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cellular data automation engineer

OpenAI

<div>
 
 About The Team
 
 
 
 The Support Automation team at OpenAI scales the organization by applying cutting-edge AI models to real-world challenges, automating and enhancing work across the organization. From customer operations to engineering, we develop an ecosystem of automation products that empower our colleagues and drive impact. We're passionate about crafting products that serve those around us, blending rapid prototyping with a focus on long-term quality and reliability. By creating reusable solutions, we create patterns that can be applied across diverse domains within OpenAI.
 
 
 TLDR: this team leverages OpenAI technology to improve OpenAI, and you&rsquo;ll have the opportunity to leverage the full extent of our tech (both public and pre-released) to accomplish this mission.
 
 
 
 About The Role
 
 
 
 We&rsquo;re looking for a
 
 Backend Software Engineer
 
 with experience working in ML/LLM-heavy domains to help to design and build an evals infrastructure that measures the quality of OpenAI&rsquo;s support automation. This is a deeply technical and highly cross-functional role where you&rsquo;ll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI. The role will especially focus on working closely with Data Science and Research partners to design and build evals at scale.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Design eval pipelines that are reliable, reproducible, and extendable
 </li>
 <li>
 Build the infrastructure for continuous eval monitoring frameworks (regression/drift monitoring, building robust golden datasets) along with feedback loops that ultimately strengthen support automation
 </li>
 <li>
 Design, build, and maintain backend services and APIs to support intelligent automation and knowledge systems
 </li>
 <li>
 Integrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows.
 </li>
 <li>
 Collaborate closely with data, research, and engineering teams to integrate OpenAI models into high-leverage workflows
 </li>
 <li>
 Own the full development lifecycle of new backend systems and internal platform capabilities
 </li>
 <li>
 Build with scale and maintainability in mind, while rapidly iterating on new ideas
 
 
 </li>
 </ul>
 
 You Might Be a Great Fit If You Have
 
 
 
 <ul>
 <li>
 4+ years of backend engineering experience at product-driven companies (excluding internships)
 </li>
 <li>
 Proficiency in backend technologies. Our tech stack includes Python, FastAPI, and Postgres
 </li>
 <li>
 Experience designing and scaling distributed systems, APIs, or data processing pipelines
 </li>
 <li>
 Have experience building AI agents or applications, including designing evals and improving performance through prompting or scaffolding
 </li>
 <li>
 Are familiar with evaluation methods for LLMs and have worked with patterns like multi-agent workflows, tool use, or long context.
 </li>
 <li>
 Experience creating production evals and/or measuring performance of ML/LLM models at scale
 </li>
 <li>
 A pragmatic mindset. You&rsquo;re comfortable shipping iteratively while building toward a long-term vision
 
 
 </li>
 </ul>
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
 
 Compensation Range: $230K - $385K
 
 
</div>

Backend Software Engineer (Evals)

