s executive team
• Work on some of the most impactful problems at the company

Ideally, you’d have:

• Strong technical background (a degree in computer science is ideal, and at minimum the role requires the ability to do data analytics using SQL or Python).
• 2+ years of experience leading a team, developing product or operational processes, or as a SWE. 
• Strong problem solving capabilities (experience working on operational challenges or as a consultant is a plus). 
• Entrepreneurial experience and mindset - you are excited about building things from scratch

About the Role

Truework, recently acquired by Checkr, provides access to crucial employment and income information needed for mortgage loans, apartment rentals, background checks, and more. We are disrupting a $5B+ industry, dominated by legacy incumbents, with a better product and intense customer focus. Within Checkr, Truework operates independently, allowing rapid iteration while also being able to leverage the strengths and assets from our core business. Think of it like joining a startup within a startup!

As a Senior Software Engineer on the Truework team you will help develop and maintain the platform that’s used by 8 of the top 10 mortgage lenders in the US. At Checkr, Engineers take ownership and responsibility on all aspects of Product development from leading projects, working with product managers and customers to define and implement features, to collaborating with our sales and marketing teams on launching and scaling products. You’ll have a lot of autonomy and will be successful if you have high agency and a keen sense of craftsmanship for yourself and others.

Most of the work we need to do is backend-oriented, but we are open to candidates from a broad set of roles (full stack, backend, QA engineers, SREs, etc.) if you meet our requirements. 

What you’ll do

• Be an independent individual contributor who can solve problems and deliver high-quality solutions with minimal/high-level oversight and a high level of ownership
• Bring a customer-centric, product-oriented mindset to the table - collaborate with customers and internal stakeholders to resolve product ambiguities and ship impactful features
• Partner with engineering, product, design, and other stakeholders in designing and architecting new features
• Experimentation mindset - autonomy and empowerment to validate a customer need, get team buy-in, and ship a rapid MVP
• Quality mindset - you insist on quality as a critical pillar of your software deliverables
• Analytical mindset - instrument and deploy new product experiments with a data-driven approach
• Deliver performant, reliable, scalable, and secure code capable of supporting Truework’s significant scale
• Monitor, investigate, triage, and resolve production issues as they arise for services owned by the team

What you bring

• 5+ years of software development experience
• Bachelor degree (or equivalent education/training)
• Proficiency in Python and Javascript (or similar languages/frameworks)
• Experience developing RESTful APIs
• Strong communication and documentation skills
• A strong sense of ownership from feature design through production release
• A desire to collaborate with external stakeholders
• An eagerness to learn, collaborate, improve, innovate, and have fun
• An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes

What you’ll get

• A fast-paced and collaborative environment
• Learning and development allowance
• Competitive compensation and opportunity for advancement
• 100% medical, dental, and vision coverage
• Up to $25K reimbursement for fertility, adoption, and parental planning services
• Flexible PTO policy
• Monthly wellness stipend

About the Role

Truework, recently acquired by Checkr, provides access to crucial employment and income information needed for mortgage loans, apartment rentals, background checks, and more. We are disrupting a $5B+ industry, dominated by legacy incumbents, with a better product and intense customer focus. Within Checkr, Truework operates independently, allowing rapid iteration while also being able to leverage the strengths and assets from our core business. Think of it like joining a startup within a startup!

As a Senior Software Engineer on the Truework team you will help develop and maintain the platform that’s used by 8 of the top 10 mortgage lenders in the US. At Checkr, Engineers take ownership and responsibility on all aspects of Product development from leading projects, working with product managers and customers to define and implement features, to collaborating with our sales and marketing teams on launching and scaling products. You’ll have a lot of autonomy and will be successful if you have high agency and a keen sense of craftsmanship for yourself and others.

Most of the work we need to do is backend-oriented, but we are open to candidates from a broad set of roles (full stack, backend, QA engineers, SREs, etc.) if you meet our requirements. 

What you’ll do

• Be an independent individual contributor who can solve problems and deliver high-quality solutions with minimal/high-level oversight and a high level of ownership
• Bring a customer-centric, product-oriented mindset to the table - collaborate with customers and internal stakeholders to resolve product ambiguities and ship impactful features
• Partner with engineering, product, design, and other stakeholders in designing and architecting new features
• Experimentation mindset - autonomy and empowerment to validate a customer need, get team buy-in, and ship a rapid MVP
• Quality mindset - you insist on quality as a critical pillar of your software deliverables
• Analytical mindset - instrument and deploy new product experiments with a data-driven approach
• Deliver performant, reliable, scalable, and secure code capable of supporting Truework’s significant scale
• Monitor, investigate, triage, and resolve production issues as they arise for services owned by the team

What you bring

• 5+ years of software development experience
• Bachelor degree (or equivalent education/training)
• Proficiency in Python and Javascript (or similar languages/frameworks)
• Experience developing RESTful APIs
• Strong communication and documentation skills
• A strong sense of ownership from feature design through production release
• A desire to collaborate with external stakeholders
• An eagerness to learn, collaborate, improve, innovate, and have fun
• An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes

What you’ll get

• A fast-paced and collaborative environment
• Learning and development allowance
• Competitive compensation and opportunity for advancement
• 100% medical, dental, and vision coverage
• Up to $25K reimbursement for fertility, adoption, and parental planning services
• Flexible PTO policy
• Monthly wellness stipend

Foresite Labs is a translational R&D team that derives insights from precision measurement and population-scale biology and genetics to address unmet clinical needs. We use human genetics to systematically dissect and understand human disease biology and develop and critically evaluate therapeutic hypotheses. We engage in translational research, transforming basic insights into therapeutic opportunities. Our work supports drug discovery and company formation, and provides the core around which new ideas are realized and incubated. We offer competitive salaries, excellent benefits, a flexible work environment, and the opportunity to learn from top thinkers in various disciplines. Foresite Labs is headquartered in San Francisco and Boston. 

What You’ll Do

• Build and own production data infrastructure. Design, implement, and operate deterministic data pipelines that feed  intelligence layers; ingest clinical, financial, scientific, and commercial data from REST APIs, XML feeds, and file-based sources into clean, queryable analytical layers; own the full lifecycle: pagination, rate limiting, auth, schema drift, idempotency, retries, monitoring, and alerting.
• Model and curate high-quality data assets. Perform entity resolution, schema design, and quality enforcement across disparate and heterogeneous data sources; ensure downstream models, agents and dashboards operate on clean and trustworthy data.
• Support AI-native workflows. Build vector infrastructure (e.g., embeddings, indexing, retrieval) and structured data interfaces that GenAI agents and LLM orchestrators depend on; ensure AI layers have the right data in the right shape at the right time.
• Uphold high engineering standards and collaborate broadly. Lead code and design reviews, establish testing and observability best practices, and mentor peers; partner with ML engineers, computational biologists, and company founders to translate scientific and business goals into maintainable, and scalable technical solutions.
• Leverage agentic coding tools (Claude Code, Codex, or similar) to accelerate prototyping, refactoring, and debugging. 

What You’ll Bring

• 5+ years of professional data engineering experience designing, building, and operating production pipelines end-to-end - including schema design for analytical workloads, entity resolution across messy real-world sources, and data quality enforcement at the pipeline level.
• Deep fluency in Python and SQL, writing performant, well-tested data transformation code (dbt or similar), with production experience in pipeline orchestration (e.g., Airflow, Prefect) covering DAG design, scheduling, dependency management, retry/backfill patterns, and alerting.
• Hands-on cloud data stack experience across AWS or GCP (e.g., managed Postgres, object storage, query engines, serverless ETL) and working knowledge of IAM, networking, and infrastructure patterns; comfortable with Spark or Trino at scale over Parquet/Iceberg. Terraform, CDK, or Pulumi experience is a plus.
• Exposure to vector databases (Pinecone, pgvector, Weaviate, or similar) with an understanding of how embedding-based retrieval fits into LLM-powered applications.
• Comfortable building and navigating Unix environments, containers (Docker), and CI/CD pipelines (GitHub Actions or similar).
• Mindset for rapid and early‑stage execution: bias for action, ownership of ambiguous problem spaces, and demonstrated ability to prioritize and wear multiple hats.
• Strong written and verbal communication skills - comfortable explaining complex ideas clearly to technical and non‑technical partners.

