Qureos Mentor

Fractional AI

<div><h2 class="jobSectionHeader">About Fractional AI</h2>
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.<h2 class="jobSectionHeader">
The Role</h2>
This role is designed for strong software engineers who want to ship AI products end-to-end across a range of domains, with meaningful ownership from day one.
You'll work on a small, high-caliber team (2&ndash;5 engineers and a PM) building AI products for our clients, from requirements gathering and prototyping through system design, development, testing, and deployment. You&rsquo;ll own features end-to-end, and develop domain expertise across a range of AI use cases.
You'll spend most of your time in code, with meaningful client exposure &ndash; frequently interacting with the client&rsquo;s team to make sure what we're building meets their needs.
Most engineers take a decade to see this range of hard problems across this many domains. Here, you'll do it in your first year. To make this possible, we are religious about being the best company in the world to learn Applied AI engineering practices.<h2 class="jobSectionHeader">
What You Bring</h2><ul><li>
Experience consistently shipping high visibility or high impact software, with deep care for the craft. We strongly prefer candidates with 4+ years of experience, although we understand it&rsquo;s only one proxy for impact. Exceptional signals elsewhere (AI evangelism, OSS contributions, founder experience) can substitute.</li><li>
Specific interest in applying software engineering fundamentals to AI systems. You care about balancing frontier model capabilities with good system design.</li><li>
Comfort talking with senior technical stakeholders. You navigate conversations skillfully, and care about people using what you build.</li><li>
High ownership mindset. You jump in without instruction, embrace a &quot;no job too big, no job too small&quot; mindset, and want to shape strategy and culture.</li><li>
Low ego, high integrity. You help others and ask for help. You hold a high bar for honesty&ndash;with yourself and your team.</li></ul><h2 class="jobSectionHeader">
Our Engineering Philosophy</h2>
We're opinionated about what works in production, and we write about it &mdash; from why most eval setups fail by collapsing everything into a single score, to why defaulting to chat interfaces limits AI's impact.
We have a distinct approach to building AI systems: applying standard software engineering discipline to the non-deterministic world of frontier AI. We design systems around testable hypotheses, curate durable data sets, and ensure what we ship keeps working long after we've handed it over.
After shipping 30+ AI products, we have strong opinions on what makes AI products succeed and how to get them into production. We think you'll find it refreshing if you've seen how most companies approach AI.<h2 class="jobSectionHeader">
How Fractional Is Different</h2>
A typical engineer here ships two to three products per year and learns from dozens more. You have outsized autonomy on each product &mdash; but you won't have a year to polish a single system. The upside is constant time on the frontier of models and tooling, and a muscle for AI product development that's hard to build anywhere else.
Most engineers look back at this as the biggest growth period of their career. But it's possible you won't like it &mdash; we recommend using the interview process to hear what our engineers think.<h2 class="jobSectionHeader">
Our Values</h2><ul><li>
Overdeliver: We are writing the playbook on how to create enterprise value with LLMs, and building our reputation as the world&rsquo;s best applied AI team.</li><li>
Overuse AI: We go out of our way to experiment with the latest tools and share what we learn with our teammates - building a culture at the frontier.</li><li>
Over &quot;engineer&quot; the culture: For every big decision, we ask &ldquo;would this make Fractional a better or worse place for our team?&rdquo;</li></ul>
Location
San Francisco, CA
Work Arrangement: 4 days in-person, Fridays remote<h1 class="jobSectionHeader">
Benefits</h1><ul><li>
Competitive Compensation Package: Attractive salary aligned with your experience and skills.</li><li>
401k with Matching: Invest in your future with our company-matched retirement plan.</li><li>
Unlimited PTO: Take the time you need to relax and rejuvenate.</li><li>
Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy.</li><li>
Health FSA: Manage out-of-pocket health expenses effectively.</li><li>
Commuter Benefits: Make your travel to work easier and more affordable.</li><li>
Life Insurance: Providing peace of mind for you and your loved ones.</li><li>
Team Events and Activities: Regular events to build camaraderie and a strong team spirit.</li></ul><h1 class="jobSectionHeader">
Ready to join us?</h1>
Compensation Range: $160K - $220K</div>

Software Engineer (SF)