HARVEY

<div><div><h2 class="jobSectionHeader">Location</h2>
San Francisco
</div><div><h2 class="jobSectionHeader">Employment Type</h2>
Full time
</div><div><h2 class="jobSectionHeader">Location Type</h2>
Hybrid
</div><div><h2 class="jobSectionHeader">Department</h2>
Engineering
</div><div><h2 class="jobSectionHeader">Compensation</h2>
<ul><li>$161.3K &ndash; $241.9K &bull; Offers Equity &bull; Offers Bonus</li>
</ul><div>Additionally, this role is eligible to participate in our equity plan and benefits program. Benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits (401k match up to 4%), and flexible PTO.</div></div></div>
 <div><h1 class="jobSectionHeader">Why Harvey</h1>
At Harvey, we&rsquo;re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we&rsquo;re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We&rsquo;re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth &mdash; personal, professional, and financial &mdash; is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission &mdash; operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today &mdash; and we&rsquo;re just getting started.
<h1 class="jobSectionHeader">Role Overview</h1>
Harvey is building the AI platform trusted by the world&rsquo;s leading law firms and enterprises. Our infrastructure is the foundation that powers every customer interaction, every model inference, and every production workload.
We&rsquo;re looking for a Production Engineer to help build and operate Harvey&rsquo;s core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations. You&rsquo;ll work on the systems that enable engineering teams to move quickly and operate reliable services at scale.
In this role, you&rsquo;ll improve the reliability, scalability, security, and efficiency of Harvey&rsquo;s infrastructure platform. You&rsquo;ll solve complex production challenges across compute fleet management, capacity planning, infrastructure automation, and production operations. You&rsquo;ll partner closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey&rsquo;s rapid growth.
At Harvey, we value Decisiveness, Simplicity, and the belief that Job&rsquo;s Not Finished. We move quickly, prioritize clarity, and continuously raise the bar for engineering excellence.
<h1 class="jobSectionHeader">What You'll Do</h1>
<h2 class="jobSectionHeader">Infrastructure Engineering &amp; Technical Leadership</h2>
<ul><li>Design, build, and operate the production infrastructure that powers Harvey&rsquo;s products and AI workloads.
</li><li>Drive technical direction across compute infrastructure, networking, Kubernetes, workflow orchestration, and production operations.
</li><li>Lead complex, cross-functional technical initiatives that improve reliability, scalability, security, operational efficiency, and infrastructure cost.
</li><li>Partner with Product Engineering, Security, AI Infrastructure, and Platform teams to translate product and business requirements into resilient infrastructure solutions.
</li><li>Establish reusable patterns, tooling, and paved paths that help engineering teams ship and operate production services safely.
</li><li>Raise the engineering bar through thoughtful design reviews, clear technical documentation, operational rigor, and mentorship.
</li></ul><h2 class="jobSectionHeader">Infrastructure Foundation &amp; Production Operations</h2>
<ul><li>Build and operate Harvey&rsquo;s global compute and network infrastructure, ensuring high availability, scalability, reliability, and performance.
</li><li>Improve compute utilization, performance, and service availability while supporting rapidly growing AI workloads.
</li><li>Develop capacity models, demand forecasts, and fleet lifecycle automation to help infrastructure scale efficiently with business growth.
</li><li>Operate and continuously improve Harvey&rsquo;s Kubernetes platform, including cluster provisioning, upgrades, networking, monitoring, reliability, performance, and operational automation.
</li><li>Drive infrastructure cost efficiency through capacity management, resource rightsizing, workload optimization, and utilization monitoring.
</li><li>Build secure infrastructure foundations, including identity and access management, network isolation, secrets management, auditing, and compliance controls.
</li><li>Develop scalable Infrastructure-as-Code and automation frameworks using technologies such as Terraform and Pulumi.
</li><li>Improve observability, monitoring, alerting, incident response, and operational readiness across the infrastructure platform.
</li><li>Participate in the on-call rotation, lead incident response when needed, and turn production learnings into durable engineering improvements.
</li></ul><h1 class="jobSectionHeader">What You Have</h1>
<ul><li>5+ years of software, infrastructure, site reliability, or production engineering experience.
</li><li>Deep experience building and operating large-scale cloud infrastructure on AWS, Azure, or Google Cloud Platform.
</li><li>Strong hands-on experience operating Kubernetes in production, including cluster lifecycle management, networking, and reliability.
</li><li>Experience building and operating distributed systems with strong reliability, scalability, and performance characteristics.
</li><li>Experience with infrastructure automation and Infrastructure-as-Code using tools such as Terraform or Pulumi.
</li><li>Strong understanding of compute infrastructure, networking, capacity planning, fleet management, and production operations.
</li><li>Experience designing and operating observability systems, including monitoring, logging, alerting, and incident response.
</li><li>Strong understanding of infrastructure security, including IAM, network security, secrets management, and compliance best practices.
</li><li>A track record of driving complex, cross-functional technical initiatives and influencing engineering decisions without relying on formal authority.
</li><li>Excellent communication skills and the ability to explain technical concepts clearly to engineering partners and other stakeholders.
</li><li>A systems-thinking mindset and a passion for building simple, reliable, and scalable infrastructure platforms.
</li></ul><h2 class="jobSectionHeader">Nice to Have</h2>
<ul><li>Experience supporting AI/ML or LLM infrastructure at scale.
</li><li>Experience operating GPU fleets, high-performance compute infrastructure, or large-scale capacity planning.
</li><li>Experience with multi-cloud infrastructure or hybrid cloud environments.
</li><li>Experience building internal platforms or developer tooling that improves engineering velocity and production safety.
</li></ul><h1 class="jobSectionHeader">Compensation</h1>
$161,300 - $241,900 USD
<h3 class="jobSectionHeader">Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices here.</h3>
#LI-AN2
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai</div>