Nice to Have

• Familiarity with biomedical or life sciences data (e.g., clinical trials, genomics, drug discovery, pharma commercial data).
• Familiarity with LLM application patterns: prompting, context engineering, tool use, structured outputs, retrieval-augmented generation (RAG).
• Experience with dashboard/BI tooling (Streamlit, Retool, Metabase, or similar).

Why Foresite Labs

• Impact. Your code will accelerate discovery and bring novel therapeutics closer to patients and will help AI driven scientific innovation.
• Autonomy. Small, senior teams give you room to architect and own end‑to‑end solutions without heavy bureaucracy.
• Learning. Work at the intersection of software, cloud infrastructure, and biology alongside experts in each domain.
• Flexibility & Benefits. Competitive salary and equity, comprehensive healthcare, generous PTO, and hybrid/remote options aligned to our SF or Boston hubs.
• Ready to build? Apply today and help us create the software foundation that powers the next generation of companies advancing biotech and scientific innovation.

Location: San Francisco, CA

Salary range: $185,000 - $221,400

Foresite Labs is an equal opportunity employer. We thrive on diversity and collaboration.

Primary Care Physician + Clinical Innovation (Women’s Health)

About Tia: 

Tia is a full-stack women's healthcare business that builds products, tools and clinical services virtually and in person to help every woman be her own patient advocate and get meaningfully better healthcare. We’re putting the soul back in medicine, one patient and one provider at a time through a care philosophy that is reimagined to listen to and empower women to actively take control of their healthcare. The care philosophy that supports our patients is also built to support clinicians who are the heart and soul of the care Tia is able to provide. In order to do that - we need YOU!

Read more about Tia’s:

• Products: https://asktia.com/article/what-is-product-at-tia
• Services: https://asktia.com/   
• Care principles: https://www.asktia.com/care-philosophy/

About the role:

This is a full-time role that splits time across:

• 3 days/week in direct patient care
• 2 days/week partnering with teams across Tia’s innovation organization to advance clinical strategy, care model design, and the tools that support care delivery

As a Physician (MD/DO) at Tia, you’ll provide affirming, evidence-based primary care for women across preventive care, acute concerns, and chronic disease management. Board certification/board eligibility in Family Medicine or Internal Medicine is preferred (other relevant specialties considered).

This role is built for physicians who want both clinical practice and meaningful influence — teaching within an interdisciplinary team, collaborating on care journeys, and contributing to the product/technology lifecycle of the tools you use every day.

What you’ll do

Clinical care (3 days/week)

• Deliver high-quality primary care for women across prevention, acute care, and chronic condition management.
• Collaborate closely with an interdisciplinary team to provide coordinated, longitudinal care. 

Clinical strategy + innovation (2 days/week)

• Provide clinical input and definition for care journeys and protocols
• Research and translate evolving guidelines and innovations into our core care model
• Partner with product and engineering teams to shape clinical decision support tools
• Support and amplify Tia’s women’s health research and learning agenda
• Help define and run sessions with Tia’s Clinical Advisory Council
• Collaborate with specialist teams within health system partnerships to advance Tia’s “deepened primary care” model

A bit about you:

Values and abilities you’ll bring to Tia: 

• You’re motivated to elevate women’s care by bringing a shared-decision making approach to women’s health. 
• You are comfortable managing a variety of clinical cases that may come your way - and approach clinical care with curiosity, warmth and collaboration.
• You’re facile with technology and interested in the process of developing new technology to support high quality clinical care. 
• You’re data driven and consistently incorporate new and evolving research into your day-to-day practice
• You are excited about teaching and collaborating with an interdisciplinary team - including nurse practitioners, therapists, acupuncture and acupuncture providers.
• You are a tolerant and inclusive thinker. 

Skills and assets you’ll bring to Tia: 

• You’re a board certified or board eligible Physician (Family Medicine or Internal Medicine required), in the state of California with an unrestricted license, able to provide primary care and support of all aspects of women’s health with compassion and empathy 
• You’re adept at providing primary care services to women including: preventative care, hypertension management, diabetes management, urgent care concerns (coughs, sore throat, abdominal pain, etc), basic dermatological condition management, STD screens, UTI & vaginal infections consults, pelvic pain, vaginal bleeding, birth control counseling, etc and are motivated to deliver this care and collaborate with other members of the care team to ensure every Tia patient receives excellent care.
• You’re highly tech savvy
• You’re authorized to work in the US
• You’re willing and eligible to be credentialed with our academic partners
• You’re able to serve as a collaborating physician for our CA nurse practitioners if needed

Other “nice to have” skills: 

• As an organization that seeks to create an environment for all women to feel safe, heard, recognized and avowed in their health, bodies and lives, we are consistently seeking providers with backgrounds that are meaningfully different from those already forming our team. You bring a diverse background, a range of care experiences in different communities or various modalities.
• Experience or formal training weaving integrative medicine practices into your care plan development. 

Tia requires that Physicians complete credentialing with specified payors and that you authorize Tia to complete this credentialing through our preferred vendors.

Benefits

• Talented and collaborative team who will support and collaborate with you
• Competitive salary which includes a unique opportunity to receive equity in Tia’s MSO entity - ensuring that you feel deeply part of building Tia with us and can share in the success. 
• Medical malpractice coverage
• Reimbursed for state licenses, Board Certification, and BLS certification. DEA will be reimbursed where it is required for practice.
• Complimentary subscriptions to educational tools such as UptoDate along with extensive internal educational resources and monthly clinical training opportunities
• Access to AI documentation software drastically reducing administrative burden of clinical documentation
• Providers working 30+ hours are eligible for expanded paid time off, a quarterly bonus program and comprehensive health, dental and vision benefits
• Salary range: $250,000–$300,000 (full time)

About Us:
Tia is on a mission to transform healthcare for women. We are building a high-quality, multi-specialty medical home designed specifically for women — integrating primary care, gynecology, mental health, dermatology and evidence-based wellness into one coordinated experience across in-person centers and a robust virtual platform.

Tia is technology-enabled, advancing and scaling excellent care through a proprietary clinical and operational platform that supports clinicians, strengthens care continuity, and improves outcomes.

We are deepening and expanding one of the most comprehensive preventive care models for women on the market — with a growing focus on cardiometabolic health, longitudinal data, and earlier risk detection across the lifespan. By integrating technology, structured clinical pathways, and mission-aligned interdisciplinary teams, Tia delivers consistently strong clinical outcomes and a differentiated care experience for women.

Tia is a Series D, venture-backed company with more than 120,000 women who trust Tia for their care, across four markets, supported by a national virtual platform. In each market, we partner with leading health systems to expand access, strengthen primary care, and improve quality for women at scale.

About Tia’s Culture:  

Tia is building a culture of excellence — in people, process and product. This is our northstar value;

What is excellence, exactly?

Excellence about constantly elevating yourself, it is the process of constantly striving to perform to the best of your abilities, and identifying your top potential through constant learning, experimentation and evolution. Excellence is not about achieving perfection, as that insinuates a pinnacle. Instead, in our terms, excellence is about the pursuit of constant improvement. We’re looking for people who want to go on that hard journey of constantly setting new personal records, and organizational records.

We practice excellence at Tia by demonstrating the following types of behaviors: We chose (and actively choose) excellence as Tia’s highest order value because it crystalizes into one word several behaviors that we hold dear, specifically:

A drive to constantly improve through experimentation, reflection. and an insatiable growth mindset — said another way, we’re energized by the possibility of invention, innovation, and iteration

• Being present in and grateful for the journey — not just the goal line. Perfection is static. Excellence is a process (more on this important distinction below)
• Asking why, then why again — because accepting “this is just the way it is” is not good enough
• Grit & perseverance — a maker mentality that involves “rolling up your sleeves”, but also deep care for oneself and for others
• A commitment to uncovering talents to unlock “rock star” potential across every individual

Furthermore, excellence reflects the “bigness” and the “boldness” of Tia’s mission and vision — a world in which every woman can achieve optimal health, as defined by herself.

