Senior / Staff Full-Stack Engineer - AI Desktop Platform

📍 San Francisco, CA (5 Days In-Office)
💰 $200K - $300K Base + Competitive Equity
🛂 Visa Sponsorship Available (H-1B Transfers, OPT, TN Welcome)

I'm partnering with a high-growth AI company that's building one of the most exciting AI-native desktop experiences in the productivity space.

Their AI assistant doesn't just answer questions. It sees everything on your screen, understands context across every app you use, and helps you work 10x faster. Following a $40M Series A led by Khosla Ventures and exceptional user growth, they're expanding their engineering team and hiring multiple Senior and Staff Full-Stack Engineers to help build the platform behind this revolutionary desktop assistant.

This is an opportunity to work at the intersection of desktop software, native development, and AI integration, building a cross-platform application that's redefining how knowledge workers interact with their computers.

What You'll Do

You'll take ownership of core platform capabilities that power the AI assistant experience, working closely with product, AI, and infrastructure teams.

Key responsibilities include:

Designing, building, and maintaining core features of an Electron desktop application that works across Windows and macOS.
Owning end-to-end implementation of user-facing and infrastructure features, from modern TypeScript frontends to native system-level integrations.
Developing and integrating LLM-based functionality that powers screen context awareness, call transcription, and intelligent automation.
Collaborating on native code written in C++ (Windows) and Swift (macOS).
Architecting systems for performance, reliability, and seamless user experience at scale.
Helping make architectural decisions and contributing to the technical direction of the company.

What We're Looking For

We're looking for engineers who have built and shipped production software at startup speed, not just maintained legacy systems.

You'll ideally have:

5-10 years of software engineering experience, with a strong backend or full-stack leaning.
Experience building products from 0 to 1 or helping scale products through periods of rapid growth in an early-stage, hypergrowth environment.
Strong experience with TypeScript and Node.js; React experience is a plus.
Experience with Electron, C++, or Swift is highly beneficial.
A product mindset with the ability to balance technical excellence with business impact.
A genuine passion for AI. You read research papers, build side projects with LLMs, or have passion projects in the space.
Startup or founder experience showing end-to-end delivery on AI-native tools is a strong plus.

Why Join?

This is a chance to join a business with exceptional momentum. Highlight AI just raised a $40M Series A from Khosla Ventures, with participation from General Catalyst, Valor Equity, SV Angel, and others. They're planning to double headcount and are in hypergrowth mode.

You'll solve challenging engineering problems at the intersection of desktop software and AI, work alongside a high-calibre team, and have a genuine opportunity to influence the architecture of a category-defining AI product.

If you're passionate about full-stack engineering, native desktop development, and building production AI products, I'd love to hear from you.

Founding Machine Learning Engineer - AI Consumer Platform

📍 San Francisco, CA (5 Days In-Office)
💰 $200K - $375K Base + Competitive Equity
🛂 Visa Sponsorship Available for the Right Candidate

I'm partnering with a high-growth consumer AI company that's building one of the most exciting AI-native platforms in the dating and personal connection space.

Their AI doesn't just match profiles. It combines voice transcripts, images, and structured user data to create personalized AI companions and predict human compatibility with unprecedented accuracy. Following a recent seed round and rapid user growth to 10,000 users in San Francisco, they're expanding their engineering team and hiring a Founding Machine Learning Engineer to build the recommendation engine and agentic systems behind their platform.

This is an opportunity to work on end-to-end ML systems, recommendation engines, and AI infrastructure while helping shape a product that's redefining how people find real human connections.

What You'll Do

You'll take ownership of core ML capabilities that power Known's intelligence, working directly with the former head of ML at Uber Eats and Faire.

Key responsibilities include:

• Training and deploying ML models that form the core of our recommendation engine, driving personalized matchmaking at scale.
• Designing evals to assess recommendation ability and RL systems to learn from results data.
• Building personalization and long-term memory systems into Known's conversational AI.
• Using LLMs to enhance our suite of user-facing AI Agents.
• Owning the end-to-end lifecycle of your models, from ideation and training to deployment and monitoring.
• Working with an ultra-personal dataset combining voice transcripts, images, and structured user data to predict human compatibility.