Senior Software Engineer, Production Engineering

Faire

<div><div>About Faire

Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town &mdash; we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.

We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.</div>
About the role:

As a Senior Enterprise Security Engineer, you will help protect Faire's corporate environment across endpoint, network, identity, and SaaS, and play a key role in how we govern the safe use of AI across the company. You will apply secure-by-default standards, champion zero trust, and turn strategy into practical controls, automation, and guidance that teams adopt. Working across leadership pillars, you will help shape our AI governance approach and own much of how it gets put into practice. This is a role for someone who is strong hands-on and ready to grow their scope and influence across IT, Engineering, Legal, People, Finance, and Product.

What You'll Do:
<ul>
<li>Help shape and operate Faire's AI governance program: acceptable-use standards, data protection for AI tools, vendor and model risk review, and safe patterns for AI-assisted work (including agent and MCP-based integrations).</li>
<li>Partner with IT teams to harden endpoint management, corporate infrastructure, identity services, and networking.</li>
<li>Design and implement controls that protect company information from unauthorized access, disclosure, or misuse.</li>
<li>Support and help run our endpoint detection and response platform, email security stack, and phishing simulation and awareness programs.</li>
<li>Build the guardrails and enablement that let teams experiment with AI quickly without creating new exposure, partnering with Engineering rather than duplicating their work.</li>
<li>Advise employees on securing endpoints, office AV, and network gear, and publish clear runbooks.</li>
<li>Build and deliver training that grows a culture of security, accountability, and practical awareness.</li>
<li>Track emerging threats, including AI-specific risks, and make recommendations to improve our posture.</li>
</ul>
What It Takes:
<ul>
<li>5+ years in enterprise security with hands-on experience.</li>
<li>Practical experience in at least two of these areas: endpoint security, network security, data security, security operations, threat management, AI governance and security.</li>
<li>Exposure to enterprise AI governance and security (e.g. AI platform management, AI tool or MCP security review, prompt guardrailing), with the interest and ability to grow into owning more of it.</li>
<li>Experience writing policies and processes and supporting audits for frameworks such as ISO 27001, SOX, and SOC 2 Type II.</li>
<li>Strong written and verbal communication.</li>
<li>Analytical, outcomes-driven mindset with a bias for action.</li>
<li>Ability to influence others through empathy and relationship-building.</li>
<li>A passion for programming and solving problems with code (Python, Ruby, or Go).</li>
</ul><h4 class="jobSectionHeader">Salary Range:</h4>

San Francisco: the pay range for this role is $174,500 - $240,000 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.<div>
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. 

Why you'll love working at Faire
<ul>
<li>Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.</li>
<li>Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.</li>
<li>Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.</li>
<li>Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.</li>
<li>Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.</li>
</ul>
Faire was founded in 2017 by a team of early product and engineering leads from Square. We're backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.

Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.

Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)

Privacy

For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire's Privacy Notice (https://www.faire.com/privacy)</div></div>

