
Humaans · London
ABOUT US Humaans is building the next generation of infrastructure for the workplace; software designed for companies that are scaling fast, operating globally...
Humaans is building the next generation of infrastructure for the workplace; software designed for companies that are scaling
fast, operating globally, and pushing into new boundaries.
What started as a system of record has evolved into a broader platform for operating people globally. With Athena, our agentic AI
layer, Humaans moves beyond data management into intelligent orchestration, connecting workflows across HR, IT, Finance, and
Operations so organisations can act faster and with greater confidence, redefining how work gets done.
We work with ambitious teams across Europe and the US, from AI-native companies like Lovable, Poolside, Fyxer AI, and Tandem
Health, to established, high-growth organisations scaling internationally and through acquisition, including Quantexa, Sellpy,
Manychat, Gigs, Croud, and Threecolts. These teams don’t buy software for features,they buy leverage. The ability to run faster,
cleaner, and with more control as complexity compounds.
To date, we’ve raised $20m in venture funding from some of the most respected founders, operators, and funds in technology: Lachy
Groom (Physical Intelligence), Stewart Butterfield (Slack), Tobias Lütke (Shopify), Dylan Field (Figma), Jeff Weiner (LinkedIn),
Claire Johnson (Stripe), Oliver Jay (OpenAI), Jay Simmons (Bond) as well as Y Combinator, Moonfire, Frontline Ventures, Pathlight
Ventures, and Exor.
If you have massive ambition and want to work on a hard problem, with a small team that moves fast, at a moment when the category
is genuinely up for grabs - this is it.
Athena is an agentic AI platform for HR, and the category it sits in is being defined right now. There is no settled playbook for
deploying autonomous agents into a real enterprise, with all its messy data, legacy systems and high stakes. You will be one of
the people writing it.
This is the role that turns Athena from a product into outcomes inside the companies betting on us. You will be the closest thing
Athena has to a founder for each customer you take on: scoping the problem, mapping it to the product, building whatever is
missing, and owning the rollout until it is delivering real value. You are the technical authority customers trust, the engineer
we put in the room when the questions get hard, and the person whose read on what customers actually need shapes what we build
next.
It is the work we have done by hand to land our first enterprise deployments, with customers ranging from AI-native companies to
high-growth enterprises, Your job is to do it better, and at scale. Huge ownership and real stakes from week one.
cases, map them to the product, and drive successful go-lives.
the standard engineering loop allows.
behaviour, prompt patterns, and agent configurations.
real customer needs.
This role suits someone who is energised by ambiguity, likes owning outcomes in front of customers rather than behind them, and
does their best work when the pace is high.
production code.
credibility quickly.
speak to where the model behaved unexpectedly and what you did about it.
This is an in-person role. Our team comes together in the office Monday through Thursday, while most of the team collaborates in
person on Mondays, Tuesdays, and Thursdays.
Early stage startups can be messy – we know that. We're putting effort in providing you with the best employee experience and a
quality driven environment in exchange for trusting us.
HR tech is having its AI moment and we’re positioned to own it. Humaans started as a next-gen HRIS taking on large incumbents in a
massive market. We’ve since evolved into something even bigger: an AI platform that sits across workforce data and automates the
operational layer of HR entirely; the natural progression of what we’ve been building toward.
The product is highly differentiated. It’s built around a structured workforce data model that makes AI reliable in an HR context,
something no one else has gotten right. Customers notice the difference immediately.
We’re backed by Y Combinator, Lachy Groom, Moonfire, Frontline Ventures, and operators who’ve built some of the most consequential
software companies of the last decade: the founders of Slack, Figma, and Shopify, and Asana’s former CRO and Head of OpenAI
International.
We’re a small team with an unapologetically high bar. It shows up in the product, in how we communicate, and in the standards we
hold each other to.
At Humaans we’re looking for genuinely good people that are transparent and emphatic. We’re committed to providing equal
opportunities, a diverse and inclusive work environment, and ensuring a fair interview process for everyone. You’re welcome to
apply no matter your gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
We care about your privacy. When you apply for a role at Humaans, we’ll collect and process your personal data as part of our
recruitment process. This includes things like your CV, contact details, and any other information you choose to share. We may
also contact you about future opportunities. You can ask us to delete your data at any time. For more details, see our Privacy
Policy.
