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associate forward deployed product manager

Fractional AI

<div><h1 class="jobSectionHeader">About Fractional AI</h1>
How do you turn a decades-old dataset into an industry-leading medical coding agent? Teach an AI receptionist to book appointments in Spanish? Automatically generate working data connectors from API docs? Build agents that write, test, and deploy their own software packages?
Fractional AI is a startup in the heart of Silicon Valley targeting the biggest greenfield opportunity in the economy: transforming companies with AI software at a scale the market is only beginning to understand. Our clients include Zapier, Airbyte, and companies from industries ranging from data infrastructure to healthcare and life sciences.
We were founded by repeat founders Chris Taylor, Eddie Siegel, and Travis May (Founder of Datavant, $7B exit), and are backed by Shaper Capital. Most of our engineers are former founders or staff engineers from top tech companies like Google and Stripe.
We're headquartered in SF with additional offices in NYC, Raleigh-Durham, and Dubai. 
 
About the role
Our customers come to us with ambitious, often fuzzy goals&mdash;make content moderation faster, customer service cheaper and better, unlock new integrations, automate the workflows no one else can touch.
Your job is to turn those goals into AI-powered solutions that actually work in the real world&mdash;and to own the journey from first conversation live system real business impact. You&rsquo;ll work closely with experienced team members while ramping to own parts of projects end-to-end. Ownership scales with performance: you will take on more responsibility, including running projects, as soon as you demonstrate you&rsquo;re ready.
This is a forward-deployed, full-stack customer role.<ul><li>
Part engagement manager (you build trust quickly and own key parts of the day-to-day with client)</li><li>
Part product manager (you help drive what we build and why)</li><li>
Part delivery/program manager (you run the execution motion)</li><li>
Part &ldquo;do whatever it takes&rdquo; operator (you jump into the gaps to keep things moving without waiting to be asked)</li></ul>
What you&rsquo;ll do
You will take ownership of execution and delivery operations while building towards full ownership of end-to-end projects.
Own the customer relationship end-to-end<ul><li>
Build strong day-to-day relationships with customers and grow into a trusted partner</li><li>
Join early-stage calls, run discovery, synthesize feedback, and keep customers aligned on what we&rsquo;re building and why.</li><li>
Build trusted relationships across all levels of an organization, setting clear expectations and being candid about tradeoffs.</li></ul>
Shape what we build and why<ul><li>
Contribute to defining product builds, refining scope, and identifying high-leverage use cases</li><li>
Translate ambiguous business problems into crisp problem statements, user journeys, and success metrics.</li><li>
Work with customers to define what &ldquo;success&rdquo; actually means&mdash;then design experiments, KPIs, and dashboards to prove it.</li></ul>
Turn messy problems into shipped solutions<ul><li>
Translate ambiguous customer needs into clear requirements, PRDs, and plans for engineers.</li><li>
Shape workflows, edge cases, evaluation criteria, and deployment success metrics for AI-powered systems.</li><li>
Sit in the loop with engineering: prioritization, tradeoffs, testing, evals, and launches.</li></ul>
Drive execution across multiple AI builds<ul><li>
Increase team leverage by owning delivery mechanics: tracking progress, coordinating stakeholders, and unblocking projects</li><li>
Run the day-to-day execution rhythm: stand-ups, planning, check-ins, risk/issue tracking, and runway management.</li><li>
Coordinate between customers, engineers, designers, and other Fractional teammates to keep projects unblocked and moving.</li><li>
Own timelines, track delivery quality, and proactively flag risks with clear recommendations</li></ul>
Help create demand, not just fulfill it<ul><li>
Jump on early, messy conversations where the &ldquo;project&rdquo; is still a vague idea.</li><li>
Help founders and sales tease out real pain, sketch solution approaches live, and scope engagements that we can actually deliver.</li><li>
Spot expansion opportunities and help turn successful deployments into broader, long-term partnerships.</li></ul>
Drive adoption and long-term impact<ul><li>
Work with client teams on rollout, enablement, and change management&mdash;so the systems you build actually get used.</li><li>
Monitor performance, gather qualitative and quantitative feedback, and push for improvements where they matter most.</li><li>
Bring back insights and patterns that inform Fractional&rsquo;s internal playbooks, tooling, and product direction.</li></ul>
Bring judgment and clarity<ul><li>
When requirements are fuzzy, data is messy, or customers change course, you&rsquo;ll break the problem down and help drive toward the highest-impact solution.</li><li>
Be the person in the room who can say, &ldquo;Here&rsquo;s what we&rsquo;re actually trying to do, here&rsquo;s what we know, here&rsquo;s the plan.&rdquo;</li></ul>
What you bring
Customer-facing, high-stakes experience<ul><li>
You&rsquo;ve taken significant ownership in projects where customers were under pressure, stakeholders weren&rsquo;t aligned, and the path wasn&rsquo;t obvious.</li><li>
