Director of ServiceNow Delivery

Agentic AI Consultancy

Remote - US

$200k base + up to 20% bonus + benefits (flex for the right person)

This isn't a role where you inherit a practice and keep it ticking over. There's no practice yet. You're building it.

Our client is a growing agentic AI consultancy with deep ServiceNow, Microsoft, and UiPath expertise. They work with enterprise clients on real problems, not pilots. Right now, they're standing up a ServiceNow delivery capability from scratch, and they need someone to own it end to end: the team, the standards, the quality, and the credibility that makes them competitive.

The problem?

Delivery capability doesn't build itself. They've got the commercial motion covered (a GTM ServiceNow Lead owns that side), but they need a delivery counterpart who can hire across geographies, set the bar for what good looks like, and lead a globally distributed team that actually holds together across time zones. That's this job.

As Director, you'll own delivery oversight across every active ServiceNow project, build and lead the team, and work hand in hand with the GTM Lead to turn delivery work into repeatable, market-ready IP. You don't need to be the most technical person in the room. You do need to know what's being built, what good looks like, and where the hard problems live.

What You'll Own

• Delivery oversight. Keep visibility across every active ServiceNow project, spot risk early, and step in when something needs attention. You're the senior escalation point for complex or at-risk work.
• Team building. Build and lead a globally distributed delivery team across multiple time zones. Own hiring across geographies, define the profiles, and bring the right people in.
• People development. Create clear career pathways for consultants, architects, and developers. Run 1:1s, performance conversations, and capability reviews across a remote-first team.
• AI-powered delivery. Champion AI tooling inside delivery itself, accelerating documentation, code generation, testing, QA, and governance. The team uses AI to work smarter, not just build it for clients.
• IP capture. Systematically pull reusable assets out of delivery (accelerators, templates, integration patterns) and work with the GTM Lead to package them into offerings that shorten sales cycles.

What They're Looking For

• Delivery leadership: 5+ years as a ServiceNow delivery lead, or practice manager with 10+ years in the ServiceNow ecosystem.
• Team building at scale: A track record of building and leading consulting or professional services teams across distributed, multi-timezone geographies.
• Delivery instincts: You can read a project early and know when something needs a hand. Comfortable being a people leader and a hands-on delivery operator, sometimes on the same day.
• GTM awareness: You've worked alongside commercial or go-to-market functions in a consulting environment.
• Technical fluency: Enough depth in ServiceNow architecture (Now Assist, Virtual Agent, Workflow Data Fabric) to challenge an approach, assess a design decision, and know when to bring in deeper expertise. You don't need to be hands-on day to day.
• Integration and AI knowledge: Familiar with how ServiceNow connects to UiPath, Azure OpenAI, and Databricks, plus a working understanding of where LLMs fit in enterprise automation.

Bonus Experience

Nice to have, but not required:

• A genuine interest in how AI is changing the way professional services teams work, not just what they deliver.
• Experience packaging delivery IP into repeatable, market-facing offerings.
• Pre-sales and scoping involvement where delivery credibility matters.

Why This One's Worth a Look

• You're building, not running. This is a practice from the ground up. The standards, the team, the culture, the IP library, all yours to shape.
• Real ownership: You own hiring, quality, and delivery standards across the whole practice, not one slice of it.
• It's current work: Agentic AI on ServiceNow is new ground, and this firm is moving on it rather than talking about it.
• Direct line to commercial impact: What your team builds feeds straight into proposals and new business. Delivery here is a competitive asset, not a cost line.

Most delivery roles ask you to maintain what's already there. This one asks you to build it. If that's the kind of problem you want to spend your time on, apply now to find out more.

AI Innovation Lead

 

£50,000–£70,000 + bonus + benefits

 

London (Hybrid, around 3 days in the office)

 

A leading strategic advisory firm is creating a new role for an AI Innovation Lead.

This is the first hire of its kind in the business. You will set the direction for how AI is used, decide which problems to tackle, and work with a specialist Google Cloud consultancy who will build what you design

 

The firm advises major organisations on public affairs, communications, policy and reputation. Teams track legislation, follow parliamentary activity, monitor media, and run complex client campaigns. The work is time-sensitive and detail-heavy, which makes it well suited to better tooling and smarter workflows

 

The opportunity

• Be the point person for AI across the firm, reporting into senior leadership.
• Shape a programme that moves from isolated tools to a consistent way of working.
• Direct a Google Cloud delivery partner rather than building everything yourself.
• Work in a high-performing but supportive culture, with people who care about politics, current affairs and good work.

