At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’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’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — 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 — and we’re just getting started.
Role Overview
Harvey's Customer Education team is defining what best-in-class AI education looks like for legal professionals, and we're building the technical infrastructure to make that possible at scale. We are looking for an Automation Engineer to own the systems behind Harvey Academy and the help center, from AI agents and automation pipelines to video content and beyond.
You will partner directly with the Customer Education Strategist Lead, content specialists, and cross-functional teams to translate educational strategy into production-grade technical solutions. This is a high-autonomy role with direct ownership of systems that shape the customer experience at a category-defining legal AI company.
This is a rare opportunity to be the technical mind embedded within a high-performing, strategy-driven team. You'll be the person who looks at a manual, time-intensive content operation and replaces it with something smarter, faster, and scalable.
AI-powered content generation, automated publishing pipelines, and personalized learning at scale are challenges the industry is still figuring out. The solutions you build will directly determine how quickly Harvey's customers become experts on the platform. If you're an engineer who wants outsized influence, a short path from idea to impact, and the chance to help define what generative AI education looks like, this is that role.
What You'll Do
Build and maintain AI agents using LLM APIs (Anthropic Claude, OpenAI) to automate content creation, review, and publishing workflows across Harvey Academy and the help center.
Own and optimize the learning technology stack, including Skilljar and Sanity CMS integrations, ensuring reliability, extensibility, and seamless content publishing.
Identify and eliminate bottlenecks in content operations by building automation where it doesn't exist yet.
Partner with Product, User Operations, and GTM to identify opportunities for systems improvement and AI-driven innovation across the customer education ecosystem.
Use technical expertise to explore implementation of interactive learning components based on instructional design direction from team members.
What You Have
5+ years of experience in automation engineering, with demonstrated experience designing and building API integrations
Proficiency with modern web technologies (HTML, CSS, JavaScript, and React or similar), ideally in a fast-paced or high-growth environment.
Hands-on experience building AI agents, LLM-powered workflows, including prompt engineering and API integrations with platforms like Anthropic Claude or OpenAI.
Track record of supporting production systems end-to-end, ideally including LMS platforms, CMS tools, or similar content delivery infrastructure.
Strong ability to operate autonomously, translating business needs into well-architected technical solutions with minimal oversight.
Excellent communication skills with the ability to collaborate closely with non-technical teammates and explain technical tradeoffs clearly.
Comfort working in documentation-heavy or content-ops environments
Nice to Have
Familiarity with content governance or audit systems, including automated review triggers and freshness logic
Experience building and operating AI video generation pipelines, using tools like ElevenLabs or equivalent, to produce scalable video content.
Experience coding interactive elements within LMS platforms
Compensation
$123,600 - $185,400
Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].
#LI-ML1
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
Listed by Harvey for a position based in the United States. Employers on this board attest they are hiring domestically.
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’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’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — 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 — and we’re just getting started.
Role Overview
Harvey's Customer Education team is defining what best-in-class AI education looks like for legal professionals, and we're building the technical infrastructure to make that possible at scale. We are looking for an Automation Engineer to own the systems behind Harvey Academy and the help center, from AI agents and automation pipelines to video content and beyond.
You will partner directly with the Customer Education Strategist Lead, content specialists, and cross-functional teams to translate educational strategy into production-grade technical solutions. This is a high-autonomy role with direct ownership of systems that shape the customer experience at a category-defining legal AI company.
This is a rare opportunity to be the technical mind embedded within a high-performing, strategy-driven team. You'll be the person who looks at a manual, time-intensive content operation and replaces it with something smarter, faster, and scalable.
AI-powered content generation, automated publishing pipelines, and personalized learning at scale are challenges the industry is still figuring out. The solutions you build will directly determine how quickly Harvey's customers become experts on the platform. If you're an engineer who wants outsized influence, a short path from idea to impact, and the chance to help define what generative AI education looks like, this is that role.
What You'll Do
Build and maintain AI agents using LLM APIs (Anthropic Claude, OpenAI) to automate content creation, review, and publishing workflows across Harvey Academy and the help center.
Own and optimize the learning technology stack, including Skilljar and Sanity CMS integrations, ensuring reliability, extensibility, and seamless content publishing.