What We're Looking For

We're looking for engineers who have built and operated production ML systems at consumer startups - not just supported infrastructure at big tech companies.

You'll ideally have:

• 4-8 years of experience training and deploying ML models in production, leveraging PyTorch and TensorFlow.
• Experience building recommendation or matchmaking systems at consumer companies (e.g., Uber/Lyft routing, apartment finding, Google Maps routing, autonomous vehicles). NOT looking for ads ranking experience.
• Experience at an early-stage company (under 50 employees) and/or being the first or second ML hire at an early-stage company. Big tech is only acceptable if you also have early-stage startup experience.
• Experience with neural network models and applying or fine-tuning LLMs to build agentic systems or complex conversational AI.
• Experience with model deployment and basic infrastructure (e.g., Docker, Kubernetes, AWS/GCP).
• A desire to build intelligence that could lead to a million marriages and babies.
• Proficiency in Python/TypeScript and comfort with ML frameworks (PyTorch/TensorFlow).

What We're Not Looking For

Background solely in big tech 

Primarily ad ranking or ad systems ML background.

Purely MLOps/infra focused without recommendation systems modeling experience.

Over-indexed on RAG/data pipelines without personalization work.

PhD-only career with no applied industry experience.

Why Join?

This is a chance to join a consumer AI company with exceptional momentum, strong product-market fit, and ambitious growth plans. They're sprinting toward Series A and have a clear path to scaling.

You'll solve challenging ML problems, work alongside a high-calibre team, and have a genuine opportunity to influence the architecture of a category-defining AI platform that helps real people find real human connections. No swiping, just real dates and proven chemistry.

If you're passionate about machine learning, recommendation systems, and building production AI platforms at consumer startups, I'd love to hear from you and please apply.

Founding Full Stack Engineer (Applied AI)

📍 California (Remote - SF Bay Area Preferred)
💰 $160K - $250K Base + Competitive Equity
🛂 Visa Sponsorship Not Available (Open to TN Visas)

I'm partnering with a high-growth AI company that's building one of the most exciting AI-powered customer lifecycle management platforms in the enterprise software space.

Their AI agents don't just answer questions. They rebuild customer operations from the ground up, orchestrating the perfect blend of digital and human touchpoints to enable high-touch service at scale. Following a $4M seed round from Acrew Capital and Emerson Collective, with angels from LinkedIn, BetterUp, Glean, Scale AI, and Gusto, they're expanding their engineering team and hiring a Founding Full Stack Engineer to help shape their product and culture from the ground up.

This is a founding-team seat. You'll work directly with enterprise customers, own product and infrastructure areas end-to-end, and have a significant influence on the product roadmap and company strategy.

What You'll Do

You'll take ownership of core platform capabilities that power AI-powered customer lifecycle management, working directly with the CTO and co-founders.

Key responsibilities include:

• Building and maintaining backend services and APIs (Python, FastAPI) and frontend experiences (React) across the full stack.
• Working directly with enterprise customers to understand use cases and co-build custom AI agents and workflows.
• Owning product and infrastructure areas end-to-end, from problem identification to shipping, including architectural decisions.
• Collaborating closely with the co-founders and having a significant influence on the product roadmap and company strategy.
• Operating in a fast-paced, ambiguous environment, taking ownership of outcomes from problem identification to shipping features.

What We're Looking For

We're looking for a generalist engineer who can work across the full stack, interface with customers, and help shape our product and culture from the ground up.