 

You will have the space to design, test and implement changes that make a visible difference to how people work.

 

What you will do

• Build and run the firm’s AI and innovation plan, with a clear roadmap and priorities.
• Map how public affairs and communications teams work today and identify where better workflows or automation will help most.
• Define concrete use cases, from parliamentary monitoring and reporting to content drafting, research and headline generation, then brief these to the Google Cloud partner.
• Work closely with the external team to make sure what they build fits the business, is robust, and can be adopted.
• Help colleagues at different levels of confidence get value from the tools, through training, guidance and day-to-day support.
• Contribute to sensible internal guidelines and, over time, a formal policy on AI use.

 

What you bring

• Strong track record delivering AI, automation or workflow improvement projects in a business environment.
• Solid experience with Google Gemini / Google AI. This is essential.
• Ability to work with external technical partners, give clear direction, and challenge decisions where needed.
• Confidence talking to non-technical stakeholders, understanding how they work, and turning that into clear problem statements
• A straightforward, collaborative style. You ask questions, listen, and work well with busy teams.
• No prior experience in public affairs or communications is required. An interest in politics is helpful but not a requirement.

 

Why this will appeal

If you want to be accountable for how a business uses AI, rather than one contributor in a large central function, this will suit you. You will have direct input into what gets built, close access to decision-makers, and clear line of sight from idea to impact.

Senior / Staff Full-Stack Software Engineer

📍 San Francisco, CA (Onsite – 5 Days/Week)
💰 $200K–$300K + Competitive Equity

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We’re partnering with a fast-growing AI startup building next-generation productivity software at the intersection of desktop applications, AI agents, and workflow automation. 

This company is building the future AI operating layer for knowledge work, an AI-native desktop assistant that understands everything happening across your workflow in real time.

Their product integrates directly into the desktop environment, captures context across applications, and helps users operate significantly faster without constantly switching tools, tabs, or workflows.

Backed by top-tier investors with $50M+ raised, they are still an extremely lean engineering organization where every engineer has outsized ownership and influence.

This is not a role where you inherit a narrow surface area inside a large org. You’ll help shape the architecture, product direction, runtime systems, and AI-native user experience from the ground up.

They’re looking for highly technical engineers who thrive in fast-moving environments and enjoy solving hard product and systems problems across desktop infrastructure, performance optimization, native integrations, and AI workflows.

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What You’ll Own

• Build and scale a cross-platform desktop application - Work across Electron, TypeScript, React, Node.js, Swift, and C++ to ship performant user-facing systems.
• Own systems end-to-end - Engineers own architecture, implementation, performance, instrumentation, debugging, and production delivery.
• Work on AI-native product experiences - Build features powered by LLMs, context orchestration, workflow automation, and native desktop integrations.
• Improve performance and reliability - Solve problems related to latency, memory usage, telemetry, observability, and runtime stability.
• Help shape technical direction - Strong engineering opinions are valued. You’ll contribute to architectural decisions, tooling, frameworks, and long-term product direction.
• Work closely with a tiny, elite team - The company operates with very little bureaucracy and a very high degree of ownership, autonomy, and trust.

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What They’re Looking For

• Strong engineering fundamentals — Experience shipping production software with real ownership and operational responsibility.
• High-agency startup mentality — Comfortable operating in ambiguity, moving quickly, and solving problems independently.
• Strong full-stack experience — TypeScript, React, Node.js, and modern product engineering environments.
• Native/Desktop systems exposure — Experience with Electron, Swift, C++, desktop applications, or OS-level integrations is highly valuable.
• Product-minded builder — Cares deeply about UX, performance, reliability, and product quality.
• AI curiosity — Experience with AI/LLM-powered features, copilots, or workflow automation is a strong plus.

Technical Environment

TypeScript • React • Node.js • Electron • Swift • C++ • LLM Integrations • Desktop Runtime Systems • Cross-Platform Architecture • Telemetry & Observability • AI-Native Workflows

Ideal Backgrounds

Especially interested in engineers from:

• Early-stage startups
• AI-native product companies
• Developer tooling or productivity software companies

Former founders, open-source contributors, and engineers with strong side projects are especially compelling.

Candidates looking for narrowly scoped enterprise environments or “just another job” are unlikely to be a fit.