Senior Enterprise Security Engineer

Artificial Analysis

<div>Job Description &ndash; Member of Technical Staff
Location: San Francisco (preferred), Sydney, Melbourne, Brisbane
About Artificial Analysis
Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks don&rsquo;t just measure the cutting edge of AI, they are actively shaping the frontier.
Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist.
We are a team of 40+, on track to double by end of year, backed by Nat Friedman (GitHub, Meta), Daniel Gross (SSI, Meta), Andrew Ng (Google Brain, DeepLearning.ai, Amazon), Adam D&rsquo;Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders.
The Opportunity
Our benchmarks and analysis are what the industry turns to when they need to understand AI capabilities, from AI labs and enterprises to media, investors, and policymakers. This role puts you at the forefront of the AI Frontier &ndash; you won&rsquo;t just observe the cutting edge of AI, your work will define what cutting edge means.
We&rsquo;re hiring Members of Technical Staff to design the evaluations that set the standard for how AI is measured, produce analysis that shapes how companies and the broader industry understand AI, and work directly with the leading AI labs and enterprises who rely on our insights. You&rsquo;ll develop new benchmarking methodologies, manage relationships with some of the most important AI labs and enterprise customers in the world, and help drive the product direction of our platform. The bar for success is becoming a world expert in modern AI technologies.
This is a unique combination of product, research, technical, and client-facing work, suited to highly driven technical generalists who thrive on breadth and ownership. Many of our strongest team members come from top-tier strategy consulting backgrounds, though we hire from a range of disciplines.
You&rsquo;ll work directly with our founders and across the full team. The people who join now will have an outsized role in shaping both our products and the company itself. The coming wave of AI scaling is going to change the world in ways we don&rsquo;t yet understand - and we&rsquo;re offering a front row seat.
What You&rsquo;ll Do<ul><li>AI Benchmarking Product Development: Structure, design and execute projects to evaluate AI systems and technologies, including developing new AI evaluation methodologies and datasets that advance our benchmarking capabilities</li><li>Strategic Analysis of AI: Drive developing reports and data visualizations to communicate complex AI concepts to enterprises looking to shape their AI strategy</li><li>Partner with Leading AI Companies: Collaborate with leading AI companies to support them in benchmarking their technologies, from agentic AI applications to models to hardware. This also requires identifying opportunities to enhance our leading AI benchmarking platform and working with our developers to make it happen</li><li>Become AI-Native: Embrace an AI-native workflow, using cutting-edge AI tools to generate leverage in a fast-changing industry and maintain our competitive edge in AI benchmarking</li><li>Company Strategy: We are a startup and are looking for the future leaders of Artificial Analysis. Team members will be expected to contribute to company strategy and should expect to drive large initiatives that will support us in being the leading AI benchmarking company</li></ul>
What We&rsquo;re Looking For
You have an intense interest in AI, a genuine desire to become a world expert in the field, and strong analytical and coding skills to back it up.
We hire MTS from three backgrounds. You should clearly fit one of these profiles:
Strategy Consulting
Backgrounds include: Management Consultant, Associate, Engagement Manager, Data Scientist, or similar roles at firms like McKinsey, BCG, Bain, or equivalent. Strong preference will be given to candidates with experience within a Data Analytics division such as QuantumBlack, AI by McKinsey, BCG X or equivalent.
You know how to structure ambiguous problems, build analytical frameworks, and communicate findings to senior stakeholders. You&rsquo;re now looking to apply those skills to something deeply technical. The key differentiator: you have a genuine technical interest in AI and ability to code. You follow model releases, you have opinions on where the technology is heading, and you want to be closer to the subject matter than consulting allows.
AI and Machine Learning
Backgrounds include: ML Engineer, ML Researcher, AI Engineer, Forward Deployed Engineer, Technical PM, Solutions Engineer, Technical Pre-Sales, or similar roles at AI companies or AI-focused teams.
You have hands-on experience with modern AI systems and understand how models work at a technical level. You&rsquo;re looking for a role with more breadth and industry exposure than a pure research, engineering, or PM position, where you can combine technical depth with client-facing work and strategic analysis.
Technical Product Management
Backgrounds include: Founding Engineer, Product Manager, Technical Co-founder, Head of Product, or generalist roles at early-stage AI companies.
You&rsquo;ve built and shipped AI products in a fast-moving environment where you had to operate across research, engineering, product, and commercial work simultaneously. You understand both how AI systems work technically and how they get brought to market. You&rsquo;re looking for a role where that breadth is the job, not a side effect of being early at a small company.
Across all three profiles, we require:<ul><li>3+ years of relevant professional experience</li><li>Strong analytical and critical thinking skills</li><li>Proficiency in Python and data analysis</li><li>Genuine, demonstrable interest and knowledge of Frontier AI. We want people who have informed opinions about where AI is heading, not just people who use AI tools</li></ul>
Why Artificial Analysis?<ul><li>Shape how AI gets built: The leading AI labs track our benchmarks and use them to guide their development priorities. Your work will directly influence the direction of AI.</li><li>Become a world expert in AI: You will evaluate every major model, across every major capability, as they are released. Very few roles offer this breadth of exposure to frontier AI.</li><li>Work with the most important players in AI: You&rsquo;ll manage relationships with teams at the leading AI labs and major enterprises as a trusted, independent voice.</li><li>Join at a defining moment: We&rsquo;re 40+ people, on track to double by end of year, backed by some of the most connected investors in AI. The people who join now will shape the product, the team, and the strategy as we scale.</li><li>Competitive compensation including equity</li></ul>
1</div>