Identify and eliminate bottlenecks in content operations by building automation where it doesn't exist yet.
Partner with Product, User Operations, and GTM to identify opportunities for systems improvement and AI-driven innovation across the customer education ecosystem.
Use technical expertise to explore implementation of interactive learning components based on instructional design direction from team members.
What You Have
5+ years of experience in automation engineering, with demonstrated experience designing and building API integrations
Proficiency with modern web technologies (HTML, CSS, JavaScript, and React or similar), ideally in a fast-paced or high-growth environment.
Hands-on experience building AI agents, LLM-powered workflows, including prompt engineering and API integrations with platforms like Anthropic Claude or OpenAI.
Track record of supporting production systems end-to-end, ideally including LMS platforms, CMS tools, or similar content delivery infrastructure.
Strong ability to operate autonomously, translating business needs into well-architected technical solutions with minimal oversight.
Excellent communication skills with the ability to collaborate closely with non-technical teammates and explain technical tradeoffs clearly.
Comfort working in documentation-heavy or content-ops environments
Nice to Have
Familiarity with content governance or audit systems, including automated review triggers and freshness logic
Experience building and operating AI video generation pipelines, using tools like ElevenLabs or equivalent, to produce scalable video content.
Experience coding interactive elements within LMS platforms
Compensation
$123,600 - $185,400
Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].
#LI-ML1
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
Listed by Harvey for a position based in the United States. Employers on this board attest they are hiring domestically.
Engineering
97 days ago
Developer Community Growth
ElevenLabs · San Francisco, California, United States
Founding Forward Deployed Engineer
Location
San Francisco HQ
Employment Type
Full time
Location Type
On-site
Department
Engineering
Overview
Application
ABOUT SPHERE
Every breakthrough in trade infrastructure has followed the same pattern: reduce a transaction cost, expand the market. Containerization for goods. SWIFT for money. Stripe for payments. Compliance is one of the last and largest — and the hardest, because trade rules aren't data to be looked up. They're a complex adaptive system with 190+ sovereign jurisdictions, in different languages, changing constantly, reacting to each other.
Sphere built the system that solves it. Our AI (TRAM) ingests global trade law, interprets it, resolves conflicts across jurisdictions, and produces compliance determinations more reliable than human experts. We handle the entire lifecycle — calculation, registration, filing, remittance — at millisecond latency with zero downtime.
Backed by a16z and YC. $21M Series A, 30%+ month-over-month growth, customers include ElevenLabs, Replit, Deel, Runway, and Lovable.
Small team, global surface area. Everyone owns a domain that would be a full team at a larger company. San Francisco, five days in office.
The problem keeps compounding. Expanding into input tax, withholding, e-invoicing, tariffs — each multiplies the complexity. Tens of millions of transactions today, billions ahead.
THE ROLE
As the Founding Forward Deployed Engineer at Sphere, you’ll embed directly with Sphere's most strategic customers to understand their cross-border business workflows, identify the highest-impact compliance challenges, and design and deliver custom solutions that make Sphere fit seamlessly into their operations.
You won't just be executing a playbook, you'll be defining it as you go. Working directly with our Founder, Engineering team, and GTM teams, you'll define how Sphere shows up in customer environments and shape what the forward-deployed motion looks like as we scale. This is a rare opportunity to have an outsized influence on both the product and the customer experience.
This role is ideal for engineers who thrive on owning problems end-to-end, from discovery to deployment, and who are energized by the challenge of translating intricate, jurisdiction-specific regulatory requirements into elegant, production-grade software. We're looking for someone who is as comfortable in a customer conversation as they are in a codebase, and who brings the same rigor to building internal processes as they do to solving customer problems.
WHAT YOU'LL DO
Enablement
Onboard customers pre-contract, get accounts functional in Sphere
Navigate customer billing system integrations
Pull and interpret liability reports, help customers understand exposure
Guide clients through the complexity of understanding and managing their global tax liability
Guide customers through VAT ID collection, address hygiene, and regional compliance
Monetization
Bridge between customer needs and the engineering roadmap
Be entrenched with the customer by ensuring Sphere is integral to all of the company’s revenue compliance needs
Research new compliance requirements (e-invoicing, input tax, etc.) end to end
Identify patterns across customers - what custom work is being requested repeatedly
Scope and write tight technical PRDs/proposals ready to hand to core engineering
Build custom features and integrations on top of the Sphere platform for key accounts
Identify custom builds that could be scaled and deployed across all customers as new features or products
REQUIREMENTS
Experience in an FDE or customer-facing engineering role.