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Why This Opportunity Is Worth Your Time

• Massive ownership: You’ll join a very small engineering team where every engineer shapes the roadmap, architecture, and technical direction.
• Technically difficult problems: The work sits at the intersection of desktop infrastructure, AI systems, performance engineering, and human-computer interaction.
• AI-native product exposure: You’ll help define what next-generation AI user experiences look like in practice.
• Strong funding + early-stage upside: Backed by elite investors with significant runway, while still early enough for meaningful equity and influence.
• This is the kind of environment where strong engineers can move fast, solve hard problems, and have outsized impact on both the product and company trajectory.

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This is the kind of environment where you'll work hard, move fast, and build systems with outsized impact. If you want broad ownership and the chance to help define what AI-native software looks like in the real world, apply now!

Member of Technical Staff

Location: San Francisco, CA

Onsite Policy: Full-time onsite

Comp & Benefits: $225K - $300K base + 0.5% - 2% equity

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This company is rebuilding consumer underwriting infrastructure from the ground up using AI-powered systems across document intelligence, fraud detection, and financial decisioning.

Their platform has already helped over a million people gain access to housing by enabling faster, fairer, and more consistent underwriting decisions for large real estate operators across the U.S.

This is not a narrowly scoped engineering role inside a large organization.

You’ll help shape architecture, product direction, and core AI infrastructure while solving technically difficult problems in a highly regulated fintech environment.

They are looking for highly autonomous engineers who thrive in ambiguity, move quickly, and enjoy owning systems end-to-end.

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What You'll Own

• Design and scale AI-native systems across underwriting, anti-fraud, document extraction, conversational workflows, and backend infrastructure.
• Own technical architecture and execution across the full stack while solving complex engineering challenges with real-world consumer impact.

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What They're Looking For

• 8+ years of experience building and shipping production-grade full-stack or backend systems with strong ownership.
• High-agency engineers who are comfortable making architectural decisions and operating in fast-moving startup environments.
• Strong technical depth across modern backend systems, cloud infrastructure, APIs, databases, and scalable application development.
• Experience with technologies such as TypeScript, React, Node.js, Python, Postgres, Redis, BigQuery, and GCP.
• Strong communication skills, technical judgment, and the ability to think critically about scalability, reliability, and product impact.
• Curiosity around AI-native systems, fraud detection, document intelligence, or applied AI workflows.

Technical Environment

TypeScript, React, Node.js, Python, Postgres, Redis, BigQuery, GCP, AI underwriting systems, document intelligence infrastructure, and fraud detection systems.

Ideal Backgrounds

Strong interest in engineers from:

• AI-native startups
• fintech infrastructure companies
• early-stage product startups
• high-bar engineering cultures

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Why This Opportunity Is Worth Your Time

• Massive ownership and direct influence over architecture, engineering culture, and product direction.
• Opportunity to solve genuinely difficult AI and infrastructure problems with meaningful real-world impact.
• Strong product traction, elite customers, and a rapidly growing market opportunity.
• A high-talent, low-ego environment where engineers move fast and own outcomes.

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This is the kind of role where exceptional engineers get broad scope, real autonomy, and the chance to build AI systems that directly affect millions of people, apply now!

Data Engineer - Data Monetisation 

Global Blue Chip

£46k - £69k base + 25% bonus + company benefits (10% match pension, 25 days annual leave plus your birthday off, private healthcare + more)

London - 2 days a week

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Most data engineering jobs are about keeping the lights on. This one is about building something that actually matters.

Our client is sitting on some of the richest customer data in the UK. The team you'd be joining turns that raw data into high-value customer signals and commercial data products - the kind of work that has real commercial weight behind it.

As a Data Engineer, you won't be babysitting old pipelines. You'll be building new ones, writing clean Python and SQL, working with ML models to find genuine customer insights, and contributing to a platform built on Google Cloud.

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What you'll be doing

• Building and maintaining data pipelines and warehousing solutions that actually hold up under pressure.
• Writing code that follows proper governance and quality standards — not just code that works, but code the next person can understand and build on.
• Using analytical and modelling techniques across a vast dataset to create customer insights and segments that have real commercial value.
• Collaborating with internal teams to understand what data is available, hunt down quality issues, and make sure the products you're contributing to are reliable.
• Taking ownership of your tickets, showing up to agile ceremonies, and shipping work on time.