You&rsquo;re comfortable pushing back, reframing the problem, and holding the line on quality.</li></ul>
Real product &amp; delivery experience<ul><li>
You&rsquo;ve built and shipped products or services in partnership with engineers and designers&mdash;ideally across multiple cycles.</li><li>
You know how to run an execution rhythm (stand-ups, planning, tracking, retros) without turning it into process theater.</li></ul>
Structured problem-solving and communication<ul><li>
You ask good questions, structure chaos, and turn ambiguity into a plan.</li><li>
You can go from whiteboarding with execs to writing a crisp doc for engineers without losing the plot.</li><li>
You can explain ideas simply, avoid jargon, and tie your work directly to business value</li></ul>
Bias for action and ownership<ul><li>
You roll up your sleeves and make things happen, whether that&rsquo;s writing a scrappy SQL query, drafting a support playbook, or jumping into a last-minute exec demo.</li></ul>
Experience range<ul><li>
Typically 1-3 years in product, consulting, implementations, or any role where execution and customer trust mattered more than your job title. (We care more about what you&rsquo;ve done than the exact label on your resume.)</li></ul>
Comfort with ambiguity and intensity<ul><li>
You like high-energy environments, messy problems, and &ldquo;we haven&rsquo;t done this before&rdquo; projects.</li><li>
You can juggle multiple customers, keep priorities straight, and make good calls with incomplete information.</li></ul>
AI curiosity, not AI dogma<ul><li>
You don&rsquo;t need deep AI expertise on day one. You do need curiosity, strong reasoning, and a desire to learn fast&mdash;and to overuse AI in your own workflow.</li></ul>
In your first 30 days, you might&hellip;<ul><li>
Take ownership of execution for a live customer project and become a key driver of day-to-day delivery</li><li>
Run discovery sessions and turn a fuzzy problem into a clear plan for engineers, complete with success metrics and a first milestone.</li><li>
Lead regular client meetings, track progress, and keep delivery smooth&mdash;flagging risks early and offering options instead of surprises.</li><li>
Support high-stakes moments&mdash;like demoing a prototype to a CTO or VP, handling sharp questions, and steering the conversation toward outcomes.</li><li>
Kick off a second project in a totally different industry, learning new workflows on the fly.</li><li>
Overuse AI: from note-taking and research to drafting docs and testing prototypes.</li><li>
Plug into Fractional&rsquo;s rhythm&mdash;from Project Lunch &amp; Learns to our monthly Happy Hour&mdash;and start shaping how we deliver applied AI, not just what we deliver.</li><li>
You will be expected to grow into independently running projects within 12-24 months. But there</li></ul><h1 class="jobSectionHeader"> 
Why you should (and shouldn&rsquo;t) join us
</h1>We believe in transparency and know joining a company is a big decision. We&rsquo;re not the best fit for everyone and try to be clear on what we are and what we&rsquo;re not so you make the choice that&rsquo;s right for you.
Why join Fractional?<ul><li>
A front-row seat to the AI revolution: In one year at Fractional AI, you will have led many 0-to-1 gen AI builds for leading companies, quickly becoming an expert in applied AI.</li><li>
A huge and growing problem space: Getting gen AI into production is the challenge of our time &ndash; with legacy consulting firms already driving several billion dollars per year on genAI advising revenue. Most offerings on the market don&rsquo;t meet the need &ndash; they are one size fits all product solutions or advising services without the engineering team to deliver. We offer the engineering talent to meet the need.</li><li>
A team of veteran founders: The team is built from multi-time founders and co-founded by Travis May, former CEO of LiveRamp and founder + former CEO of Datavant.</li></ul>
Why you shouldn't join?<ul><li>
We are unapologetically building an engineering-first culture. This is how we build the team to meet the moment. We overdeliver for our clients by crafting a culture that enables the best engineers to thrive.</li><li>
We are a professional services business. Building for clients and their customers is distinctly different from building for your own product&rsquo;s customer or users. It&rsquo;s not for everyone.</li><li>
We are in-person. We&rsquo;re committed to building an in-person team in our San Francisco and New York City offices. This enables us to learn faster together. For the right person, this is a pro, not a con, but it&rsquo;s non-negotiable.</li></ul><h1 class="jobSectionHeader">
Our Values</h1>
We overdeliver.
We overuse AI.
We &ldquo;over engineer&rdquo; the culture.
<h1 class="jobSectionHeader">Location</h1>
San Francisco, CA
Work Arrangement: 4 days in-person, Fridays remote<h1 class="jobSectionHeader">
Compensation &amp; Benefits</h1>
Competitive Compensation Package: Attractive salary and meaningful equity aligned with your experience and skills.
401k with Matching: Invest in your future with our company-matched retirement plan.
Unlimited PTO: Take the time you need to relax and rejuvenate.
Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy.
Health FSA: Manage out-of-pocket health expenses effectively.
Commuter Benefits: Make your travel to work easier and more affordable.
Life Insurance: Providing peace of mind for you and your loved ones.
Team Events and Activities: Regular events to build camaraderie and a strong team spirit.
Compensation Range: $160K - $180K</div>