Said another way, Tia’s mission is NOT to make healthcare incrementally better for women. Instead, we’ve intentionally set out to create a fundamentally new paradigm for modern women’s healthcare that’s truly excellent. We believe that creating a company that operates in a culture of excellence will manifest in our product. Reaching this goal is not an overnight pursuit or a “one and done.” We have not and will not “get it right” with the first swing. Rather, this higher order goal is a moving target — one we have not and will not ever fully “achieve.” By design, we will never be “done” with this work, but instead, we will be continuously in pursuit of our mission. It is this continuous pursuit — the journey, not the finish line — that truly embodies excellence.

This position may require attendance at company and team off-sites.

Unfortunately, scams targeting job seekers are on the rise. To protect yourself, know that we will never ask for payment, gift cards, or sensitive financial information during our hiring process. All communication from our team will come from an official company email address (@asktia.com). If something feels off, trust your instincts and reach out to us directly at peopleservices@asktia.com.

Tia is an equal opportunity employer. We believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users and patients. We strongly encourage people of color and members of the LGBTQ+ community to apply.

If you are committed to collaborative problem solving, creating high-quality and user-centric products, and want to make waves in women's healthcare, join us!

About Mochi Health

Mochi Health is building an AI-driven healthcare marketplace that makes it easier for patients to find the right providers, access affordable medications, and take control of their health. We're a fast-growing health tech company in San Francisco focused on making healthcare more accessible, transparent, and effective.

The Role

We're looking for an experienced Senior Technical Recruiter to support our rapid growth by filling critical engineering roles on our development team. You'll partner closely with our hiring managers to screen candidates for senior-level roles for full-stack, backend, frontend, React, and for engineering management. 

This role will expect a high degree of expertise, thoughtfulness, tenacity, and speed where you'll manage across multiple open requisitions at a time and be expected to deliver results quickly. You'll work independently while collaborating with our internal team to maintain quality and move candidates through our hiring process efficiently.

What You'll Do

• Screen and interview candidates to assess fit for role requirements and company culture
• Coordinate interviews and drive scheduling between candidates and hiring teams
• Drive candidate quality and pipeline
• Partner with hiring managers to refine job descriptions, interview processes, and candidate criteria
• Extend Offers with the goal of maintaining 80% and above Offer Acceptance rate

What You Bring

Required:

• 5-7+ years recruiting experience with focus on technical roles
• Healthcare or health tech recruiting experience preferred but not required (telehealth, digital health, clinical operations, patient support)
• High-volume recruiting experience (able to manage 5+ reqs simultaneously and conduct 10+ interviews a day)
• Strong screening and interviewing skills with ability to assess culture fit
• Excellent communication and stakeholder management
• Self-starter who can work independently and deliver results without heavy oversight
• Proficiency with ATS systems (Greenhouse, Lever, or similar) 
• Startup or fast-paced environment experience

Preferred:

• Proven experience recruiting and hiring for Engineering leadership roles
• Knowledge of San Francisco Bay Area talent market

Work Arrangement

• On-site 5 days a week in our San Francisco office

Mochi Health • San Francisco, CA • www.joinmochi.com

Mochi Health is an equal opportunity employer. We welcome candidates from diverse backgrounds and are committed to building an inclusive team.

On Call / Per Diem - Nurse Practitioners & Physician Assistants

About Tia: 

Tia is a full-stack women's healthcare business that builds products, tools and clinical services virtually and in person to help every woman be her own patient advocate and get meaningfully better healthcare. We’re putting the soul back in medicine, one patient and one provider at a time through a care philosophy that is reimagined to listen to and empower women to actively take control of their healthcare. The care philosophy that supports our patients is also built to support clinicians who are the heart and soul of the care Tia is able to provide. In order to do that - we need YOU!

Read more about Tia’s:

• Products: https://asktia.com/article/what-is-product-at-tia
• Services: https://asktia.com/   
• Care principles: https://www.asktia.com/care-philosophy/

About the role:

We’re looking to connect with Nurse Practitioners passionate about women’s health for on call / per diem coverage for Tia’s San Francisco clinic. As a Nurse Practitioner - On call / Per Diem, you will be an integral part of the care delivery system. Your clinical expertise related to the full spectrum of providing affirming primary care for women including: gynecological services, primary care, procedures and holistic whole person care is welcome!

Nurse Practitioners are integral to the formation and iteration of our care model - with opportunities to provide direct patient care but also participate in technology development, interdisciplinary case studies, protocol development and innovation.

Schedule - On-call / Per diem Providers serve as standby coverage for same-day provider callouts or urgent clinic staffing needs. During any breaks in patient care, providers may support virtual care, inbox coverage, RN team support, etc. 

Providers are asked to maintain availability for 1 or more on-call days per month, which may include weekday or weekend coverage. You tell us what day(s) each month you are available for on-call coverage. On-call shifts are 8 hours in length and will be between the hours of 8:00am–7:00pm. Providers must be able to report to clinic within two hours if activated. This role ensures consistent patient care, workflow execution, and coverage for the San Francisco clinic during staffing gaps, high-volume periods, training, vacation or emergent needs.

The Nurse Practitioner - On Call / Per Diem functions with high autonomy, strong clinical competency, and adaptability. They are expected to quickly integrate into each clinic’s daily flow and uphold Tia’s standardized workflows.

A bit about you:

Values and abilities you’ll bring to Tia: 

• You’re motivated to elevate women’s care by bringing a shared-decision making approach to women’s health. 
• You believe that each woman knows her body best. Your mission as a healthcare provider is to listen to patients and find ways to help them achieve their optimal health.  You practice this by being a true partner on a patient’s health journey.
• You’re facile with technology
• You are a tolerant and inclusive thinker. You believe in sex-positive, no judgment and radically inclusive healthcare for every person, and espouse these values in your everyday life.

Skills and assets you’ll bring to Tia: 

• You’re a board certified Nurse Practitioner in the state of California, with an unrestricted license, able to provide primary and gynecology care and support of all aspects of women’s health with compassion and empathy
• You’re adept at providing primary care services including: annual exams and pap smears, hypertension management, diabetes management, anxiety and depression management, urgent care concerns (coughs, sore throat, abdominal pain, etc), basic dermatological condition management, STD screens, procedural skills to perform IUD insertions, UTI & Vaginal infections consults etc
• You’re highly tech savvy
• You’re willing to work some (but not all) evenings + weekends as needed by schedule. 
• You’re authorized to work in the US

Other “nice to have” skills: 

• You have procedural skills to perform: nexplanon insertion and colposcopies or a desire to learn.
• As an organization that seeks to create an environment for all women to feel safe, heard, recognized and avowed in their health, bodies and lives, we are consistently seeking providers with backgrounds that are meaningfully different from those already forming our team. You bring a diverse background, a range of care experiences in different communities or various modalities.
• Formal professional training in the following areas is highly valued: care delivery for women who have experienced trauma, care delivery for LGBTQ identified folks including gender affirming hormone management, outpatient primary care depression and anxiety management.
• Experience or formal training weaving integrative medicine practices into your care plan development

Benefits

• Talented and collaborative team who will support and collaborate with you
• Competitive salary of $96/hour 
• Medical malpractice coverage
• Reimbursed for state licenses, board certification, and BLS certification. 
• DEA will be reimbursed where it is required for practice.
• Complimentary subscriptions to educational tools such as UptoDate along with extensive internal educational resources and monthly clinical training opportunities
• Access to AI documentation software drastically reducing administrative burden of clinical documentation

About Us:
Tia is on a mission to transform healthcare for women. We are building a high-quality, multi-specialty medical home designed specifically for women — integrating primary care, gynecology, mental health, dermatology and evidence-based wellness into one coordinated experience across in-person centers and a robust virtual platform.

Tia is technology-enabled, advancing and scaling excellent care through a proprietary clinical and operational platform that supports clinicians, strengthens care continuity, and improves outcomes.

We are deepening and expanding one of the most comprehensive preventive care models for women on the market — with a growing focus on cardiometabolic health, longitudinal data, and earlier risk detection across the lifespan. By integrating technology, structured clinical pathways, and mission-aligned interdisciplinary teams, Tia delivers consistently strong clinical outcomes and a differentiated care experience for women.

Tia is a Series D, venture-backed company with more than 120,000 women who trust Tia for their care, across four markets, supported by a national virtual platform. In each market, we partner with leading health systems to expand access, strengthen primary care, and improve quality for women at scale.