Member of Technical Staff

SERVAL

<div><h1 class="jobSectionHeader">Who We Are</h1>
Serval is an AI-native automation platform transforming how enterprises operate. We build intelligent agents that understand real-world workflows and execute them end-to-end &mdash; replacing manual processes and rigid legacy systems with adaptive, learning software. Founded in early 2024, Serval is already trusted by companies like Fox, Notion, Perplexity, Vercel, and Brex to automate high-volume, high-friction operational work across their organizations. 
 
At the core of Serval is an agentic AI platform that turns natural language into production-grade workflows. Our agents don&rsquo;t just respond to requests &mdash; they reason, take action across systems, and continuously improve with usage. What began with operational use cases has quickly evolved into a horizontal AI automation layer used across IT, HR, Finance, Security, Legal, and Engineering. 
 
Our mission is to eliminate repetitive, manual work across the enterprise and give teams leverage through intelligent automation. Long term, we&rsquo;re building the universal AI operations layer &mdash; a system of agents that sits across business functions and runs the workflows that keep modern companies moving. 
 
We&rsquo;re backed by leading investors including Sequoia Capital, Redpoint Ventures, Meritech, First Round, General Catalyst, Elad Gil, and others.
<h2 class="jobSectionHeader">About the role:</h2>
Serval is hiring a Product Marketing Manager to own how Serval shows up in the market: how we position the product, how we equip sales to win, and how we translate a fast-moving roadmap into stories buyers care about. You'll sit at the center of product, sales, and marketing, and you'll be a founding voice on the PMM function as it scales.
This is a builder role. You'll set the messaging foundation, run launches, and give the sales team the ammunition to close. If you want a defined playbook handed to you, this isn't the role. If you want to write the playbook, read on.<h2 class="jobSectionHeader">
What You'll Do:</h2><ul><li>
Own positioning and messaging for Serval: the narrative, the value props, and the differentiation against legacy ITSM and other AI point solutions. Make it sharp, make it true, make it repeatable.</li><li>
Lead product launches from tiering to GTM plan to execution, coordinating product, sales, and demand gen so releases land with customers and not just in a changelog.</li><li>
Build the sales enablement layer: pitch decks, one-pagers, battle cards, demo narratives, objection handling, and competitive intel that reps actually use.</li><li>
Become the resident expert on our buyers [IT, security, and ops leaders] and their world: their pain, their alternatives, their buying process. Turn that into messaging that resonates.</li><li>
Drive competitive intelligence: track the landscape, build the battle cards, and arm the field to win head-to-head.</li><li>
Partner with demand gen and content on campaigns, webinars, and thought leadership that move pipeline, not just impressions.</li><li>
Support pricing and packaging work with market and win/loss insight.</li><li>
Create customer-facing proof: case studies, ROI narratives, and reference content that make the value undeniable.</li></ul><h2 class="jobSectionHeader">
What you'll need:</h2><ul><li>
5+ years in product marketing, ideally in B2B SaaS sold to technical buyers [IT, security, DevOps, or infrastructure].</li><li>
A track record of owning positioning and launches end to end, not just contributing slides to someone else's plan.</li><li>
Strong writing. You can take a complex, technical product and make it clear, credible, and compelling to a busy executive.</li><li>
Deep comfort partnering with sales. You've built enablement that reps chose to use because it helped them win.</li><li>
Analytical instincts: you ground messaging in research, win/loss, and data, and you can tell the difference between a story that sounds good and one that closes.</li><li>
Bias to action and comfort with ambiguity. You thrive when the category is undefined and the answer isn't in a template.</li><li>
Bonus: experience with ITSM, IT operations, identity/access, security, or AI/agent products.</li></ul><h2 class="jobSectionHeader">
What We Offer</h2><ul><li>
Impact: Be a key player in shaping the success of our product and company.</li><li>
Growth: Build a fundamentally new AI product offering with the support of our experienced team and investors. Grow rapidly with the company.</li><li>
Culture: Join a culture that values innovation, ownership, accountability, and fun.</li></ul>
Compensation Range: $180K - $250K</div>