You'll ideally have:

• 5-7 years of experience in full-stack software engineering.
• Experience at an early-stage, VC-backed (Seed to Series B) startup.
• Experience at a large, well-known tech company (e.g., Google, Meta, etc.) in addition to startup experience.
• Strong backend development experience with Python and FastAPI.
• Experience with React or equivalent modern frontend framework.
• Experience or strong interest in applied AI.
• Strong communication skills - can interface directly with enterprise customers and translate requirements into features.
• A demonstrated promotion history in at least one previous role.
• BS/MS in Computer Science, Engineering, or related technical field.
• California-based strongly preferred (SF Bay Area ideal).

What We're Not Looking For

• Multiple short stints (<1 year) at different companies.
• Specialized experience only in ML, data science, or DevOps.
• Long tenure (5+ years) at a single big tech company with no career progression.
• Heavily UI/UX-focused backgrounds without strong backend capability.
• No LinkedIn profile picture.

Why Join?

This is a chance to join a business tackling the right problem at the right moment. Most AI investment has gone to support chatbots and pre-sales prospecting. Cora is tackling the messy middle - long-running AI agents for post-sales lifecycle management (onboarding, QBRs, renewals, churn).

You'll work with a 3rd-time founder who scaled eng orgs to 100+ engineers. Backed by Acrew Capital and Emerson Collective with angels from LinkedIn, BetterUp, Glean, Scale AI, and Gusto. Real traction with customers including BetterUp, Fountain, Dialpad, Coursera, and more.

You'll have high-level ownership, own large chunks of product and infra, make real architectural decisions, and shape engineering culture. Weekly feedback loops, fast promotions, and deep exposure to cutting-edge applied AI - voice agents, memory systems, knowledge graphs, agentic workflows.

If you're passionate about full-stack engineering, applied AI, and building enterprise products at a founding-stage company, feel free to apply.

Sr AI Agent Engineer - Founding Team Seat
📍 Remote (US-Based)
💰 $180K - $220K Base + Meaningful Founding-Team Equity (Up to 1%+)
🛂 Visa Sponsorship Not Available

I'm partnering with a high-growth AI-native FP&A platform that's building one of the most exciting agentic AI systems in the enterprise software space.

Their AI agents don't just answer questions. They reason across structured financial data, business context, documents, and user instructions to deliver reliable, accuracy-critical outputs for multi-unit businesses. 25% of the nation's workforce operates inside brick-and-mortar buildings, and yet there is no technology purpose-built to support them. Following strong traction with PE-backed beta customers and a $4M+ oversubscribed seed round from General Catalyst and ENIAC Ventures, they're expanding their engineering team and hiring a Sr AI Agent Engineer to build the agentic core of their platform.

This is a founding-team seat. The equity, ownership, and influence reflect that. You will be in the room when we decide what to build, you will own how it gets built, and you will be expected to push back when you disagree.

What You'll Do

You'll take ownership of the agentic core of the platform, working directly with the CEO and co-founder to turn complex financial use cases into intuitive AI-powered experiences.

Key responsibilities include:

• Designing, building, and shipping the agentic core using TypeScript/Bun with Mastra, turning structured financial data and customer context into reliable AI outputs.
• Creating agentic systems that reason across structured financial data, business context, documents, and user instructions.
• Developing robust tool-calling, planning, memory, retrieval, and orchestration layers for production AI agents.
• Connecting agents to internal data sources, third-party APIs, databases, documents, and business logic.
• Building guardrails, validation systems, and evaluation workflows to improve accuracy, reliability, and trustworthiness.
• Working closely with product, engineering, and founders to turn complex financial use cases into intuitive AI-powered product experiences.

What We're Looking For

We need a senior engineer (5+ years) who has personally built and shipped a complete AI agent system in production - not a prototype, a demo, an internal tool, or a thin wrapper around an LLM API. You've owned the harness end-to-end: orchestration/planning, tool-calling, memory, retrieval/RAG, evaluation, and guardrails - with real users relying on what you shipped. Building only one slice, or agent work that never reached production, is not enough for this seat.

You have a real software engineering foundation underneath - systems design, debugging, architectural judgment - and you're ready to operate at founding intensity.