Experience executing and shipping bespoke customer features, end-to-end.
Ownership. Takes a problem from ambiguous to shipped without being told how, keeps the customer outcome in sight the whole way, and doesn't drop threads.
Relentlessly curious. You don't wait to be pointed at the answer - you go find it, and you know when to pull in someone who knows more than you.
Strong communication skills. We work at an extremely fast pace, so clear, concise communication is essential.
Customer obsession. You’re going to be talking to a lot of people in the finance realm (Controller, Heads of Finance, Heads of Tax). You need to like them and obsess over them.
Very strong attention to detail. When you work with numbers, this is a non-negotiable - it’s not enough to be 99% right.
NICE TO HAVES
Experience working with large volumes of transaction data. You’ll be getting very familiar with it!
Experience in Python and Django. Our core application backend and data pipeline services are built with Python and Django
Experience with React. Our entire front end is built in React.
WHO YOU ARE
You'll thrive here if:
You're a Dog. You've been underestimated, gone through struggle, and never stopped running. You have a chip on your shoulder and enormous drive. You look at Stripe, Deel, and Flexport all punting on compliance and think: good, that means the opportunity is ours. Hunger beats pedigree.
Early stage is in your bones. You've built things where there's no playbook and nobody handing you the answer. You define the problem instead of waiting for instructions.
You own it end to end. Give you a goal and you figure out your own path. Small team, global surface area — everyone owns a domain that would be a full team at a larger company. No one tells you how.
You believe speed and accuracy are both possible. We're building a complex product that requires robustness and 100% uptime, and we have to build at our customers' pace. Move fast. Don't break things. Both.
This won't be a fit if:
You need structure handed to you or ambiguity feels draining rather than motivating
You want to manage people more than own hard problems (we're a flat, experienced team — everyone builds)
You're used to "good enough" shipping (small errors have outsized impact here)
Apply for this Job
Powered by
Privacy PolicySecurityVulnerability Disclosure
Listed by Sphere for a position based in the United States. Employers on this board attest they are hiring domestically.
ABOUT SPHERE
Every breakthrough in trade infrastructure has followed the same pattern: reduce a transaction cost, expand the market. Containerization for goods. SWIFT for money. Stripe for payments. Compliance is one of the last and largest — and the hardest, because trade rules aren't data to be looked up. They're a complex adaptive system with 190+ sovereign jurisdictions, in different languages, changing constantly, reacting to each other.
Sphere built the system that solves it. Our AI (TRAM) ingests global trade law, interprets it, resolves conflicts across jurisdictions, and produces compliance determinations more reliable than human experts. We handle the entire lifecycle — calculation, registration, filing, remittance — at millisecond latency with zero downtime.
- Backed by a16z and YC. $21M Series A, 30%+ month-over-month growth, customers include ElevenLabs, Replit, Deel, Runway, and Lovable.
- Small team, global surface area. Everyone owns a domain that would be a full team at a larger company. San Francisco, five days in office.
- The problem keeps compounding. Expanding into input tax, withholding, e-invoicing, tariffs — each multiplies the complexity. Tens of millions of transactions today, billions ahead.
THE ROLE
As the Founding Forward Deployed Engineer at Sphere, you’ll embed directly with Sphere's most strategic customers to understand their cross-border business workflows, identify the highest-impact compliance challenges, and design and deliver custom solutions that make Sphere fit seamlessly into their operations.
You won't just be executing a playbook, you'll be defining it as you go. Working directly with our Founder, Engineering team, and GTM teams, you'll define how Sphere shows up in customer environments and shape what the forward-deployed motion looks like as we scale. This is a rare opportunity to have an outsized influence on both the product and the customer experience.
This role is ideal for engineers who thrive on owning problems end-to-end, from discovery to deployment, and who are energized by the challenge of translating intricate, jurisdiction-specific regulatory requirements into elegant, production-grade software. We're looking for someone who is as comfortable in a customer conversation as they are in a codebase, and who brings the same rigor to building internal processes as they do to solving customer problems.