Senior Product Marketing Manager

Medallion

<div>
 
 About Medallion:
 
 
 
 At Medallion, we believe healthcare teams should focus on what truly matters - delivering exceptional patient care. That&rsquo;s why we&rsquo;ve built a leading provider operations platform to eliminate the administrative bottlenecks that slow healthcare organizations down. By automating licensing, credentialing, payer enrollment, and compliance monitoring, Medallion empowers healthcare operations teams to streamline their workflows, improve provider satisfaction, and accelerate revenue generation, all while ensuring superior patient outcomes.
 
 
 As one of the fastest-growing healthcare technology companies - ranked #3 on Inc. Magazine&rsquo;s 2024 Fastest-Growing Private Companies in the Pacific Region, #5 on LinkedIn's 2024 Top US Startups, a Glassdoor Best Place to Work in 2024 &amp; 2025, and featured on The Today Show - Medallion is revolutionizing provider network management. Our CEO, Derek Lo, has been named one of the Top 50 Healthcare Technology CEOs of 2024 by The Healthcare Technology Report. Backed by $130M in funding from world-class investors like Sequoia Capital, Google Ventures, Optum Ventures, Salesforce Ventures, Acrew Capital, Washington Harbour, and NFDG, we&rsquo;re on a mission to transform healthcare at scale.
 
 
 
 About the role
 
 
 
 As a Software Engineer, you will work closely with the team on a variety of high-impact projects, shipping production code during your very first week, getting steady exposure to a broad set of technologies, and rapidly taking on more responsibility. Expect to achieve massive personal growth and ship features that make a meaningful impact on the healthcare system. All on a supportive and experienced team of engineers, PMs, and designers.
 
 
 This role reports to one of our Engineering Managers and base compensation for this role may land between $145,000-$175,000. In addition to base salary, Medallion offers equity, and benefits as part of the total compensation package. Many factors are considered when determining pay including: market data, geographic location, skills, qualifications, experience, and level.
 
 
 
 What you'll do
 
 
 
 <ul>
 <li>
 Work on meaningful projects with business impact from your very first day.
 </li>
 <li>
 Scope and lead large projects, addressing ambiguity, creating plans, and ensuring technical excellence
 </li>
 <li>
 Help develop the team roadmap, balancing key technical and product tradeoffs
 </li>
 <li>
 Teach and mentor members of the engineering team, constantly modeling how great software should be developed
 </li>
 <li>
 Work within our tech stack, which includes Python and Django on the backend, and React, JavaScript, and TypeScript on the frontend
 </li>
 <li>
 Write a lot of code :)
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Have 2+ years of experience as a software engineer
 </li>
 <li>
 Have worked in multiple functional areas &ndash; frontend, backend, platform, services, data, or cloud infrastructure.
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 Have a strong technical foundation
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 Care deeply about both technical success and product success
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 Are an excellent communicator
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 Get things done
 
 
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 You might also have an interest in:
 
 
 
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 Are an excellent communicator
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 Get things done
 