About Tia’s Culture:  

Tia is building a culture of excellence — in people, process and product. This is our northstar value;

What is excellence, exactly?

Excellence about constantly elevating yourself, it is the process of constantly striving to perform to the best of your abilities, and identifying your top potential through constant learning, experimentation and evolution. Excellence is not about achieving perfection, as that insinuates a pinnacle. Instead, in our terms, excellence is about the pursuit of constant improvement. We’re looking for people who want to go on that hard journey of constantly setting new personal records, and organizational records.

We practice excellence at Tia by demonstrating the following types of behaviors: We chose (and actively choose) excellence as Tia’s highest order value because it crystalizes into one word several behaviors that we hold dear, specifically:

A drive to constantly improve through experimentation, reflection. and an insatiable growth mindset — said another way, we’re energized by the possibility of invention, innovation, and iteration

• Being present in and grateful for the journey — not just the goal line. Perfection is static. Excellence is a process (more on this important distinction below)
• Asking why, then why again — because accepting “this is just the way it is” is not good enough
• Grit & perseverance — a maker mentality that involves “rolling up your sleeves”, but also deep care for oneself and for others
• A commitment to uncovering talents to unlock “rock star” potential across every individual

Furthermore, excellence reflects the “bigness” and the “boldness” of Tia’s mission and vision — a world in which every woman can achieve optimal health, as defined by herself.

Said another way, Tia’s mission is NOT to make healthcare incrementally better for women. Instead, we’ve intentionally set out to create a fundamentally new paradigm for modern women’s healthcare that’s truly excellent. We believe that creating a company that operates in a culture of excellence will manifest in our product. Reaching this goal is not an overnight pursuit or a “one and done.” We have not and will not “get it right” with the first swing. Rather, this higher order goal is a moving target — one we have not and will not ever fully “achieve.” By design, we will never be “done” with this work, but instead, we will be continuously in pursuit of our mission. It is this continuous pursuit — the journey, not the finish line — that truly embodies excellence.

This position may require attendance at company and team off-sites.

Unfortunately, scams targeting job seekers are on the rise. To protect yourself, know that we will never ask for payment, gift cards, or sensitive financial information during our hiring process. All communication from our team will come from an official company email address (@asktia.com). If something feels off, trust your instincts and reach out to us directly at peopleservices@asktia.com.

Tia is an equal opportunity employer. We believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users and patients. We strongly encourage people of color and members of the LGBTQ+ community to apply.

If you are committed to collaborative problem solving, creating high-quality and user-centric products, and want to make waves in women's healthcare, join us!

About the Role

Flex is seeking a Revenue Operations Manager to build, own, and scale the operational backbone for our New Verticals  division — Flex's expansion beyond rent into non-rent split-pay verticals. Reporting to the Head of Revenue Operations, you'll be the first dedicated RevOps hire to support New Verticalsr, responsible for standing up the systems, processes, and data infrastructure that will power this division through its next phase of growth.

New Verticals is exiting its experimental phase with clear product-market signal and aggressive growth targets. You'll work closely with Business Development,Sales and cross-functional leadership to architect the GTM engine from the ground up — Salesforce configuration, pipeline management, routing, reporting, and the full revenue tech stack. This is a build role: you'll define the playbook, not inherit one.

This is an ideal role for someone who thrives in ambiguity, has stood up RevOps infrastructure before, and wants to shape the operational foundation of a high-growth division.

What You'll Do

Systems Architecture & Ownership

• Build and own the Salesforce environment for New Verticals — objects, fields, page layouts, record types, validation rules, flows, and automations tailored to non-rent split-pay sales motions.
• Design and implement revenue tech stack integrations (CRM, enrichment, routing, marketing) to support NV's distinct sales process and team structure.
• Establish system architecture standards, documentation, and governance that can scale as the division grows from a small team to a full GTM org.
• Serve as the primary systems expert for New Verticals — owning troubleshooting, enhancements, and feature requests end-to-end.

Process Design & GTM Enablement

• Architect the  sales process from lead-to-close — stage definitions, pipeline management, forecasting methodology, and deal hygiene standards.
• Design and deploy routing rules, territory logic, and assignment workflows specific to go-to-market motions (biller channel, D2C, consumer cross-sell).
• Partner with Revenue Operations leadership to align on New Verticals  processes with company-wide RevOps standards while accommodating the division's unique needs.
• Build scalable onboarding workflows and enablement materials for new  hires as the team scales rapidly.

Data, Reporting & Analytics

• Define and maintain core operating metrics — TPV, pipeline velocity, conversion rates, and division-specific KPIs.
• Build dashboards and reports that give Revenue team leadership real-time visibility into pipeline health, forecast accuracy, and team performance.
• Ensure data quality and integrity through validation rules, audits, deduplication, and governance practices.
• Partner with Data and BI teams to ensure data flows cleanly into Snowflake and downstream analytics.

Cross-Functional Leadership

• Act as the operational bridge between the team’s Business Development,Sales, Partner Success, and the broader RevOps team.
• Translate business requirements into system design — converting ambiguous asks into reliable, repeatable processes.
• Represent the  operational needs in company-wide RevOps planning, tool evaluations, and architecture decisions.
• As the division scales, help scope and build the New Verticals  RevOps function — contributing to hiring plans, role definitions, and team structure.

Who You Are

Qualifications

• 5+ years of experience in Revenue Operations, Sales Operations, or GTM Operations, with at least 2 years in a senior or lead capacity.
• Deep Salesforce expertise — you've configured and built environments, not just maintained them. Salesforce Administrator Certification preferred.
• Demonstrated experience standing up RevOps infrastructure for a new or rapidly scaling business unit, division, or company.
• Familiarity with GTM systems such as Outreach, LeanData, Clay and  HubSpot Marketing..
• Experience with AI-assisted operational tooling (e.g., Claude, Claude Code) is a plus.

Skills & Attributes

• Builder mentality — you're energized by creating from zero, not just optimizing what exists.
• Strong architectural thinking — you design systems and processes that scale, not just ones that work today.
• Comfort with ambiguity — you can define scope, make tradeoffs, and move forward when the playbook doesn't exist yet.
• Exceptional cross-functional communication — you translate between technical and business stakeholders fluently.
• High ownership and accountability — you treat the division's operational success as your own.
• Detail-oriented execution paired with strategic perspective — you can wire up a validation rule and advise on GTM process design in the same afternoon.

Compensation

Flex takes a market-based approach to pay, and compensation may vary depending on your primary work location. Work locations are categorized into one of three tiers based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be commensurate with their experience, qualifications, and Flex’s internal leveling guidelines and benchmarks.

• Tier 1 (NYC/SF/Seattle): $136,000—$170,000 USD
• Tier 2: $122,400—$153,000USD
• Tier 3 (SLC): $115,600—$144,500 USD

Events Lead

Location: San Francisco, CA 

Team: Communications

Reports To: Co-Founder / Communications Partner

About Laude

Laude Institute is a nonprofit research organization built by and for computer scientists who ship their research. We back impact-driven researchers turning breakthrough ideas into open-source infrastructure and real-world tools. Our goal is to accelerate the most important research and get it into people's hands faster. 

On the Institute side, we are funded by individual technologists and anchored by a $100M commitment from Andy Konwinski. On the Ventures side, our inaugural $150M fund is backed by top institutional LPs and 50+ of the world's leading computer scientists. Our community is a who's who of AI and computer science researchers from the most advanced labs in the world, and we convene them regularly to push the frontier forward together.

About the Role

Laude's events are not ancillary to the mission. They are one of its primary expressions. We bring together the people defining the frontier of AI and computer science, and the rooms we create, the atmospheres we set, and the moments we engineer have lasting effects on how that community sees itself and what it builds together. 

We're hiring an Events Lead to own this function end to end across both Laude Institute and Laude Ventures. You'll produce our flagship gatherings, including the Ship Your Research (SYR) Summit, Open Frontier, as well as Laude Lounge VIP activations at NeurIPS and other major conferences. You'll book and execute our programming at our San Francisco venue Laude Lab, which serves as homebase for the leading edge of the computer science research community. You'll pull together salon-style conversations, VIP dinners, our Annual General Meeting, and researcher gatherings. And you'll develop and steward the aesthetic and experiential identity that runs through all of it.