WHAT YOU'LL DO
Enablement
- Onboard customers pre-contract, get accounts functional in Sphere
- Navigate customer billing system integrations
- Pull and interpret liability reports, help customers understand exposure
- Guide clients through the complexity of understanding and managing their global tax liability
- Guide customers through VAT ID collection, address hygiene, and regional compliance
Monetization
- Bridge between customer needs and the engineering roadmap
- Be entrenched with the customer by ensuring Sphere is integral to all of the company’s revenue compliance needs
- Research new compliance requirements (e-invoicing, input tax, etc.) end to end
- Identify patterns across customers - what custom work is being requested repeatedly
- Scope and write tight technical PRDs/proposals ready to hand to core engineering
- Build custom features and integrations on top of the Sphere platform for key accounts
- Identify custom builds that could be scaled and deployed across all customers as new features or products
REQUIREMENTS
- Experience in an FDE or customer-facing engineering role.
- Experience executing and shipping bespoke customer features, end-to-end.
- Ownership. Takes a problem from ambiguous to shipped without being told how, keeps the customer outcome in sight the whole way, and doesn't drop threads.
- Relentlessly curious. You don't wait to be pointed at the answer - you go find it, and you know when to pull in someone who knows more than you.
- Strong communication skills. We work at an extremely fast pace, so clear, concise communication is essential.
- Customer obsession. You’re going to be talking to a lot of people in the finance realm (Controller, Heads of Finance, Heads of Tax). You need to like them and obsess over them.
- Very strong attention to detail. When you work with numbers, this is a non-negotiable - it’s not enough to be 99% right.
NICE TO HAVES
- Experience working with large volumes of transaction data. You’ll be getting very familiar with it!
- Experience in Python and Django. Our core application backend and data pipeline services are built with Python and Django
- Experience with React. Our entire front end is built in React.
WHO YOU ARE
You'll thrive here if:
- You're a Dog. You've been underestimated, gone through struggle, and never stopped running. You have a chip on your shoulder and enormous drive. You look at Stripe, Deel, and Flexport all punting on compliance and think: good, that means the opportunity is ours. Hunger beats pedigree.
- Early stage is in your bones. You've built things where there's no playbook and nobody handing you the answer. You define the problem instead of waiting for instructions.
- You own it end to end. Give you a goal and you figure out your own path. Small team, global surface area — everyone owns a domain that would be a full team at a larger company. No one tells you how.
- You believe speed and accuracy are both possible. We're building a complex product that requires robustness and 100% uptime, and we have to build at our customers' pace. Move fast. Don't break things. Both.
This won't be a fit if:
- You need structure handed to you or ambiguity feels draining rather than motivating
- You want to manage people more than own hard problems (we're a flat, experienced team — everyone builds)
- You're used to "good enough" shipping (small errors have outsized impact here)
Listed by Sphere for a position based in the United States. Employers on this board attest they are hiring domestically.
Engineering
157 days ago
Compliance Engineer - North America
ElevenLabs · New York City, New York, United States
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always.
We have expanded from voice into three main platforms:
ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
How we work
High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
Excellence everywhere: Everything we do should match the quality of our AI models.
Global team: We prioritize your talent, not your location.
What we offer
Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.
Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
About the Role
Collaborating across teams to maintain US Government compliance certifications and frameworks such as GovRAMP, FedRAMP, CJIS and CMMC.
Helping to shape ElevenLabs’ Enterprise offering towards regulated industries such as Local and State Government, Defense and Finance.
Building technical documentation to demonstrate our compliance to our customers throughout the stack.
Assisting the sales team by responding to client security requests and managing compliance-related queries.
Conduct risk assessments based on CIS or NIST frameworks, document findings, and help teams achieve compliance efficiently.
Enhance compliance as code tooling to automate monitoring, reporting, and reduce friction for other teams to remain compliant.
Requirements
Experience in completing vendor security assessments and client security questionnaires in highly regulated industries, such as Government and Defense in the US.
Strong technical expertise in managing and executing compliance, with hands-on experience using compliance management tools (e.g. Vanta).