 
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</div>

Software Engineer

Firecrawl

<div><h1 class="jobSectionHeader">Revenue Operations Lead</h1>
You'll architect the revenue systems that let Firecrawl scale without breaking. We're growing fast, and the difference between a company that scales cleanly and one that drowns in operational chaos is the revenue infrastructure underneath it: the CRM architecture, the funnel instrumentation, the lifecycle systems, and the reporting that tells us the truth about pipeline and revenue. This is a builder's role, not a maintainer's. You'll own that infrastructure end to end and design the systems that carry us from where we are now to the next order of magnitude. You'll report to our VP of Revenue and Success and own the revenue-systems function from day one.
Salary Range: $190,000-$240,000/year (Range shown is for U.S.-based employees in San Francisco, CA. Compensation outside the U.S. is adjusted fairly based on your country's cost of living.)
Equity Range: Competitive equity &mdash; details shared during the process.
Location: San Francisco, CA (Hybrid, on-site required)
Job Type: Full-Time
Experience: 4+ years in revenue operations or GTM systems, with hands-on ownership of CRM architecture and revenue data
Visa: Must already be authorized to work in the US or our eligible remote-hire regions. We're not able to sponsor visas right now, though that may change down the line.<h1 class="jobSectionHeader">
About Firecrawl</h1>
Firecrawl is the easiest way to turn the web into data AI agents can use. One API call converts any URL into clean, LLM-ready markdown or structured data - the boring-hard problem everyone building with LLMs eventually hits, solved.
We hit 8 figures in ARR in year one and more than doubled it in year two. We have 150k+ GitHub stars, and developers, agents, and category-defining AI companies build on us every day. Growth like this is rare, and we're just getting started.
We're a small team punching far above our weight. Everyone here owns a real piece of the product and company, end to end, and runs it themselves - no hiding behind process or headcount.
This is a place for people who want to work at the frontier: an AI company building the infrastructure other AI companies run on, not one bolting AI onto an existing product. We move fast, go deep, and are building the tools superintelligence will rely on to gather data from the web.<h1 class="jobSectionHeader">
What You'll Do</h1><ul><li>
Own and architect our CRM as the source of truth for revenue data, designing the system, not just operating inside one someone else built</li><li>
Instrument the full funnel end to end: lead to opportunity to customer, with attribution that actually holds up</li><li>
Build the lifecycle systems that move prospects and customers through stages cleanly, including handoffs and the automation that makes them work</li><li>
Own revenue tracking and reporting: build the dashboards and data models from raw data that give the team and founders real-time truth on pipeline, usage, churn, and expansion</li><li>
Design the revenue infrastructure to scale with us as we grow toward the next order of magnitude in ARR</li><li>
Partner with the VP of Revenue and Success, product, and finance on the systems and data that drive go-to-market decisions</li></ul><h1 class="jobSectionHeader">
What We're Looking For</h1><ul><li>
A technical GTM systems architect, not a growth generalist. You've designed CRM systems and revenue infrastructure from the ground up, and your first instinct is to look at systems and data flows, not tactics.</li><li>
Hands-on with revenue data. You can pull, model, and structure data yourself, SQL or equivalent, and build reporting that the team trusts to make decisions. You don't wait for a data team.</li><li>
You've instrumented funnels end to end. Lead-to-customer tracking with real attribution, not a dashboard someone else set up that you just read.</li><li>
You've built lifecycle and revenue-tracking systems that drove real motion. Not advised on them, built them, at a company that was scaling.</li><li>
You move fast and own outcomes. You'd rather ship a working system and iterate than design the perfect one on paper.</li></ul>
Backgrounds that tend to do well: founding or early RevOps hire at a SaaS, API-first, or PLG company; RevOps Lead/Manager or GTM Operations who owned CRM architecture and the revenue data layer; someone who built the revenue-systems function 0-to-1 as a company scaled.<h1 class="jobSectionHeader">