<div><h2 class="jobSectionHeader">About Fractional AI</h2>
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.<h2 class="jobSectionHeader">
The Role</h2>
This role is designed for former engineering leaders (IC or EM) or founders who are comfortable owning end-to-end technical outcomes but specifically want to continue being impactful as individual contributors and spend more time in the code.
You'll work on a small, high-caliber team (2&ndash;5 engineers and a PM) building AI products for our clients. You'll set technical direction, write code, and be the person the team looks to when something is hard.
You'll spend roughly 75% of your time in code and 25% working directly with clients &mdash; often their CTOs &mdash; understanding problems, walking through tradeoffs, and making sure what we&rsquo;re building meets their needs.
Most engineers take a decade to see this range of hard problems across this many domains. Here, you'll do it in your first year. To make this possible, we are religious about being the best company in the world to learn Applied AI engineering practices.<h2 class="jobSectionHeader">
What You Bring</h2><ul><li>
8+ years of engineering experience, with deep care for the craft. You've shipped multiple complete products end-to-end and write elegant, production-ready code across multiple disciplines.</li><li>
Specific interest in applying software engineering fundamentals to AI systems. You care about balancing frontier model capabilities with good system design.</li><li>
Comfort talking with senior technical stakeholders. You navigate conversations skillfully, and care about people using what you build.</li><li>
High ownership mindset. You jump in without instruction, embrace a &quot;no job too big, no job too small&quot; mindset, and want to shape strategy and culture.</li><li>
Low ego, high integrity. You help others and ask for help. You hold a high bar for honesty&ndash;with yourself and your team.</li></ul><h2 class="jobSectionHeader">
Our Engineering Philosophy</h2>
We're opinionated about what works in production, and we write about it &mdash; from why most eval setups fail by collapsing everything into a single score, to why defaulting to chat interfaces limits AI's impact.
We have a distinct approach to building AI systems: applying standard software engineering discipline to the non-deterministic world of frontier AI. We design systems around testable hypotheses, curate durable data sets, and ensure what we ship keeps working long after we've handed it over.
After shipping 30+ AI products, we have strong opinions on what makes AI products succeed and how to get them into production. We think you'll find it refreshing if you've seen how most companies approach AI.<h2 class="jobSectionHeader">
How Fractional Is Different</h2>
A typical engineer here ships two to three products per year and learns from dozens more. You have outsized autonomy on each product &mdash; but you won't have a year to polish a single system. The upside is constant time on the frontier of models and tooling, and a muscle for AI product development that's hard to build anywhere else.
Most engineers look back at this as the biggest growth period of their career. But it's possible you won't like it &mdash; we recommend using the interview process to hear what our engineers think.<h2 class="jobSectionHeader">
Our Values</h2><ul><li>
Overdeliver: We are writing the playbook on how to create enterprise value with LLMs, and building our reputation as the world&rsquo;s best applied AI team.</li><li>
Overuse AI: We go out of our way to experiment with the latest tools and share what we learn with our teammates - building a culture at the frontier.</li><li>
Over &quot;engineer&quot; the culture: For every big decision, we ask &ldquo;would this make Fractional a better or worse place for our team?&rdquo;</li></ul>
Location
San Francisco, CA 
New York, NY
Work Arrangement: 4 days in-person, Fridays remote<h1 class="jobSectionHeader">
Benefits</h1><ul><li>
Competitive Compensation Package: Attractive salary aligned with your experience and skills.</li><li>
401k with Matching: Invest in your future with our company-matched retirement plan.</li><li>
Unlimited PTO: Take the time you need to relax and rejuvenate.</li><li>
Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy.</li><li>
Health FSA: Manage out-of-pocket health expenses effectively.</li><li>
Commuter Benefits: Make your travel to work easier and more affordable.</li><li>
Life Insurance: Providing peace of mind for you and your loved ones.</li><li>
Team Events and Activities: Regular events to build camaraderie and a strong team spirit.</li></ul><h1 class="jobSectionHeader">
Ready to join us?</h1>
Compensation Range: $230K - $350K</div>

Senior / Staff Software Engineer (SF/NY)

<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

Join Fractional AI and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Fractional AI

About Company

Software Engineer (SF)

Senior / Staff Software Engineer (SF/NY)

Associate Forward Deployed Product Manager