You'll ideally have:

• 5+ years of software engineering experience with strong TypeScript proficiency.
• Personally built and shipped a complete AI agent system in production, owning the full harness end-to-end (orchestration, tool-calling, memory, retrieval, evaluation, guardrails).
• Experience with LLM orchestration, structured outputs, function calling, embeddings, and RAG.
• Experience with prompt engineering and validation systems for reliable AI outputs.
• Startup experience - bonus if early stage (founding team, first 10-20 engineers, or own startup) - operated without structure.
• A technical undergraduate degree (CS, data science, or similar) from a top US university.
• AI agent experience in a domain that transfers - reasoning over structured data, memory, orchestration, multi-step workflows, or accuracy-critical outputs.
• Mastra framework experience is a strong plus.

What We're Not Looking For

Currently in an engineering manager role and no longer coding daily.

AI agent experience confined to non-transferable domains with no other production agent work (e.g., blockchain/Web3, voice-AI/IVR).

Experience focused solely on one slice of the agent harness without end-to-end ownership.

Why Join?

This is a chance to join a business with exceptional momentum. The CEO scaled a multi-unit business to 1,000+ employees and exited to private equity. The co-founder co-founded Veho Technologies (valued at $2B) and has multiple tech exits. They're a mature founding team - not first-time founders figuring things out.

Backed by General Catalyst and ENIAC Ventures. Round was oversubscribed with ~10 term sheets. Several years of runway.

This is a founding-team seat with meaningful equity (up to 1%+ for the right person). You'll sit alongside the CEO and co-founder as the AI horsepower of the business. Direct access to founders, flat structure, no management layers. If you want it, you'll interface with some of the largest PE funds in the world (TPG, General Atlantic, GTCR, Warburg Pincus).

You'll solve challenging AI engineering problems, work alongside a high-calibre team of experienced builders, and have a genuine opportunity to shape the architecture of a category-defining AI platform.

If you've built and shipped complete AI agent systems in production and are ready for founding-team ownership, I will be waiting for your application.

Account Executive

AI Startup

£75k + Double OTE (£150k) + Equity

London

The Company

We're working with a fast-growing AI startup that's changing how businesses manage and grow their client relationships.

Having recently secured £2.5 million in seed funding, they're building out their commercial team ahead of a planned Series A next year. With around 30 customers already on board and strong market demand, this is an opportunity to join at an exciting stage of growth.

The business has developed an AI platform that analyses emails, meetings, Slack conversations and other customer interactions to give businesses a real-time view of account health.

Instead of relying on manual CRM updates or guesswork, their platform identifies which customer relationships are growing, where commercial risks exist, and where expansion opportunities can be found. It helps customer-facing teams make better decisions using live data rather than outdated information.

Their sales function has been founder-led until now, but they're now investing heavily in building a scalable go-to-market team.

The Role

As an Account Executive, you'll take ownership of the full sales cycle, managing deals typically worth between £15,000 and £50,000.

This is a genuine opportunity to help shape how the business sells. You'll work directly with the founders, influence the sales process, and partner closely with two Founding SDRs who are joining the business at the same time.

Responsibilities include:

• Owning the full sales cycle from prospecting through to close
• Generating your own pipeline alongside SDR support
• Running discovery meetings and building compelling business cases
• Managing multiple stakeholders throughout the sales process
• Working closely with the founders to refine the go-to-market strategy
• Providing market feedback to influence product and commercial direction

About You

You'll ideally have:

• 2 to 5 years' experience selling B2B SaaS solutions
• Experience running complex sales cycles from start to finish
• A track record of creating your own pipeline
• Strong discovery and qualification skills
• Confidence selling to multiple decision-makers
• A commercial mindset with the ability to demonstrate ROI
• The ambition to join an early-stage company where you can help build the sales function

What's on Offer

• £75,000 base salary
• £150,000 OTE
• Genuine opportunity to influence GTM strategy
• Direct access to founders and senior leadership
• Early-stage equity opportunity
• Office based in Central London, near Tottenham Court Road

If you're looking for more ownership, greater influence, and the chance to help build a high-growth AI business from an early stage, apply now!