Associate Forward Deployed Product Manager

Distyl

<div>
 
 About Distyl AI
 
 
 
 Distyl is an applied AI technology company partnering with the world&rsquo;s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
 
 
 We research and deploy technologies that power AI-native operations &mdash; both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations &mdash; from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
 
 
 Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business.
 
 
 
 What We Are Looking For
 
 
 
 As a Software Engineer Back End you will help design, build, and optimize Distillery&mdash;our AI-native platform that powers real-world enterprise AI systems for diverse F500 workflows.
 
 
 Your role will involve developing scalable AI infrastructure, ensuring system reliability, and collaborating with engineers and business leaders to solve some of the most complex AI deployment challenges.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build &amp; Scale AI-Native Infrastructure: Develop and refine a platform where AI builds, optimizes, and operates AI-powered workflows. Define how AI automation integrates into traditional enterprise infrastructure.
 </li>
 <li>
 Develop Cloud-Native Microservices &amp; Scalable AI Systems: Design and build secure, high-performance backend services deployed across AWS/GCP/Azure or on-prem Kubernetes environments. Build using Python, FastAPI, SQLAlchemy, Alembic, and modern DevOps tools to develop scalable, reliable AI infrastructure.
 </li>
 <li>
 Optimize System Performance &amp; Reliability: Ensure high-availability, security, and observability of AI-native workflows. Implement best practices for ML/AI Ops, distributed computing, and scalable service orchestration.
 </li>
 <li>
 Collaborate with Cross-Functional Teams: Partner with Forward-Deployed Engineers (FDEs), AI Researchers, and business SMEs to translate real-world operational needs into platform capabilities. Advocate for strong software engineering and DevOps practices, driving high coding standards and scalable architectures.
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 We are hiring multiple roles across different levels of seniority (3-10+ years of software engineering experience)
 </li>
 <li>
 Proficiency in Backend &amp; Systems Engineering. Expertise in Python, Java, Golang, or C++ for building scalable, high-performance systems
 </li>
 <li>
 Hands-on experience with Kubernetes, CI/CD, cloud platforms (AWS, GCP, or Azure), and infrastructure as code
 </li>
 <li>
 Strong interest in AI-native development, leveraging tools like ChatGPT, Claude, Perplexity, and Cursor in engineering workflows
 </li>
 <li>
 Experience with security, distributed systems, storage, ML/AI Ops, and large-scale observability is a plus
 </li>
 <li>
 Travel: Ability to travel 10-20%
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 The base salary range for this role is $150K &ndash; $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
 </li>
 <li>
 100% covered medical, dental, and vision for employees and dependents
 </li>
 <li>
 401(k) with additional perks (e.g., commuter benefits, in‑office lunch)
 </li>
 <li>
 Access to state‑of‑the‑art models, generous usage of modern AI tools, and real‑world business problems
 </li>
 <li>
 Ownership of high‑impact projects across top enterprises
 </li>
 <li>
 A mission‑driven, fast‑moving culture that prizes curiosity, pragmatism, and excellence
 