We take strong cues from the music industry. Laude creates rare air for the living edge of the frontier AI research community. The standard here isn't polished corporate marketing. It's something with more energy, more intention, and more soul than that.

This role requires deep event production experience, genuine hospitality instincts, and enough technical and scientific literacy to earn the trust of the community we serve. You should be as comfortable managing a budget and negotiating a venue as you are briefing a keynote speaker or setting the right tone for a late-night dinner. You're a builder and a host in equal measure.

This is a mostly on-site role based out of Laude Lab in San Francisco, with travel (at times internationally) to produce activations on the ground.

What You'll Do

• Produce major Laude events from concept through close: the Ship Your Research (SYR) Summit; Open Frontier; Laude Lounge activations at NeurIPS, ICML, and peer gatherings; and other flagship convenings as the calendar grows
• Produce our Annual General Meeting for Laude Ventures investors and the broader community
• Own Laude Lab programming: book speakers, curate experiences, manage the venue calendar, and maintain the space as homebase for the leading edge of the computer science research community
• Produce salon-style conversations, VIP dinners, and intimate researcher gatherings that reflect the depth and culture of our community
• Own budgets across the full events portfolio: forecasting, tracking, vendor negotiation, and post-event reconciliation
• Lead vendor relationships, venue sourcing, contract negotiation, and logistics management
• Develop and execute event run-of-show, staffing plans, speaker logistics, and on-site operations
• Shape the experiential identity of Laude events: environment, music, food and beverage, pacing, and the arc of the room
• Collaborate on event promotion, pre- and post-event content, and coverage strategy
• Build and manage RSVP and registration flows, guest list curation, and attendee communications
• Coordinate with the research community, external partners, and co-hosts to align on programming, guest list, VIP considerations, and logistics
• Maintain systems that support a high-volume events calendar: templates, timelines, post-mortems, and vendor rosters
• Travel, at times internationally, to produce activations on the ground

Who You Are

• A seasoned event producer with a full-stack skill set: you can lead the strategy and run the production sheet
• Equally skilled at strategic thinking and detailed execution. You have a clear point of view on how Laude should show up in the world and the operational precision to execute on it down to the granular details
• A natural host with genuine hospitality instincts. You read a room, adjust in real time, and care about how people feel in a space
• Deeply organized without being rigid. You keep complex logistics clean and stay composed when they shift
• Experienced working with technical or scientific communities: you know how to earn credibility and create environments where that culture thrives
• Financially fluent: you own your budgets, protect them, and know where to spend and where to hold
• Attuned to aesthetics and atmosphere. You have strong opinions about what makes an event feel right and the taste to execute on them
• Low ego and high ownership. You're motivated by the work landing well, not by being seen doing it
• A clear communicator who can manage up, across, and with external partners simultaneously
• 5 to 10 years of event production experience, with at least some of that in deep tech or research
• Based in San Francisco and able to travel internationally as needed

Nice to Have

• Experience producing events for or within the AI or tech research ecosystem
• Background in conference programming, speaker curation, or editorial-style event design
• Exposure to the music industry, live events, or cultural programming: festival production, venue operations, talent booking, or tour logistics
• Visual sensibility and comfort working with design teams on brand-consistent assets and environments
• Experience managing satellite activations or branded presence at third-party conferences

To Apply

Tell us about a convening you're proud of, what you built, how the room felt, and what you'd do differently. Include a brief description of your production background and any links to past work, press coverage, or programming you've curated.

Compensation

• Salary range $120,000 to $205,000 plus equity based on experience.
• Comprehensive health, dental, vision, and life insurance
• 401(k)
• Unlimited PTO
• Paid parental leave
• On-site at Laude Lab in San Francisco, with travel (at times internationally)

Why Hover wants you

You’ve built and scaled infrastructure platforms before, and you want the next one to be yours at a company where the platform itself is evolving because of what’s running on top of it. Modern AI workloads place fundamentally different demands on infrastructure than traditional services do, from LLM inference and agent runtimes to vector stores, GPU economics, and real-time 3D and computer vision pipelines. You understand these workloads, what they require, what breaks first, and how quickly costs can spiral without the right abstractions in place. You see infrastructure as the layer that determines whether an AI strategy ships or stalls out. At the same time, you judge a platform by whether the engineers using it move faster, favor simple solutions over clever ones, and stay close enough to the code to lead through both architecture reviews and pull requests.

The Infrastructure team builds the platform under Hover's application layer. The rest of engineering is our customer, and our job is to make the fastest path also the most reliable and secure path. That covers our Kubernetes platform, cloud infrastructure, deployment workflows, and geospatial pipelines. It also increasingly covers the AI infrastructure behind Hover's agent platform and 3D digital twin: model serving, agent orchestration, eval pipelines, retrieval systems, and the data plumbing that feeds them.

As more of the product runs on AI, this team's scope is widening and the work is getting harder. This isn't a DevOps or SRE role. Infrastructure here is a software engineering problem. We build systems and tooling that eliminate manual work, and we hold ourselves to the same engineering bar as any product team. This role is the senior technical partner to the Lead of Systems Engineering. You'll shape the architecture, push the team's standards, and own outcomes the business depends on.

You will contribute by

You'll help define and build the platform every other engineer at Hover relies on. That means setting technical direction on the systems that matter most, working closely with backend, frontend, ML, CV, data, and security teams to get things into production, and mentoring engineers as the team grows.

Concretely: you'll standardize how services run, improve deployment workflows, build tooling, harden reliability and observability, and keep cost in check as ML and 3D workloads scale. The job is building systems, not operating them by hand. The output is engineers across Hover shipping faster.

A few things that make it worth your attention:

• The AI work is real, not aspirational. We self-host ML models we've built or fine-tuned, and our agent platform is in production today with real users. The architecture choices in this role (model serving, agent orchestration, context and memory management, eval infrastructure, GPU capacity) set the ceiling on how fast the rest of the company can move.
• Research and product sit close together. Our R&D group includes researchers building the models and systems behind the 3D digital twin. Your infrastructure is what turns that work into something users actually use, and you'll be in the room when those early architectural decisions get made — not handed a spec after the fact.
• The timing isn't incidental. Hover has product-market fit and the business is growing fast. Infrastructure decides whether we keep up, and this role grows with the company.

Your background includes

• 5–8+ years of professional software engineering experience, with meaningful time spent building infrastructure, platform, or distributed systems
• Strong software engineering fundamentals with production experience in Go, Python, or Ruby
• Experience building or working with systems on Kubernetes, beyond simply deploying applications
• Experience working with containerized systems such as Docker
• Experience building or using Infrastructure as Code tools such as Terraform (or similar tools like Ansible or Chef)
• Experience working with cloud platforms such as GCP or AWS, with willingness to learn or deepen expertise in GCP
• A systems-oriented mindset; you think about reliability, observability, failure modes, and scalability when designing systems
• Experience collaborating with engineers across teams to build platform capabilities or improve developer experience
• Comfort working across multiple layers of the infrastructure stack and learning new tools and technologies as the platform evolves

Benefits

• Compensation - Competitive salary and meaningful equity in a fast-growing company
• Healthcare - Comprehensive medical, dental, and vision coverage for you and dependents
• Paid Time Off - Unlimited and flexible vacation policy 
• Paid Family Leave - We support work/life balance and offer generous paid parental and new child bonding leave 
• Mandatory Self-Care Days - A day set aside each month to allow employees to recharge 
• Remote Wellbeing Resources - We provide recurring fitness classes, meditation/ mindfulness tools, virtual therapy, and family planning assistance 
• Learning - We encourage continued education and will help cover the cost of management training, conferences, workshops, or certifications

Hybrid roles at Hover

Hover has Hubs in San Francisco and New York City, where we expect that all employees living within a 50-mile radius of our offices will come into their local Hover office at least three times a week to build rapport and foster organic connection. At this time, Hover is not considering fully remote roles.

The US base salary range for this full-time position is $194,000 - $239,000 annually. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all applicable US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

#LI-JN1 #LI-Hybrid

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:

• 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.
• 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.
• 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.
• 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?
• 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.