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What you need to bring

• Solid Python and SQL. This is non-negotiable.
• Real experience as a Data Engineer, building pipelines and doing data analysis — not just exposure to it.
• Hands-on experience with Google Cloud, specifically BigQuery, Cloud Run and DBT Cloud.
• Version control and CI/CD experience, ideally with GitLab.
• Familiarity with Jira and Confluence. Nothing exotic, but you need to be comfortable working in an agile environment.
• A genuine willingness to learn. The data landscape moves fast. If you need everything pinned down before you start, this probably isn't the right fit.

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Nice to have

• Some experience with machine learning, specifically BigQueryML, MLOps or Gen AI applications.
• Experience working with big data at scale.

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The benefits

Bupa healthcare from day one. Income protection if you're unable to work. Life assurance. A birthday day off. Option to buy or sell up to 5 days' holiday. Discounts on our clients' products for you and your family. Plus a pension with employer contributions.

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Next steps

Two-stage interview process if shortlisted. This role will move quickly. If it's caught your attention, don't sit on it. Apply now, and one of our team will be in touch within 48 hours.

AI Engineer

Location: San Francisco

Onsite Policy: 5 days a week

Comp & Ben: $180k - $250k base + 0.3% - 0.8% equity + visa sponsorship + relocation support

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Most AI companies are building wrappers around existing models.

This company is building the infrastructure and agentic systems that automate real-world commercial real estate development workflows from site sourcing and due diligence through to infrastructure planning and execution.

Their customers already include some of the biggest names in institutional real estate, technology, and infrastructure.

 

This isn't a role where you inherit narrow ownership inside a large org. You'll help shape the architecture, product direction, engineering culture, and AI systems from the ground up.

They're looking for high-agency software engineers who thrive in ambiguity, move fast, and care deeply about building high-quality systems. They are less focused on candidates who have spent years training LLMs and more interested in engineers who know how to ship production software, think independently, and operate with strong ownership.

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What You'll Own

• Build and evolve AI-native systems - Work across agent orchestration, workflows, retrieval systems, infrastructure, and user-facing product experiences.
• Ship production software fast - Design, build, debug, and improve systems used internally and by enterprise customers every day.
• Own broad technical scope - Engineers work across product, backend, infrastructure, deployment, and customer problem-solving.
• Help shape technical direction - Strong opinions are valued. You'll be expected to think critically about architecture, tooling, frameworks, and engineering trade-offs.
• Work closely with a tiny, high-calibre team - The company operates with very little process and a high degree of trust, ownership, and autonomy.

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What They're Looking For

• Strong software engineering fundamentals: Production experience building scalable systems with real ownership and operational responsibility.
• High agency and startup mentality: Comfortable operating in ambiguity, solving problems independently, and moving quickly without heavy structure.
• Technical depth: Experience with modern engineering environments across backend, infrastructure, or full-stack systems.
• Strong communication and technical judgment: Able to defend architectural decisions and communicate trade-offs clearly.
• Curiosity around AI systems: Experience with LLMs, agent frameworks, or AI-native tooling is a plus, but not mandatory.

Technical Environment

• Python, Go, or Rust
• TypeScript / React
• AWS
• Distributed systems
• Postgres
• CI/CD
• Observability and monitoring
• Agent orchestration systems
• Modern AI tooling and workflows

Ideal Backgrounds

Especially interested in engineers from:

• Early-stage startups
• AI-native companies
• High-bar engineering cultures like Stripe, Airbnb, Dropbox, Palantir, Scale AI, or similar environments

Candidates with purely research-focused ML backgrounds or candidates looking for highly defined 9-5 scope are unlikely to be a fit.

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Why This Opportunity Is Worth Your Time

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This is the kind of environment where you'll work hard, move fast, and build systems with outsized impact. If you want broad ownership and the chance to help define what AI-native software looks like in the real world, apply now!

Head of Data Engineering - Data Monetisation 

Global Blue Chip 

London - 2 days a week

£100k - £128k base + £7,200 car allowance + 25% bonus + benefits (10% matched pension, private health, family support + more)

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This isn't a data engineering job where you maintain someone else's mess. You're building the platform.

Our client sits on one of the most valuable datasets in the UK. Millions of customers. Rich behavioural signals. A complex, multi-source data ecosystem that most companies could only dream of.

The problem? That value doesn't unlock itself. Right now, they're building the infrastructure to turn raw data into high-value customer signals and commercial data products, and they need the right person to lead it.