 
 </li>
 </ul>
 Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday&ndash;Thursday) in‑office.
 
 
 
 
 We&rsquo;re grateful for the strong interest in this role. The best way to get your profile in front of our team is to apply directly through our careers page, where all applications are reviewed. Due to the high volume of interest, we&rsquo;re not able to review or respond to all direct emails or LinkedIn messages. We will be in touch with every applicant once we&rsquo;ve completed our review, regardless of the decision.
 
 
</div>

Software Engineer - Back End

Lance (YC W26)

<div>
 
 
 Chief of Staff (San Francisco, On-site)
 
 
 
 
 
 
 
 About Lance
 
 
 
 Lance (YC W26) builds autonomous AI agents that run hotel operations end-to-end, from answering guest calls to managing workflows across systems. We work with leading hotel groups across brands like Marriott, Hilton, and Hyatt, and are already deployed across 50+ properties in the U.S.
 
 
 
 
 
 Our agents don&rsquo;t just assist, they execute. They integrate directly into existing hotel systems, make real-time decisions, and handle complex, multi-step operations.
 
 
 
 
 
 
 Total Compensation
 
 
 
 $120,000 Cash, Equity, Bonus
 
 
 
 
 
 
 Role Overview
 
 
 
 
 
 
 We&rsquo;re hiring a Chief of Staff to work directly with the CEO and help scale Lance from early traction to a category-defining company.
 
 
 
 
 
 This is a high-intensity, execution-driven role. You&rsquo;ll operate across product, operations, and go-to-market, building systems, driving initiatives, and ensuring the company moves fast.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 Work directly with the CEO on day-to-day operations and priorities
 
 
 Build and deploy AI automations to increase internal productivity
 
 
 Drive strategic projects across product, ops, and GTM
 
 
 Own cross-functional execution and keep teams aligned
 
 
 Work closely with customers, including hotel executives, on deployments and communication
 
 
 Support marketing, messaging, and sales efforts
 
 
 Fill gaps across the company as needed
 
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 
 Strong operator with high ownership and bias for action
 
 
 Deep interest and experience with AI automations, agents, or workflows
 
 
 Exceptional communication and ability to work with executives
 
 
 Ability to handle multiple priorities in a fast-paced environment
 
 
 Comfortable working long hours when needed, this is not a 9&ndash;5 role
 
 
 Background in consulting, startups, or strategy is a plus
 
 
 
 
 
 
 Why This Role
 
 
 