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.

About Us

Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.

We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X,  and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.

About the Role

As an Engineering Manager on the Community Discovery team, you will lead one of three engineering teams working collaboratively to build innovative discovery experiences on Twitch. You'll partner closely with an applied science team to integrate cutting-edge algorithms into production systems that directly impact millions of daily active users.

In this role, you'll oversee the development of software and services that power critical discovery features including recommendations, search, feed ranking, and notification relevance—helping creators connect with their audiences and viewers discover content they love.

You can work from Twitch’s headquarters in San Francisco, CA.

You Will:

• Build the systems that provide the critical connection between viewers and creators within the Twitch ecosystem
• Design and run consumer-scale services powering recommendations, ranking, and search results for tens of millions of users a day
• Power and enable ML applications at scale
• Partner with applied scientists and other engineering teams to design ML-powered systems that effectively solve customer problems
• Drive the professional growth and career advancement of team members through structured development planning, mentorship, and strategic talent management
• While driving the most prominent scenarios directly, you’ll also partner with stakeholders across the company integrating recommendations into their product features 

You Have:

• BA/BS in computer science or equivalent industry experience
• 3+ years of experience as software engineering manager
• 5+ years of working in software engineering
• Development experience in one or more general purpose programming languages such as: Golang, Python, C/C++, Java
• Experience designing or architecting (design patterns, reliability, and scalability) of new and existing systems
• Proven ability to identify user needs and deliver customer-centric product solutions
• Experience developing and running large-scale consumer services

Bonus Points

• Familiarity in the AWS ecosystem of service
• Experience utilizing Agile development methodologies
• Experience building or partnering to build ML-driven products (highly desirable)
• Experience working with logging and both offline and online data pipelines
• Experience in hiring, mentoring/coaching and managing teams of software engineers
• Experience with full-stack or front-end development
• Familiarity with Twitch, either as a viewer or creator (or both!)

Perks

• Medical, Dental, Vision & Disability Insurance
• 401(k)
• Maternity & Parental Leave
• Flexible PTO
• Amazon Employee Discount

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

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

Job ID: TW9048

Manifold Bio is a platform biotechnology company pioneering AI-guided protein design and massively multiplexed in vivo screening to unlock tissue-targeted medicines and organism-scale models of living systems. Using proprietary molecular barcoding technology, we screen hundreds of thousands of protein designs simultaneously in living systems, producing in vivo-validated datasets at a scale no one else can match. The datasets power our computational models, which leads to better drug designs, creating a flywheel that gets stronger with every campaign. Our team of protein engineers, biologists, and computational scientists works across this full stack to pursue programs both internally and with leading pharma companies.

Position

Manifold Bio is seeking a Product Manager to serve as the internal product owner for our AI projects, leading the roadmap across key domains including protein design, foundation models, reasoning models, agents, and infrastructure. This role covers both  internal product management and liaising with AI / tech partners., Internal responsibilities include interfacing with the AI team and R&D project managers to translate ambitious AI x biology ideas into shipped internal products and platform capabilities. External responsibilities include developing and nurturing relationships with external AI teams and partners, with an opportunity to flex into business development and strategic transactions. This role works closely with our co-founders, AI/ML leadership, and BD team to turn cutting-edge capabilities into durable platform assets.

Responsibilities

• Define the product vision, roadmap, and success metrics for Manifold’s AI platform capabilities, including protein design, foundation models, and agents
• Translate internal R&D and AI x biology ideas into concrete requirements and run the operating cadences that drive decisions and accountability
• Own Manifold's strategy for engaging the AI ecosystem; decide which partners to prioritize, what to build with each, and how to sequence engagements
• Coordinate cross-functional execution across AI/ML, protein engineering, biology, and platform teams for partnerships and platform development
• Source, qualify, and close new AI partnership opportunities, leading exploratory conversations through to signed scope
• Own the quality of all external deliverables including reports, decks, and demos, and produce executive-ready memos to align internal stakeholders

Required Qualifications

• 2-5 years of product management, technical program management, alliance management, or BD experience, with at least part of that in AI/ML or computational product environments
• Bachelor's degree in a technical field (CS, engineering, biology, or related); advanced degree a plus
• Demonstrated ability to own complex, ambiguous strategic relationships and drive them to concrete value generating outcomes
• Strong working knowledge of modern AI/ML concepts (foundation models, training and evaluation, agentic systems, scaling laws) and how they apply to scientific and industrial problems specific to drug discovery 
• Familiarity with biology, protein engineering, drug discovery, or another applied scientific domain
• Exceptional written communication; ability to produce executive-ready memos, decks, and external deliverables independently
• Track record of running cross-functional execution in matrixed organizations and shipping on aggressive timelines
• Comfort operating in high-ambiguity, fast-evolving partnerships where the product itself is being defined as you go
• Demonstrated handle of agentic coding skills; e.g. ability to rapidly run analyses / generate figures

Preferred Qualifications

• Experience building or shipping products at a frontier AI lab, AI infrastructure company, or AI-first startup
• Experience structuring partnership terms in collaboration with BD and legal (data rights, IP, joint roadmaps)
• Public writing, talks, or other evidence of unusually strong communication ability
• Experience scaling a partnership function or building partnership operating processes from scratch

If you’re excited to use unique protein technologies to shape an innovative drug development strategy, build meaningful industry partnerships, and contribute directly to our mission of advancing breakthrough treatments, please apply!

Base Salary Range: $165K-275K

This reflects the typical offer range for this role, based on experience, role scope, and internal equity. Final compensation decisions are made using a consistent leveling framework and consider the candidate’s experience, interview performance, and expected impact.

This role is eligible for:

• Annual performance-based target bonus
• Stock options
• Comprehensive medical, dental, and vision coverage
• 401(k) plan
• Flexible paid time off and holidays
• Perks including on-site gym, onsite lunch, and commuter support

Our compensation ranges are reviewed annually to ensure alignment with market trends and internal equity.

Available location(s): Austin, Texas, San Francisco, CA

About the Role

The Customer Advocacy Intern will support the team responsible for building, managing and growing customer marketing programs. Reporting to the Head of Customer Advocacy, the ideal candidate will be interested in a focus on both customer engagement and scaling customer programs in high growth SaaS companies. This is a fantastic opportunity to join a high growth company with a mission to help build a better Internet. You will shadow the Customer Advocacy Managers cross functionally and globally in building customer participation with enterprise customers across many industries and partnering closely with stakeholders in Sales, Customer Success, Marketing, Product, and PR/AR. 

The candidate is an entry level intern who will work closely with the global Customer Advocacy team, who are driving all Customer Marketing and Customer Advocacy programs. Success is measured by the ability to drive forward efficiently and at the speed of the business, focused on quantity and quality of content, deep engagement with top accounts, brand equity, and levels/titles of participating customers.

The main projects are:

Customer References:
Support and fulfill sales 1:1 and RFP requests for customer references working across customer advocacy and account teams
Manage/track customer references requests via customer marketing tools
Support customer reference requests from key stakeholders across events, campaigns, product, analyst, and public relations teams 

Customer Advocacy: 
Qualify, develop and maintain a targeted pipeline of strategic customer relationships 
Manage and qualify incoming nominations  
Contribute to the development of high quality, world-class customer story content

Advisory Boards and Councils: 
Shadow the process and contribute to our customer advisory boards/councils 
Coordinate across many teams and executives, pre/post event success  
Develop documents and reporting pre/post event
Assist in onsite, in-person, best-in-class customer experiences 

Responsibilities

• Collaborate with the GTM teams to develop and execute customer marketing strategies that align with business goals.
• Support the research, writing, and editing of engaging case studies, customer interviews, and other marketing collateral.
• Learn and support marketing and customer advocacy tech stack.
• Contribute to planning and brainstorming sessions, bringing creative ideas and new efficiencies using AI to the table.
• Support the team in analyzing advocacy activity performance and identifying opportunities for improvement.
• Contribute to monthly and quarterly reporting, including newsletters

Skills & Qualifications

• Currently pursuing a degree in Journalism, English, Marketing, Communications, or a related field.
• Available for a full-time 12-week internship, working from our Austin or San Francisco office 3-5 days a week during the summer (May-Aug).
• A strong portfolio showcasing your writing samples across different formats (e.g., blog posts, articles, essays).
• Ability to write clearly, concisely, and adaptably for various digital platforms and audiences.
• Strong project management skills.
• Strong research skills and a keen eye for detail.
• Excellent communication and collaboration skills.
• Curiosity and a proactive approach to learning and problem-solving.
• A passion for technology and its impact on the internet is desirable.