As Head of Data Engineering, you'll own the architectural strategy, lead a team of four Product Data Engineers, and sit at the intersection of technical delivery and business outcomes. You'll report into the Director of Data Monetisation and work with stakeholders from engineers up to C-suite.

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What You'll Own

• Define the architecture - Own the technical strategy for a data product platform that's extensible, reusable, and built to last — not patched together as requirements evolve.
• Lead the team - Manage the agile process, run standups, own the backlog and roadmap, and mentor four Product Data Engineers to grow technically and professionally.
• Drive quality and governance - Set high standards across accuracy, platform SLAs, privacy, and data lineage — and make sure they hold throughout the entire data lifecycle.
• Push innovation - Evaluate and prototype new technologies and tooling. You'll have room to shape how the team works, not just what it builds.
• Deliver commercial value - Stay close to data consumers and paying customers to keep product development tied to outcomes that actually matter to the business.

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What They're Looking For

• Proven technical leadership: You've led a team of engineers remotely, challenged architectural decisions, and driven the right practices for the team.
• Full-stack data experience at scale: Ingestion, ML/AI modelling, analytics. You've designed complex end-to-end solutions, not just one layer of the stack.
• Google Cloud hands-on experience: BigQuery, Analytics Hub (BQ Sharing), Cloud Functions and DBT Cloud specifically. Comparable cloud experience considered for strong candidates.
• Commercial mindset: You can demonstrate data product adoption and articulate the time and cost value of what you've built.
• External data product experience: You've built SaaS or data products for external partners, including data contracts, integrations, and privacy constraints.
• Agile fluency: Jira and Confluence are part of your daily life. You handle ambiguity well and thrive in fast-moving environments.
• Python and SQL coaching ability: You can develop engineers, not just write clean code yourself.

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Bonus Experience

Nice to have, but not required:

• Experience building new products from scratch rather than inheriting legacy systems.
• Sensitive datasets in regulated industries, especially telco
• Data cleanrooms - Google, Snowflake or equivalent

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Why This Opportunity Is Worth Your Time

• Real architectural scope: Own the direction of a strategic data platform at one of the UK's largest telcos — not just execute someone else's vision.
• Interesting data at scale: UK-scale telco data. Complex signals. The kind of dataset that takes years to build.
• Commercial backing: Data monetisation is a growth priority. This team has real business support behind it.
• Strong benefits: 40% bonus long-term incetive plan after 3 years service, Bupa healthcare from day one, income protection, life assurance, birthday day off, and the option to buy or sell up to 5 days holiday.

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Most data engineering roles ask you to maintain what's already there. This one asks you to build what comes next. If that's the kind of problem you want to spend your time on, apply now to find out more!

Head of Business Development (Data Monetisation – Finance)

Global Enterprise | New AI & Data Division
London / Hybrid (Paddington, 2 days onsite)
£114k Base (£190k OTE) + LTIPs + Car Allowance
Greenfield Opportunity | Massive Backing | First Commercial Hire

This isn’t your typical enterprise sales role.

We’re partnered with a globally recognised enterprise business that has launched a brand-new Data Monetisation division focused on commercialising one of the richest datasets in the UK market.

Backed by significant investment and led by senior AI and data leadership, this new function is being built to unlock high-value commercial partnerships across Financial Services.

They’re hiring their first Head of Business Development to spearhead the Finance vertical.

This is a genuine build role.

You’ll own the commercial strategy, land the first flagship customers, shape the GTM motion, and ultimately build the function around you.

The business already has the scale, brand recognition, funding and data. Now they need the commercial leader to turn that into revenue.

What You’ll Own

• Build the Finance GTM strategy across banking, hedge funds, PE, fraud, risk and consulting
• Own full-cycle enterprise sales from prospecting through to close
• Sell consultatively and shape tailored data solutions around client pain points
• Launch strategic partnerships with brokers, distributors and alternative data partners
• Build scalable onboarding frameworks and revenue processes from scratch
• Work closely with AI, Product, Engineering and Privacy teams to influence future offerings

What They’re Looking For

• Proven experience selling data, analytics or alternative-data products into Financial Services
• Track record landing enterprise deals with banks, hedge funds, PE firms or regulated industries
• Strong commercial negotiation skills across licensing, compliance and complex deal structures
• Experience operating in ambiguity within startup or greenfield environments
• Builder mentality with the ability to create, not inherit
• Existing Financial Services network is highly advantageous

Why This Role is Special

• First commercial hire into a major new business line
• Startup pace and autonomy with enterprise-level backing and stability
• Huge opportunity to shape the future of the division
• Direct exposure to senior leadership and strategic initiatives
• Strong package including LTIPs/share scheme, car allowance and pension match

The first 6 months are heavily focused on revenue generation and proving market fit. From there, the opportunity is to build and lead the wider GTM function.