Proven ability to maintain and acquire certifications while managing audit readiness and documentation.
Experience collaborating with cross-functional teams (sales, engineering, legal) to effectively communicate compliance requirements and ensure smooth operations.
Experience with public cloud compliance (AWS, GCP, Azure) and automating compliance in cloud environments.
Familiarity with integrating compliance tools into CI/CD pipelines to automate monitoring and reporting.
Location
This role is remote-first, so it can be executed from the United States, with the ability to operate in Eastern (ET) timezones required. If you prefer, you can work from our offices in New York.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Listed by ElevenLabs for a position based in the United States. Employers on this board attest they are hiring domestically.
Lead AI Engineer
Location
San Francisco HQ
Employment Type
Full time
Location Type
On-site
Department
Engineering
Compensation
$250K – $280K • Offers Equity
Overview
Application
ABOUT SPHERE
Every breakthrough in trade infrastructure has followed the same pattern: reduce a transaction cost, expand the market. Containerization for goods. SWIFT for money. Stripe for payments. Compliance is one of the last and largest — and the hardest, because trade rules aren't data to be looked up. They're a complex adaptive system with 190+ sovereign jurisdictions, in different languages, changing constantly, reacting to each other.
Sphere built the system that solves it. Our AI (TRAM) ingests global trade law, interprets it, resolves conflicts across jurisdictions, and produces compliance determinations more reliable than human experts. We handle the entire lifecycle — calculation, registration, filing, remittance — at millisecond latency with zero downtime.
Backed by a16z and YC. $21M Series A, 30%+ month-over-month growth, customers include ElevenLabs, Replit, Deel, Runway, and Lovable.
Small team, global surface area. Everyone owns a domain that would be a full team at a larger company. San Francisco, five days in office.
The problem keeps compounding. Expanding into input tax, withholding, e-invoicing, tariffs — each multiplies the complexity. Tens of millions of transactions today, billions ahead.
THE ROLE
You'll lead development of TRAM, our proprietary AI reasoning model that reads and interprets global trade law. This isn't a lookup problem, it's a reasoning problem — and it only became solvable with LLMs. You'll build the data pipelines that ingest legal sources, the model stack that produces structured evidence, the evaluation frameworks that measure accuracy, and the fine-tuning loops that improve performance. The unusual constraint: you need speed, scale, correctness, and robustness simultaneously — at millisecond latency, zero downtime, heading toward billions of transactions where a single error costs a customer $20K.
WHAT YOU'LL DO
Within weeks:
Lead development of new features aimed at increasing TRAM’s test-time accuracy
Work on the underlying data and retrieval pipelines that help power our AI workflows
Work directly with our internal tax experts to understand how TRAM can better reason like them
Within months:
Own TRAM’s eval framework and workflows
Work directly with leading frontier labs to reinforce fine tune models on our proprietary data
REQUIREMENTS
Prior experience building AI enabled products, particularly RAG systems
Experience fine tuning base models, ideally via RFT
Willingness to dive into tax technical problems - if you aren’t willing to dive deep on how the model should reason through the tax research process you won’t be effective
A strong understanding of how LLMs and reasoning models function
NICE TO HAVES
Experience working with LLMs on legal applications
Experience with RAG data pipelines and collecting/curating data for the pipeline
WHO YOU ARE
You'll thrive here if:
You're a Dog. You've been underestimated, gone through struggle, and never stopped running. You have a chip on your shoulder and enormous drive. You look at Stripe, Deel, and Flexport all punting on compliance and think: good, that means the opportunity is ours. Hunger beats pedigree.
Early stage is in your bones. You've built things where there's no playbook and nobody handing you the answer. You define the problem instead of waiting for instructions.
You own it end to end. Give you a goal and you figure out your own path. Small team, global surface area — everyone owns a domain that would be a full team at a larger company. No one tells you how.
You believe speed and accuracy are both possible. We're building a complex product that requires robustness and 100% uptime, and we have to build at our customers' pace. Move fast. Don't break things. Both.
Being in the room is a feature, not a cost. Five days in SF isn't a policy, it's how the work gets done. The speed and density of collaboration we need doesn't survive over video.