What We're NOT Looking For</h1><ul><li>
AI-automation growth-ops profiles, if your pitch is stitching tools together with automations rather than architecting the underlying systems, this isn't the role</li><li>
Head of Growth or growth-marketer profiles, this is a systems and data role, not a marketing or demand-gen role</li><li>
Pure marketing ops or pure sales ops without the cross-functional revenue lens</li><li>
Consultants, fractional operators, or anyone who's advised on revenue systems without building and owning them</li><li>
A pattern of short stints, we're looking for someone who's stuck with systems long enough to see them through</li></ul><h1 class="jobSectionHeader">
A Note On Pace</h1>
We operate at an absurd level of urgency because the window for what we're building won't stay open forever. If that excites you, keep reading. If it doesn't, no hard feelings &mdash; but this role probably isn't for you.<h1 class="jobSectionHeader">
Benefits &amp; Perks</h1><h2 class="jobSectionHeader">
Available to all employees</h2><ul><li>
Salary that makes sense &mdash; $190,000&ndash;$240,000/year, based on impact, not tenure</li><li>
Own a piece &mdash; Gain competitive equity in what you're helping build</li><li>
Generous PTO &mdash; 15 days mandatory, anything after 24 days, just ask (holidays excluded); take the time you need to recharge</li><li>
Parental leave &mdash; 12 weeks fully paid, for all parents</li><li>
Wellness stipend &mdash; $100/month for the gym, therapy, massages, or whatever keeps you human</li><li>
Learning &amp; Development &mdash; Expense up to $1,000/year toward anything that helps you grow professionally</li><li>
Team offsites &mdash; A change of scenery, minus the trust falls</li><li>
Sabbatical &mdash; 3 paid months off after 4 years, do something fun and new</li></ul><h2 class="jobSectionHeader">
Available to US-based full-time employees</h2><ul><li>
Full coverage, no red tape &mdash; Medical, dental, and vision (100% for employees, 50% for spouse/kids) &mdash; no weird loopholes, just care that works</li><li>
Life &amp; Disability insurance &mdash; Employer-paid short-term disability, long-term disability, and life insurance &mdash; coverage for life's curveballs</li><li>
Supplemental options &mdash; Optional accident, critical illness, hospital indemnity, and voluntary life insurance for extra peace of mind</li><li>
Doctegrity telehealth &mdash; Talk to a doctor from your couch</li><li>
401(k) plan &mdash; Retirement might be a ways off, but future-you will thank you</li><li>
Pre-tax benefits &mdash; Access to FSAs and commuter benefits (US-only) to help your wallet out a bit</li><li>
Pet insurance &mdash; Because fur babies are family too</li></ul><h2 class="jobSectionHeader">
Available to SF-based employees</h2><ul><li>
SF HQ perks &mdash; Snacks, drinks, team lunches, intense ping pong, and peak startup energy</li><li>
E-Bike transportation &mdash; A loaner electric bike to get you around the city, on us</li></ul><h1 class="jobSectionHeader">
Interview Process</h1>
Application Review &mdash; Send us your work and a quick note on why this excites you. Show us a revenue system you architected &mdash; a CRM you designed, a funnel you instrumented, a reporting layer you built from scratch. We care about what you've built, not where you went to school.
Intro Chat (~25 min) &mdash; A quick conversation to get to know each other before we go deep. We'll talk about what you've been working on, what drew you to Firecrawl, and what you're looking for in your next role. Time for your questions too.
Technical Chat (~45 min) &mdash; Walk us through a revenue system you designed and owned, then a live scenario: how you'd architect Firecrawl's revenue infrastructure to scale from where we are today. We're looking for systems thinking and hands-on depth, not frameworks.
Founder Chat (~25 min) &mdash; Culture, pace, ownership, and how you like to work. Time for your questions too.
Paid Work Trial (1-2 weeks) &mdash; Tackle a real revenue-systems problem: audit our current setup, identify the biggest structural gap, and build or design the fix. Paid at a contractor rate. It's the truest signal for both sides. Remote-friendly, and we'll flex around your current commitments.
Decision &mdash; We move fast after the trial.
If you want to architect the revenue systems behind one of the fastest-growing companies in AI infrastructure, you should join us.
Apply now.
Compensation Range: $190K - $240K</div>

Revenue Operations Lead

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