 Work directly with the founders on core decisions
 
 
 High ownership from day one
 
 
 Exposure across the entire company
 
 
 Build real systems, not just decks
 
</div>

Chief of Staff

JPMorganChase

<div>JOB DESCRIPTION 
Join our Global Security team to safeguard employees and assets with cutting-edge security systems and expert collaboration.
As a Technical Security Project Manager within the North America Corporate and Retail environment, you will be responsible for promoting a multi-year transformation initiative to uplift key components of the physical security technology
Job Responsibilities
<ul><li>Manage and oversight of assigned projects as well as manage a book of work spanning multiple security related programs</li><li>
Engage with and manage external vendors to implement projects enhancing corporate security, ensuring best security solutions at best value to the organization, with a national focus on ATM deployment throughout the continental Unites States</li><li>
Oversee contracted managed services providers</li><li>
Develop security plans, including determining which devices should be deployed</li><li>
Participate in security assessments, live and virtual project meetings</li><li>
Input and update data in various Project Management databases.
</li></ul>Required Qualifications, Skills, and Capabilities<ul><li>
5+ years&rsquo; experience as a project manager, in a security-related position. Experience managing multiple projects simultaneously, including work on large projects as well as leading smaller end-to-end projects.</li><li>
Organizational management including strategic planning, budgeting, project management, professional development and process improvements</li><li>
Ability to work with and manipulate data, create CSV files for upload into other systems</li><li>
Prepare executive level reports to track and meet project targets and budgets, escalate issues and roadblocks, and recommend solutions to resolve challenges</li><li>
Support senior management by identifying risks and ensuring the smooth continuance of business functions and integrations with other technical security platforms across the enterprise
</li><li>Lead working groups to address technical security operations, strategies, risks, and product support as needed
</li><li>Expert Project Management skills (Agile &amp; Waterfall) required</li><li>
Familiar with applications like Bluebeam and AutoCAD for the mark up, measure and manage construction documents and floor plans.</li><li>
Ability to demonstrate personal initiative, ownership and accountability</li><li>
Knowledge of physical security technology to include Physical Security Incident Management (PSIM), Physical Identity Access Management (PIAM), Physical Access Control Systems (PACS), Video Management Systems (VMS), Physical Intrusion Detection and Alarm Monitoring Systems, as well as associated devices and equipment</li><li>
Strong critical thinking and problem-solving skills</li></ul>
Preferred Qualifications, Skills, and Capabilities<ul><li>
Knowledge of IT infrastructure and network architecture and design preferred</li></ul>
FEDERAL DEPOSIT INSURANCE ACT: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase&rsquo;s review of criminal conviction history, including pretrial diversions or program entries. 
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
<div>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div><div> 
 
</div><div>The Global Security (GS) team protects the firm&rsquo;s people and assets, ensuring the safety of business operations through the implementation of technology, best-in-class talent and client collaboration. Teams are responsible for developing safety policies and procedures, customer safety, pre-employment screening, fraud investigations and security operations on a global basis.</div></div>

Global Security - Technical Security Project Manager , Senior Associate

OpenAI

<div>
 
 About The Team
 
 
 
 The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity.
 
 
 The Strategic Intelligence &amp; Analysis (SIA) team provides safety intelligence for OpenAI&rsquo;s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Our work informs safety mitigations, product decisions, and partnerships, ensuring OpenAI&rsquo;s tools are deployed securely and responsibly across critical sectors.
 
 
 
 About The Role
 
 
 
 As a Data Scientist, you will lead econometric and experimental analysis to understand how risk changes in complex human&ndash;AI systems. Your work will focus on measuring the magnitude and impact of risk shifts in a fast-paced, rapidly evolving operational environment. You will design experiments and observational studies to identify causal drivers and analyze changes in risk across a wide range of surfaces and sources. Your analyses will directly inform prioritization and strategic risk management across the company.
 
 
 This role is based in San Francisco, CA (hybrid, 3 days/week). Relocation support is available
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Own the design and execution of experimental and observational analyses used to assess strategic risk
 </li>
 <li>
 Develop econometric approaches to estimate the impact of product, policy, and external developments on key risk vectors
 </li>
 <li>
 Translate strategic risk questions into testable hypotheses and sound study designs
 </li>
 <li>
 Design and deploy A/B tests, as well as pseudo-experimental studies, to measure changes in risks and understand underlying mechanisms
 </li>
 <li>
 Identify, test, and explain product-driven, event-driven, or signal-driven changes in risk
 </li>
 <li>
 Establish baselines and statistical confidence around core metrics to size these problems
 </li>
 <li>
 Partner across teams to track strategic risks, identify opportunities for intervention, and develop analyses to evaluate those interventions
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Have 3&ndash;6+ years in econometrics, causal inference, or experimental research
 </li>
 <li>
 Are comfortable owning ambiguous analyses with large-scale influence
 </li>
 <li>
 Are strong in experimental design, observational methods, and statistical reasoning
 </li>
 <li>
 Write solid Python and SQL
 </li>
 <li>
 Experience delivering zero-to-one analyses and scaling them from concept through deployment
 </li>
 <li>
 Communicate data-driven findings clearly, including uncertainty and trade-offs, to non-technical partners and leadership
 </li>
 <li>
 Nice to have: experience in trust and safety, integrity, operational security, intelligence analysis or other quantitative risk-focused domains
 