If you’ve sold complex data solutions into finance and want the chance to build something meaningful inside a globally recognised business, this is worth a conversation.

Interested? Email me at rio.samuels@edgetech.ai

Principal ServiceNow
Solution Architect
— done properly.

$150k - $180k base

US - Remote

Not a box-ticker. Not a ticket-closer. A genuine architect who can sit across from enterprise leaders and redesign how their business thinks - using ServiceNow AI as the lever.

Founding AI Engineer (Agentic AI + Reinforcement Learning)

Stealth AI Startup – AI for Semiconductor Engineering

San Francisco – Onsite

$180k – $250k base + 0.4–0.75% equity

Early Team | Real Production Customers

 

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This isn’t another “LLM wrapper” job.

 

We’re working with a stealth AI startup building agentic AI systems that automate complex chip verification and debugging workflows.

 

Today, debugging a single issue in chip verification can take days and multiple engineers digging through tools, logs, and simulation environments.

 

This company is building AI agents that reduce those workflows to minutes.

 

The platform captures how the best silicon engineers solve problems and turns that knowledge into AI playbooks that scale across entire engineering teams.

 

Customers already include fast-moving semiconductor startups and large publicly traded chip companies.

 

They’re now hiring a Founding AI Engineer to help build the core intelligence layer powering these agents.

 

This is a true 0 → 1 role where you’ll design systems, ship production models, and directly shape the future of AI in hardware engineering.

 

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What You’ll Own

 

Build the Intelligence Layer

Design and implement post-training pipelines that shape how AI agents reason about chip verification workflows.

 

Reinforcement Learning Systems

Develop reward models, RLHF / RLAIF pipelines, and evaluation harnesses that improve agent decision-making over time.

 

Agent Tooling & Execution Systems

Build the infrastructure that allows models to interact with real engineering environments and EDA tools.

 

Production AI Systems

Ship agentic AI systems used directly by semiconductor engineers solving real verification challenges.

 

Customer-Driven Intelligence

Work closely with silicon engineers and customers to encode domain knowledge into training data, reward signals, and evaluation frameworks.

 

Frontier AI Work

Stay close to advances in LLM reasoning, agentic architectures, and reinforcement learning, bringing new ideas directly into production.

 

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What They’re Looking For

 

Production AI Builders

3+ years building and shipping real AI systems, ideally agent-based or complex ML systems in production.

 

Strong ML Engineering

Hands-on experience with Python, PyTorch, and modern ML workflows.

 

Post-Training / RL Experience

Experience with RLHF, DPO, reward modeling, or similar post-training techniques is a strong plus.

 

Startup or Founder DNA

Former founders, founding engineers, or builders who have shipped technically complex products.

 

Technical Depth

Strong background in computer science, computer engineering, or electrical engineering (top university backgrounds preferred).

 

Bonus Experience

Nice-to-have but not required:

 

• Silicon verification workflows

• EDA tooling (Synopsys, Cadence, Questa)

• Publications in top conferences (NeurIPS, ICLR, DAC)

 

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Why This Role Is Interesting

 

Hard Problems, Real Impact

Your work will reduce multi-day chip debugging workflows into minutes using AI agents.

 

Rare AI + Hardware Intersection

Work at the frontier of agentic AI applied to one of the most complex engineering domains in the world.

 

True Founding Role

Own the core intelligence layer of the product and help shape the direction of the company.

 

Production from Day One

Your systems will be used by real semiconductor teams solving real problems.

 

Competitive Compensation

$175k – $250k base + meaningful founding equity (0.4–0.75%).

 

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Ideal Background

You might be a strong fit if you have:

 

• Built agentic AI systems from scratch

• Designed RLHF / evaluation pipelines

• Shipped technically complex production AI systems

• Previously worked at a startup, research lab, or as a founder

• Enjoy building messy, ambitious systems from zero to one

 

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Location

San Francisco (Onsite)

H1B transfers supported for strong candidates.

 

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If you want to work on frontier AI systems solving real engineering problems, this is one of the most technically interesting roles in the market right now.