Software Engineer (Backend)

📍 San Mateo, CA (Hybrid)
💰 $165,000 - $265,000 Base + Equity
🛂 Visa Sponsorship Available (Case-by-Case)

Our client is building cutting-edge infrastructure that enables organizations to run and scale AI workloads across multiple cloud environments with greater flexibility, reliability, and efficiency.

They are seeking a Backend Engineer to help build the distributed systems and cloud infrastructure powering the future of AI computing.

What You'll Do

• Design and build scalable backend infrastructure services
• Develop cloud-native systems for large-scale AI workloads
• Improve orchestration, scheduling, reliability, and resource management capabilities
• Work on distributed systems operating across multiple cloud providers
• Collaborate closely with customers and engineering teams to solve infrastructure challenges

What We're Looking For

• 3+ years of backend engineering experience
• Strong distributed systems and cloud infrastructure background
• Experience with Python and/or Go
• Familiarity with Kubernetes and infrastructure technologies
• Passion for building scalable developer and infrastructure platforms

Tech Stack

Python • Go • Kubernetes • Terraform • AWS • GCP • Azure

Interested candidates are encouraged to apply and share examples of cloud platforms, infrastructure systems, or distributed services they have built and scaled.

Head of AI Enablement

Global Advertising Agency

London (Hybrid in office 3 times per week)

£180k base + 10% bonus

This isn't a role where you manage a tool rollout and call it done. There's no playbook yet. You're writing it.

Our client is a global advertising agency with a genuine challenger mindset. They work with major brands (who you'll know) and move fast. Right now, they're building their AI and systems capability from the ground up, and they need someone to own it end to end: the tools, the governance, the adoption, and the proof that it's actually working.

The problem?

Buying AI tools is easy. Making them stick is not. They've got ambition and budget, but they need someone who can take that and turn it into a machine: embedding Gemini into daily workflows, fixing the back-office systems nobody wants to touch, and running the kind of strategic projects that report directly to the COO and CIO. That's this job.

As Head of AI Enablement, you'll own the full picture. The AI rollout, the systems roadmap, the automation pipeline, and the governance framework that keeps it all honest. You won't just launch things. You'll be accountable for whether they actually deliver.

What You'll Own

• AI deployment. Lead the enterprise-wide rollout of Gemini, getting it genuinely embedded into how teams work, not just installed and ignored. Build a Centre of Excellence that shares what's working across the business.
• Automation pipeline. Find the opportunities, vet them, prioritise them, and move them from idea to delivery. Every initiative needs a clear ROI before it gets resourced.
• Systems ownership. Own the long-term roadmap for the agency's back-office applications (Deltek Maconomy, Deltek Workbook, SAGE, Greenhouse). Partner with department heads globally to translate operational pain into system fixes.
• Strategic projects. Act as a senior partner to the COO and CIO on the big stuff, including M&A integrations and operational efficiency programmes across the group.
• Governance and value realisation. Build the framework that keeps the portfolio honest: stage-gate approvals, clear accountability, and post-implementation reviews that check whether the intended benefits actually landed.

What They're Looking For

• Delivery track record. You've taken complex, messy problems and turned them into working solutions. Not prototypes or pilots. Things that shipped and made a difference.
• The hybrid mindset. You can talk AI API integrations with a developer in the morning and agency margins with an MD in the afternoon. Both conversations need to feel natural.
• Systems experience. You've managed enterprise technology in a large, international business services environment. ERP implementations, not just SaaS rollouts.
• AI fluency. You don't need to be a data scientist. You do need to know how to scope, prompt, and deploy AI tools to solve real operational problems, and you need to have done it.
• Seniority. 10+ years at mid to senior level, with enough gravitas to work directly with executive leadership and enough practicality to get your hands dirty when needed.

Bonus Experience/Nice to have

• Experience in advertising, media, or professional services.
• Background in M&A integration or post-merger systems work.
• Familiarity with building governance frameworks from scratch.