 
 </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 - $325K
</div>

Data Scientist, Strategic Intelligence & Risk

PRAVAH

<div><h2 class="jobSectionHeader">Staff Machine Learning Engineer, Computer Vision</h2><h3 class="jobSectionHeader"> 

About Pravah</h3>
Pravah is building foundational intelligence for the electric grid. We apply modern machine learning to complex physical infrastructure problems spanning grid operations, weather, and geospatial systems.
Our work sits at the intersection of computer vision, physical systems, and large-scale ML, with deployments across utilities in the United States and India. We leverage multimodal data - including satellite imagery, LiDAR, and street-level data - to build high-fidelity representations of grid assets and their surroundings.
We are backed by Khosla Ventures, Pear VC, and Conviction. 
 
To know more about who we are, what we are building, and why we are excited read this Notion! 
https://pravah.notion.site/<h3 class="jobSectionHeader">
The Role</h3>
We are hiring a Staff Machine Learning Engineer (Computer Vision) to lead the development of core perception and mapping systems for electric grid infrastructure.
This is a high-ownership, high-ambiguity role focused on building systems that operate on large-scale, heterogeneous visual data. You will define technical direction, make key architectural decisions, and ship models that are deployed in production.
Beyond core CV work, you will explore how state-of-the-art generative and vision architectures (e.g., ViTs, diffusion, flow matching) can be adapted to adjacent domains such as weather and spatiotemporal modeling.
There is also an opportunity to contribute to frontier work suitable for publication, particularly in areas where existing methods do not translate cleanly to real-world physical systems.<h3 class="jobSectionHeader">
What You&rsquo;ll Work On</h3>
Grid Mapping &amp; Infrastructure Understanding<ul><li>
Build and deploy models for object detection, segmentation, and instance-level understanding of grid assets and surroundings</li><li>
Work across satellite, aerial, street view, and LiDAR data to create unified representations of physical infrastructure</li><li>
Develop systems for depth estimation and spatial reasoning in complex real-world environments</li></ul> 
Multimodal &amp; Foundation Models<ul><li>
Adapt and fine-tune vision transformers and related architectures for domain-specific tasks</li><li>
Build multimodal systems that combine visual, spatial, and structured data 
Design representations that generalize across geographies, data sources, and operating conditions</li></ul> 
Applied Research &amp; New Directions<ul><li>
Bring state-of-the-art CV methods into production, bridging research and real-world deployment</li><li>
Explore the use of modern generative and vision architectures in weather and geospatial modeling applications</li><li>
Identify, prototype, and validate new approaches for modeling physical systems from visual data</li></ul><h3 class="jobSectionHeader"> 
Who You Are</h3><ul><li>
6+ years of experience building and deploying machine learning systems, with a focus on computer vision</li><li>
Strong expertise in modern deep learning approaches, including:<ul><li>
Object detection and segmentation</li><li>
Vision transformers and/or generative modeling approaches</li><li>
Multimodal learning</li></ul></li><li>
Proven track record of taking systems from research to production at scale</li><li>
Strong engineering fundamentals and proficiency in Python and ML frameworks (e.g., PyTorch)</li><li>
Experience working with large-scale, real-world datasets (e.g., geospatial, satellite, LiDAR) is a strong plus</li><li>
Comfortable operating in ambiguous environments, reasoning from first principles, and driving technical direction with high ownership</li><li>
Demonstrated ability to produce high-quality technical work, whether through systems, research, or publications</li></ul><h3 class="jobSectionHeader">
What You&rsquo;ll Gain</h3><ul><li>
Ownership of core perception and mapping systems deployed in real-world grid operations</li><li>
Opportunity to work on hard, open-ended problems at the intersection of AI and physical infrastructure</li><li>
Ability to shape technical direction and contribute to frontier ML work</li><li>
Close collaboration with a deeply technical founding team</li></ul><h3 class="jobSectionHeader">
Why This Role</h3>
This role sits at the frontier of applying modern computer vision to large-scale physical systems. Many of the problems we work on do not have established benchmarks or standard solutions. You will operate in settings where data is heterogeneous, ground truth is incomplete, and progress requires both technical depth and first-principles thinking.
Compensation Range: $150K - $200K</div>