Compensation

Compensation may be adjusted depending on work location.

• Estimated hourly pay of $24/hour.

You can check out our internship blogs to learn more about our program and hear directly from our past interns.

The Role & Your Mission

We are seeking a Senior Product Designer to join a lean, high-impact design team reporting to the Design Director. You will be working across the product portfolio - building an AI-first platform for managing the drug development regulatory lifecycle. We aim to build a product that is as delightful, distinctive, and intuitive as it is powerful, and we are looking for a designer who is adept at untangling complex workflows, understanding multi-stakeholder product ecosystems, and bringing a system design lens to the design craft.

What You'll Own

Product Area Leadership
You’ll own the end-to-end design for a dedicated product area—from discovery through launch and iteration. You’ll deeply understand user workflows, define clear experience principles, and deliver thoughtful solutions that balance user needs with business impact. You’ll proactively shape direction, not just execute against requirements.

Cross-Functional Collaboration
You’ll be a core member of your squad, contributing to strategy, roadmap discussions, and decision-making. You’ll communicate clearly, align stakeholders, and ensure design is integrated seamlessly into product and engineering processes. Your work will help the team move faster and make better decisions.

User Research & Insight
You’ll go deep on our users—their goals, motivations, constraints, and pain points. You’ll lead and synthesize qualitative research, usability testing, and behavioral insights, translating findings into clear, actionable direction for your team. You’ll ensure we are consistently building the right solutions for real user needs.

UX Architecture & Interaction Design
You’ll define user journeys, information architecture, and interaction models across complex workflows. You’ll simplify ambiguity, reduce friction, and ensure experiences are intuitive, efficient, and scalable as the product evolves.

High-Quality Product Craft
You’ll deliver polished, production-ready interfaces with strong attention to layout, typography, hierarchy, and detail. You’ll maintain a high bar for visual and interaction quality while ensuring consistency across your product area.

Design System Evolution
Contribute to the evolution of the design system to ensure speed, consistency, and scalability. You’ll identify gaps, propose improvements, and contribute new patterns and scalable interaction models as the product grows, ensuring the system remains a strategic asset that supports both velocity and craft.

AI-Powered Design & Product Innovation
You’ll integrate AI into both your workflow and the product experience itself. You’ll leverage AI-powered design and research tools to accelerate exploration, synthesis, and iteration while maintaining a high bar for usability and craft. You’ll design AI-native experiences that account for probabilistic outputs, feedback loops, trust, transparency, and human oversight. 

What You’ll Bring

Full Stack Design Expertise
You bring 7+ years of experience in product design, ideally within B2B SaaS environments. You’re comfortable owning the full lifecycle—from discovery and research through execution and post-launch iteration—and can operate independently within a fast-moving team.

Strong Product & Systems Thinking
You connect user needs to measurable business outcomes and think holistically across workflows and platforms. You understand how scalable systems enable teams to move faster without sacrificing quality.

Design System Experience
You have experience contributing to or owning a design system in a production environment. You understand component-based design, governance, and close collaboration with engineering to ensure consistency and scalability.

AI Maturity
You have hands-on experience working with modern AI-powered tools and understand how to integrate them effectively into the design workflow. You’re comfortable designing for AI-driven features and navigating ambiguity, model variability, and edge cases.

B2B & Complex Workflow Experience
You’ve designed data-rich, workflow-heavy products, ideally in technical, scientific, or regulated industries. Experience in life sciences, biotech, or related fields is a strong plus.

Craft, Curiosity & Ownership
Your portfolio demonstrates strong visual craft and attention to detail. You’re an inquisitive empath who cares deeply about user experience and continuously seeks better solutions. You move work forward proactively, make thoughtful tradeoffs, and bring your team along through clarity, strong communication, and leadership.

What We Offer

🎯 The opportunity to work at a modern, cutting-edge healthcare technology company devoted to meaningful positive impact on human life. Collaboration, velocity, and customer obsession are our baseline, demonstrations of craftsmanship and ROI are celebrated.

🏆 Competitive salary ($150,000 - $185,000) and equity packages.

🧬 Comprehensive health, dental and vision insurance

🏝️ Take care of you and yours: generous PTO, parental leave, OneMedical, TalkSpace, Teladoc.

🚀 Career development opportunities within a company entering a growth phase.

🌎 Hybrid in San Francisco with in-office days Tues/Wed/Thurs and flexibility to work remote Mon/Fri.

Scale is at the forefront of powering artificial intelligence. We believe that trust in AI is earned with high-quality data for training, fine-tuning, and evaluating AI systems. Our products are transforming how organizations build and deploy AI. Our customers are the world’s most innovative model developers and enterprise and public sector entities looking to apply AI in their organizations.

Come join us and work on the most exciting legal issues at the leading edge of artificial intelligence. We're seeking a thoughtful, multidisciplinary Associate General Counsel, Product & Privacy, to be a strategist and thought partner to our business teams in creating the next-generation platform for AI development. This lawyer will lead product and privacy legal initiatives for our cutting-edge products and will report to Scale’s Senior Director and Associate General Counsel responsible for product counsel, privacy, and other areas.

The ideal candidate will have a technology background; privacy expertise and fluency in AI, intellectual property, and consumer protection law; experience providing strategic legal guidance that advances data-driven business goals while facilitating regulatory compliance, managing legal risk, and enhancing customer trust; and a demonstrated ability to partner well with cross-functional teams, including superlative communication, collaborative problem-solving, initiative, empathy, urgency, and focus.

You will:

• Identify and manage legal risks in product development, including privacy, regulatory, licensing, intellectual property, and others.
• Develop the product and privacy legal functions, with a focus on maturing, operationalizing, and scaling legal support in these areas.
• Partner closely with technical and non-technical teams, including Product, Engineering, Operations, and Security, to future-proof key strategic initiatives involving customer data, payments, and responsible AI.
• Be a subject matter expert – for both business partners and the Legal team – on US and global privacy laws and other laws related to products you support.
• Build positive and influential relationships with Scale product leadership, and cross-functional partners regarding regulatory matters that impact our products.
• Help advance the General Counsel’s and Product and Privacy Legal team’s strategic vision across the company
• Develop creative solutions, in partnership with Legal and Product stakeholders, for how legal frameworks can support new products and customer experiences. 
• Support the drafting and negotiation of commercial agreements, including data protection agreements and others related to your products and services.
• Help ensure that Scale and its affiliate companies comply with global privacy and data protection laws and emerging new laws, including the CCPA, GDPR, and other data protection and AI requirements.
• Work hands-on with business and product teams to ensure that privacy is embedded into Scale’s products and processes by design and to implement best-in-class privacy and compliance.

Ideally you'd have:

• 9+ years of legal experience, with a focus on emerging technologies and privacy and data protection counseling.
• Expertise in US and global privacy regulations.
• Familiarity and experience with launching products and advising on the legal and regulatory aspects of product development in the technology space.
• Fluency in translating legal advice into actionable guidance for Product, Engineering, and Operations teams.
• Ability to think strategically at a high-level and from deep in the details, in order to drive complex problem solving and develop creative, business-forward solutions .
• Ability to calibrate risk, distinguish business from legal risk, and communicate it clearly to business and technical audiences.
• A roll-up-your-sleeves attitude to tackle projects large and small with a low-ego approach to collaborating across the organization.
• Deep interest in artificial intelligence, generative AI, and machine learning technology and applications.
• Excellent organizational and communication skills.
• JD and a member of a state bar in good standing.

Nice to haves:

• Familiarity with the legal and ethical implications of AI, and the technical aspects of AI systems, including large language models and machine learning.
• Experience developing a privacy program.

At Scale, we develop reliable AI systems for the world’s most important decisions. Scale’s product marketing team is responsible for developing and executing strategies that drive awareness and adoption for Scale’s offering. 