Why This One's Worth a Look

You're building, not inheriting. The governance framework, the AI adoption model, the systems roadmap: none of it exists yet. You're creating it.

Real accountability. You own benefit realisation, not just delivery. If the tools don't move the needle, you'll know before anyone else does.

Direct line to the top. You're reporting into and partnering with the COO and CIO on the work that matters most to the business.

It's current. AI in advertising is moving fast, and this agency wants to be ahead of it, not catching up.

Most roles like this ask you to run what's already there. This one asks you to build what doesn't exist yet. If that's the kind of problem you want to own, get in touch.

Founding Account Executive (UK & EMEA)

YC-Backed AI Compliance Startup

London / Remote (UK)

£90k - £120k + Double OTE + Equity

This isn't a role where you inherit a territory, a team, and a well-established playbook.

There is no playbook.

Our client is a Series A, YC-backed AI company helping some of the world's largest regulated businesses solve one of the biggest bottlenecks in marketing and compliance. Already trusted by major global brands across financial services and technology, they're now making their first commercial hire in EMEA.

The opportunity?

Build the region.

They need someone who can operate independently, open doors, create pipeline, win enterprise customers, and become the face of the business across the UK and Europe. You'll work directly with the founder and leadership team, helping define how the company wins outside North America.

This is not a role for someone who wants a steady stream of inbound leads or a large support structure around them.

It's for someone who enjoys building.

What You'll Own

• Building the EMEA market. Define target accounts, develop territory plans, build pipeline, and create a repeatable motion for growth across the region.
• Enterprise new business. Own the full sales cycle from prospecting through to close, selling six-figure SaaS deals into large, regulated organisations.
• Strategic account growth. Manage and expand several existing UK-headquartered enterprise customers, building relationships across legal, compliance, marketing, and business leadership teams.
• Market presence. Get out into the market. Meet prospects, attend events, build relationships, and establish credibility with buyers across financial services and other regulated industries.
• Executive engagement. Navigate complex buying groups and build business cases that resonate with senior stakeholders across multiple functions.
• Foundational GTM work. Share market feedback, refine messaging, and help shape how the company approaches EMEA as the team grows.
• Forecasting and ownership. Run your own territory, pipeline, and forecast with minimal oversight.

What They're Looking For

• Enterprise SaaS success. Experience carrying a significant quota and closing complex six-figure software deals.
• Builder mentality. You've created pipeline and opened new markets before, rather than relying solely on inbound demand.
• Regulated industry experience. Comfortable selling into financial services or other highly regulated sectors where buying processes are complex.
• Multi-stakeholder selling. Experience engaging legal, compliance, risk, marketing, and executive stakeholders throughout a deal cycle.
• Commercial independence. You know how to prioritise your time, manage a territory, and create opportunities without needing constant direction.
• EMEA knowledge. Familiar with the realities of selling across different European markets, cultures, and buying environments.

Bonus Experience

Nice to have, but not required:

• LegalTech, ComplianceTech, RegTech or AI software experience.
• Former founder experience.
• Experience selling to lawyers, compliance teams, or in-house legal functions.
• Exposure to marketing technology or content governance platforms.
• An additional European language.

Why This One's Worth a Look

• You're the first commercial hire in EMEA. The market, strategy, and future team are yours to help shape.
• Existing enterprise customers are already in place, but the biggest opportunity is what you build next.
• Average deal sizes range from $120k to $500k ARR with enterprise sales cycles.
• Direct access to founders and leadership. Your feedback will influence company strategy.
• Backed by top-tier investors with significant funding already secured.
• Quarterly travel to the US and opportunities to work closely with teams across New York and San Francisco.
• Equity alongside a highly competitive compensation package.

Most enterprise sales roles ask you to execute someone else's playbook.

This one asks you to write it.

If building a market from scratch sounds more exciting than inheriting one, apply now to find out more.

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.

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

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.

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.

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.

Nice to have

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

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.

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.