Staff Machine Learning Engineer (Computer Vision)

FluidStack

<div><div><div>San Francisco, CA,New York, NY,Austin, TX
 </div></div><div>Full Time</div></div>
 <div><h1 class="jobSectionHeader">About Fluidstack</h1>
At Fluidstack, we build the compute, data centers, and power that will fuel artificial superintelligence. We supply GWs of compute capabilities to the world&rsquo;s biggest AI Labs at industry-defining speeds.
Our team is small, fast, and obsessed with quality. We own outcomes end-to-end, challenge assumptions, and treat our customers' problems as our own. No task is beneath anyone here.
There are a few thousand people who will shape the trajectory of superintelligence. Come and be one of them.
<h1 class="jobSectionHeader">About the People Team</h1>
The People team at Fluidstack exists to support our mission of building the world&rsquo;s best place to do your life&rsquo;s best work.
We design and operate the systems, environments, and partnerships that allow talented people to focus on meaningful problems. Our work spans from the infrastructure that keeps the organization running cleanly, to the lifecycle moments that shape employee experience, to the support that helps managers and leaders do their best work.
We care deeply about how things happen, not just whether they happen.
<h1 class="jobSectionHeader">Why This Role Exists</h1>
Technical organizations scale quickly, and management practices often lag behind headcount growth. This role exists to ensure engineering, product, and infrastructure leaders have the support they need to manage people well, especially during periods of rapid hiring and organizational change.
<h1 class="jobSectionHeader">About the Role</h1>
We seek an experienced, kind, and thorough partner to embed and work with Fluidstack&rsquo;s technical departments on people and performance matters. Initially, your coverage will be broad. As the organization scales, you&rsquo;ll specialize into a narrower set of departments.
In this role, you will nurture, coach, and develop your colleagues, focusing on macro and micro development to ensure they are performing to the best of their ability in healthy, scalable ways. This will take many forms: from direct 1-to-1 coaching with a new engineering manager to multi-quarter strategic planning with department leadership to navigating complex team dynamics.
Rather than pushing obtuse business metrics, your practice is grounded in employee advocacy and looking for holistic solutions that meet people where they are while simultaneously moving the organization toward meaningful results. You default to a growth mindset; asking probing questions and providing nuanced feedback, allowing you to build strong, open, and trusting relationships.
This is not an HR compliance role. You sit at the intersection of people and performance. You help managers manage better, not by training them in a classroom, but by working alongside them when it counts.
Regular travel to FluidStack offices and team locations is expected to build and maintain relationships across your coverage area.
<h1 class="jobSectionHeader">What You Will Do</h1>
<h3 class="jobSectionHeader">First 30 Days</h3>
<ul><li>Complete onboarding and immerse yourself in the technical departments: sit in on team meetings, 1:1s (with permission), and planning sessions.
</li><li>Build trust-based relationships with managers. Understand team dynamics, pain points, and open questions.
</li><li>Map the current state of people practices across your departments: how are performance conversations happening? What&rsquo;s the onboarding experience? Where are the gaps?
</li><li>Identify the top 2&ndash;3 areas where manager support would have the most immediate impact.
</li></ul><h3 class="jobSectionHeader">By 60 Days</h3>
<ul><li>Begin active coaching with managers on performance conversations, feedback delivery, and team-level decision-making.
</li><li>Partner with the People team to roll out any new systems (performance, engagement, onboarding) within your departments, adapting for the technical context.
</li><li>Surface department-level people risks to the broader People team with clear framing and proposed next steps.
</li><li>Establish a regular check-in rhythm with department leadership across your coverage area.
</li></ul><h3 class="jobSectionHeader">By 90 Days</h3>
<ul><li>Managers in your departments feel meaningfully more supported in people decisions. You can point to specific conversations or outcomes.