We understand our customers’ needs and challenges and ensure that their voices are reflected in product development and messaging. We then partner closely with product, engineering, research, sales, comms,  and the broader marketing team to create a cohesive customer experience across all our channels. 

This role sits at the center of Scale’s GenAI data products, which power the world’s leading AI labs. As one of the largest providers of high-quality AI training data, we’ve built our reputation on speed, quality, frontier research, and a growing suite of multimodal data capabilities. 

The market is evolving fast, and we’re looking for a marketer who can go on offense to sharpen our narrative and build a playbook that earns the trust of the AI community. The ideal candidate combines strategic thinking with hands-on execution.

You will:

• Own positioning and messaging for Scale’s GenAI data products, articulating our differentiation on data quality, delivery speed, and multimodal breadth in a way that resonates with AI researchers and technical buyers.
• Lead the content and social strategy for Scale Labs’ dedicated online presence, taking a research-native approach that earns attention and credibility from the AI community.
• Build and maintain competitive intelligence and a sharp point of view on the data market, arming the team with differentiated positioning as the market evolves.
• Partner with Scale Labs researchers to amplify published work - leaderboards, benchmarks, and research papers - and translate it into pipeline and demand generation for the GenAI business
• Develop go-to-market strategies for new data offerings and modalities, working closely with product and sales to drive awareness and build market momentum.
• Collaborate cross-functionally with sales, engineering, and research to ensure consistent, compelling messaging across every customer touchpoint.

Ideally, you’d have:

• 5+ years of experience in product marketing, with a track record of marketing technical products to developer or research audiences.
• Strong technical fluency and passion for AI. You can hold a credible conversation about AI/ML fundamentals, training, and the role of data quality in model performance.
• Experience building social-native content and community strategies on platforms like X, with an instinct for what resonates with technical practitioners
• Excellent written communication and storytelling skills — you can make complex technical concepts compelling without oversimplifying them.
• Ability to work across functions and move fast in a dynamic, high-stakes environment.

Nice to haves:

• Familiarity with the AI training data market, or adjacent data and infrastructure spaces.
• An existing network or relationships within the AI research community.
• Experience navigating competitive markets where differentiation requires more than feature comparisons.

About This Role

CoreWeave is building one of the world's largest AI-focused cloud infrastructure platforms. We're standing up new data centers at an extraordinary pace, and the complexity of planning, tracking, and orchestrating each build demands purpose-built tooling that doesn't exist today.

We're forming a new team dedicated to building that tooling in-house. The goal: a high-performance internal platform that gives network engineers, fleet engineers, and operations teams the ability to plan, visualize, and manage massive amounts of physical infrastructure across dozens of sites.

As the founding frontend engineer on this team, you'll own the UI layer for these tools. You'll work alongside backend engineers to build applications that handle the full scope of datacenter infrastructure: network switches, GPUs, servers, optical transceivers, PDUs, cooling systems, cable cutsheets, rack elevations, overheads, and more. Performance is non-negotiable. These tools need to render and interact with millions of objects per build without breaking a sweat.

You'll make foundational technology decisions, establish the patterns and architecture that the team builds on, and have a direct hand in how quickly CoreWeave brings data centers online.

What You'll Build

• Extremely high-performance interfaces for visualizing and planning datacenter infrastructure, often rendering massive amounts of structured records (device inventories, cable plans, rack assignments, power allocations) with sub-second interaction and filtering.
• Interactive planning tools for rack elevations, floor layouts, power distribution, and network topology that let engineers design, model, and validate builds before physical work begins.
• Data-dense views and dashboards that serve as the authoritative source for build planning and asset tracking across CoreWeave's global footprint.
• The frontend architecture from the ground up: component library, state management, data fetching patterns, and build tooling designed to scale with the team and product scope.
• Tight integrations with backend APIs (likely gRPC, GraphQL, or REST), collaborating closely with backend engineers to shape API contracts that support the performance and data complexity the UI demands.

What We're Looking For

Core Technical Skills

• Deep proficiency with TypeScript and React. You should be the kind of engineer who understands React's rendering model at a low level and can make deliberate decisions about when and how components re-render.
• Demonstrated experience building interfaces that handle large, complex datasets with extreme performance requirements: virtualized rendering, canvas or WebGL-based visualization, efficient DOM management, or similar techniques.
• Strong understanding of frontend architecture: component design, state management (particularly for complex, interconnected data models), data fetching and caching patterns, and build tooling.
• Experience designing and consuming APIs with attention to type safety, pagination, caching, and error handling.
• Track record of frontend performance optimization: bundle analysis, runtime profiling, and making data-heavy UIs feel fast under real load.

Domain & Problem-Solving

• Genuine curiosity about (or direct experience with) physical datacenter infrastructure. The ideal candidate has a working understanding of servers, GPUs, network switches, optical transceivers, structured cabling, power distribution, and cooling. You don't need to be a network engineer, but you should be someone who finds this domain interesting and wants to understand how these systems relate and fit together.
• Ability to work directly with infrastructure engineers (the end users of what you build) to understand their workflows, identify pain points, and translate complex operational processes into clean, usable interfaces.
• Comfort working on a newly formed team where you'll be making early architectural decisions that compound over time. We need someone who is deliberate about tradeoffs and can move quickly without being reckless or sacrificing performance.

Experience & Leadership

• 7+ years of professional frontend engineering experience, with meaningful senior-level ownership of production systems. For Staff level: demonstrated ability to make foundational architectural decisions and influence technical direction beyond your immediate team.
• Strong communication skills. You'll be working across network engineering, fleet engineering, operations, and design. You need to explain technical decisions clearly and advocate for frontend concerns in cross-functional discussions.
• Strong sense of ownership for the systems you build and the people who depend on them.

Nice to Have

• Direct experience with datacenter operations, infrastructure planning, or familiarity with DCIM tools like NetBox or Sunbird.
• Experience working alongside backend teams writing Go, and comfort collaborating on API design across the stack.
• Exposure to Infrastructure-as-Code, Kubernetes, or cloud platform concepts. You won't be directly deploying infrastructure, but understanding the ecosystem helps you build better tools for the engineers who do.
• Experience with frontend observability, CI/CD pipelines, and modern build systems. We're building this team's practices from scratch, and having strong opinions about how to ship tooling matters.
• Familiarity with authentication, authorization, and frontend security best practices for internal tooling.

Why This Role Is Different

This isn't maintaining a mature product or building another CRUD application. You're building the infrastructure planning and visualization platform for one of the fastest-growing cloud providers in the world. The data is real and physical, the problems are tangible, and the tools you build will directly determine how quickly we can bring new AI capacity online.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! 

The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

About the Engineering Team

As part of our Engineering team, you will help build and evolve the monitoring stack for industrial robotic systems. We are rethinking how these systems are designed, deployed, and maintained—and we’re looking for engineers who challenge the status quo.

Our work sits at the intersection of AI, modern robotics, and scalable software systems. We aim to make industrial robotics more intelligent, reliable, and easier to operate.

We are an AI-first development team, leveraging cutting-edge tools and practices to move quickly while maintaining strong safety and reliability standards in production environments.

What You’ll Do

As a Full Stack Software Engineer, you will:

• Design and develop backend infrastructure powering our robotics platform, including:
  • System provisioning
  • Data collection pipelines
  • Monitoring and remote troubleshooting
  • AI-driven fleet intelligence
• Collaborate closely with robotics engineers to design robust interfaces between hardware and software systems
• Build software across both edge and cloud environments to enable reliable data ingestion, processing, and system orchestration
• Provision and manage cloud infrastructure (primarily AWS)
• Write unit and integration tests to ensure system reliability and maintainability
• Participate in Agile/Scrum ceremonies and contribute to team planning and execution

What Makes You a Great Fit

• Bachelor’s degree in Computer Science (or equivalent practical experience)
• 5+ years of experience in full stack software development using Python and modern frontend frameworks (React, React Native, or similar)
• Experience building and operating complex distributed systems (IoT, robotics, automotive, or similar domains preferred)
• Hands-on experience developing AI-enabled applications or workflows
• Strong understanding of Linux systems
• Experience with AWS (AWS IoT experience is a plus)
• Familiarity with observability and monitoring tools (e.g., Grafana, Datadog)
• Experience working with video streaming systems is a plus