This won't be a fit if:
You need structure handed to you or ambiguity feels draining rather than motivating
You want to manage people more than own hard problems (we're a flat, experienced team — everyone builds)
You're used to "good enough" shipping (small errors have outsized impact here)
Being in the room five days a week feels like a cost instead of a benefit
Apply for this Job
Powered by
Privacy PolicySecurityVulnerability Disclosure
Listed by Sphere for a position based in the United States. Employers on this board attest they are hiring domestically.
ABOUT SPHERE
Every breakthrough in trade infrastructure has followed the same pattern: reduce a transaction cost, expand the market. Containerization for goods. SWIFT for money. Stripe for payments. Compliance is one of the last and largest — and the hardest, because trade rules aren't data to be looked up. They're a complex adaptive system with 190+ sovereign jurisdictions, in different languages, changing constantly, reacting to each other.
Sphere built the system that solves it. Our AI (TRAM) ingests global trade law, interprets it, resolves conflicts across jurisdictions, and produces compliance determinations more reliable than human experts. We handle the entire lifecycle — calculation, registration, filing, remittance — at millisecond latency with zero downtime.
- Backed by a16z and YC. $21M Series A, 30%+ month-over-month growth, customers include ElevenLabs, Replit, Deel, Runway, and Lovable.
- Small team, global surface area. Everyone owns a domain that would be a full team at a larger company. San Francisco, five days in office.
- The problem keeps compounding. Expanding into input tax, withholding, e-invoicing, tariffs — each multiplies the complexity. Tens of millions of transactions today, billions ahead.
THE ROLE
You'll lead development of TRAM, our proprietary AI reasoning model that reads and interprets global trade law. This isn't a lookup problem, it's a reasoning problem — and it only became solvable with LLMs. You'll build the data pipelines that ingest legal sources, the model stack that produces structured evidence, the evaluation frameworks that measure accuracy, and the fine-tuning loops that improve performance. The unusual constraint: you need speed, scale, correctness, and robustness simultaneously — at millisecond latency, zero downtime, heading toward billions of transactions where a single error costs a customer $20K.
WHAT YOU'LL DO
Within weeks:
- Lead development of new features aimed at increasing TRAM’s test-time accuracy
- Work on the underlying data and retrieval pipelines that help power our AI workflows
- Work directly with our internal tax experts to understand how TRAM can better reason like them
Within months:
- Own TRAM’s eval framework and workflows
- Work directly with leading frontier labs to reinforce fine tune models on our proprietary data
REQUIREMENTS
- Prior experience building AI enabled products, particularly RAG systems
- Experience fine tuning base models, ideally via RFT
- Willingness to dive into tax technical problems - if you aren’t willing to dive deep on how the model should reason through the tax research process you won’t be effective
- A strong understanding of how LLMs and reasoning models function
NICE TO HAVES
- Experience working with LLMs on legal applications
- Experience with RAG data pipelines and collecting/curating data for the pipeline
WHO YOU ARE
You'll thrive here if:
- You're a Dog. You've been underestimated, gone through struggle, and never stopped running. You have a chip on your shoulder and enormous drive. You look at Stripe, Deel, and Flexport all punting on compliance and think: good, that means the opportunity is ours. Hunger beats pedigree.
- Early stage is in your bones. You've built things where there's no playbook and nobody handing you the answer. You define the problem instead of waiting for instructions.
- You own it end to end. Give you a goal and you figure out your own path. Small team, global surface area — everyone owns a domain that would be a full team at a larger company. No one tells you how.
- You believe speed and accuracy are both possible. We're building a complex product that requires robustness and 100% uptime, and we have to build at our customers' pace. Move fast. Don't break things. Both.
- Being in the room is a feature, not a cost. Five days in SF isn't a policy, it's how the work gets done. The speed and density of collaboration we need doesn't survive over video.
This won't be a fit if:
- You need structure handed to you or ambiguity feels draining rather than motivating
- You want to manage people more than own hard problems (we're a flat, experienced team — everyone builds)
- You're used to "good enough" shipping (small errors have outsized impact here)
- Being in the room five days a week feels like a cost instead of a benefit
Listed by Sphere for a position based in the United States. Employers on this board attest they are hiring domestically.
Select a role
The full posting opens here — pay, setting and the full description, without leaving the list.