</li><li>You have a clear picture of people health across your coverage area: retention risks, development gaps, team dynamics.
</li><li>You&rsquo;ve helped at least one People system land well in a technical department, not just deployed, but adopted.
</li><li>You are seen as a trusted partner, not a compliance function. Technical leaders come to you proactively.
</li></ul><h1 class="jobSectionHeader">What We Are Looking For</h1>
<ul><li>Love of learning and intense curiosity about how people and teams work.
</li><li>Kindness and care in how you engage with colleagues, especially when conversations are difficult.
</li><li>Design thinking and problem-solving. You look for holistic solutions rather than quick fixes.
</li><li>Clarity, approachability, and precision in communication.
</li><li>You have partnered closely with managers before, not just administered HR processes, but actually influenced how leaders manage their people.
</li><li>You understand how technical teams work: sprint rhythms, release pressure, IC-to-manager transitions, architecture debates that are actually people problems. You don&rsquo;t need to be technical, but you need to be credible when an engineering manager tells you their situation is different.
</li><li>You can hold both accountability and empathy simultaneously. You don&rsquo;t shy away from hard conversations, and you don&rsquo;t deliver them without care.
</li><li>You read team dynamics well and can identify patterns before they become crises.
</li><li>Demonstrated experience in an HRBP, People Partner, or similar embedded role supporting technical teams. We care about what you&rsquo;ve influenced, not how long you&rsquo;ve been doing it.
</li><li>We welcome candidates from coaching, organizational development, technical recruiting, or any background where influencing manager behavior and improving team outcomes in technical environments were central to the work.
</li></ul><h1 class="jobSectionHeader">You&rsquo;ll Thrive Here If You</h1>
<ul><li>Enjoy solving challenging problems. When there isn&rsquo;t a clear solution, you take the time to understand the root complexities and work to find a holistic solution.
</li><li>Care about how things happen. The how is as important as the why. You believe in and trust the process.
</li><li>Care about the human. Everything you do is in service to making Fluidstack a place where people can do their best work. When decisions need to be made, you start with the human impact.
</li><li>Want to make something really great. The bar is high, but so too is the opportunity to shape how an entire technical organization experiences management and growth.
</li></ul><h1 class="jobSectionHeader">What Additive Value Looks Like</h1>
<ul><li>Experience partnering with engineering orgs through hypergrowth, where the team doubled or tripled and the people challenges scaled faster than the systems.
</li><li>You&rsquo;ve navigated the specific performance challenges of technical teams: how to evaluate IC output that&rsquo;s hard to quantify, how to support managers through tough conversations about engineering performance, and how to help teams maintain standards during rapid hiring.
</li><li>Background in organizational development, coaching, or applied psychology.
</li><li>Experience supporting managers through system transitions (new performance frameworks, leveling, comp changes) in technical orgs specifically.
</li></ul><h1 class="jobSectionHeader">Salary &amp; Benefits</h1>
<ul><li>Competitive total compensation package (salary + equity).
</li><li>Retirement or pension plan, in line with local norms.
</li><li>Health, dental, and vision insurance.
</li><li>Generous PTO policy, in line with local norms.
</li></ul>The base salary range for this position is $195,000 - $315,000 per year, depending on experience, skills, qualifications, and location. This range represents our good faith estimate of the compensation for this role at the time of posting. Total compensation may also include equity in the form of stock options.
We are committed to pay equity and transparency.
Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans&rsquo; status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email careers@fluidstack.io with your resume/CV, the role you've applied for, and the date you submitted your application- someone from our recruiting team will be in touch.</div>

Employee Engagement (EE) Partner - Software & Platform

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