Location: London Office requirement : 2 days in the office - Significant travel required Employment type: Permanent Seniority level: Principal At GWI we’re always looking for extraordinary people who thrive on making an extraordinary impact. Right now we’re looking for an Forward Deployed Engineer to play a key role in our Solutions Consultants Team in London. If that’s you, and making a difference gets you out of bed in the morning, keep reading. It could be the start of something, well, extraordinary. SOUNDS GREAT, WHAT WILL I BE DOING? 🤔 As our Lead / Principal Forward Deployed Engineer you'll be embedded directly with our most strategic accounts, owning the end-to-end technical deployment of our agentic AI platform. This isn't a support role, and it isn't a solutions consultant with a fancy title — you'll write production code, own technical outcomes, and be the reason our biggest customers succeed and expand. You'll operate with the autonomy of a founding engineer and the commercial instinct of a GTM leader. A few things you'll be responsible for: 👉 Embed with our Tier 1 enterprise accounts and own end-to-end deployments of our agentic AI platform — from discovery through to production, including bespoke integrations, data pipelines, and workflow automations. 👉 Lead AI agents into production in complex environments (legacy systems, security, compliance), turning cutting-edge capability into measurable business outcomes. 👉 Partner with Enterprise AEs in late-stage sales cycles — leading proof-of-concept builds and assessing technical readiness to de-risk and accelerate the close. 👉 Surface patterns from the field and feed them back to product and engineering, acting as the bridge between customer reality and roadmap. 👉 Build out the FDE practice as it scales: repeatable deployment playbooks, success metrics, and mentoring mid-level FDEs. It's also fun; shaking things up is what working for GWI is all about. You'll need to be flexible, comfortable with continuous change, and working in a high-tempo environment. WHAT DO I NEED TO BRING WITH ME? 🧳 You’ll need to be able to demonstrate the core skills this role requires. You don't have to tick all the boxes right away; the important thing is that you’re willing to learn. Here’s what the team will be looking for in you: 👉 Significant experience in software engineering, solutions engineering, or a customer-facing technical role — with meaningful time spent shipping production code in complex enterprise environments. 👉 Demonstrable experience deploying AI or data-heavy products into large organisations — real production deployments, not just POCs. 👉 Strong full-stack or backend engineering fundamentals: Python essential, plus comfort across APIs, SQL, cloud infrastructure (AWS/GCP/Azure), and data pipelines. 👉 The ability to work through ambiguity and turn it into a concrete technical plan. 👉 Clear communication across technical and business audiences — you can tailor the same idea for an engineering lead and a commercial stakeholder. 👉 Willingness to travel to client sites across the UK and Europe (approximately 30–50% of the time). Nice to have: 👉 Hands-on experience with LLM deployment, AI agents, or agentic workflow automation. 👉 A background in a high-growth B2B SaaS or AI-native company. 👉 Experience in one or more of GWI's core verticals: financial services, media & agencies, consumer goods, or technology. 👉 Prior experience in an FDE, solutions architect, or technical account management function at a company with a named-account enterprise motion. Equally important is attitude. We want people who think big (to make an impact), ask why (to find a better way), and show respect (to everyone, at every level, all the time). Those are our values, and they’re a big part of what we’re looking for in you. WHAT’S IN IT FOR ME? 🎁 At GWI, you’ll find meaningful work, visible impact, and a culture that empowers you to do your best. Our package includes: 🌴 Time to recharge – 25 days’ annual leave, plus office closures over the holidays. 🧘 Health & wellbeing – Health cash plan, enhanced family benefits, carer days, and mental health support. 💸 Financial benefits – Competitive salary, 4% pension matching, and recognition programs that celebrate success. 🏡 Flexibility & balance – Flexitime, early Friday finishes, hybrid and remote options, plus a “work from home” budget. 💪 Career growth – Accredited learning, leadership development, and global career mobility. 🌎 Community & impact – DE&I initiatives, volunteering opportunities, donation matching, and payroll giving. Put all that together and GWI is the friendliest, most fulfilling place any of us has ever worked. DIVERSITY, EQUITY & INCLUSION Diversity is fundamental to who we are—both as a data company and as a workplace. Our data reflects global realities, and so must our teams. We strive to ensure our workforce is as diverse and inclusive as the insights we provide to our clients. As a Disability Confident employer, we welcome applications from disabled candidates and are committed to providing all necessary adjustments during the hiring process. We also actively encourage applications from underrepresented and marginalized communities. At GWI, you will find a place where you can contribute meaningfully, grow professionally, and belong fully. #li-hybrid #LI-NIKOSSS1
OUR MISSION At Ophelos, we believe in a different way to deal with debt. One that puts empathy and understanding front and centre, approaching our customers as individuals — no matter what they’re going through. For too long, people in debt have borne the brunt of poor industry practices. Intimidating tactics, time-consuming customer service and a one-size-fits-all approach that overlooks the reasons anyone can fall into debt in the first place. Meanwhile, businesses suffer too. Poor customer experience translates to poor customer satisfaction, high churn rates, bad brand reputation and ultimately missed opportunities. That’s why we’re taking a radically different approach. Pioneering an industry-first AI-native collections platform, we build products that help individuals clear their debts in a way that suits them, whilst providing businesses with an improved customer experience and game-changing insights into their customer base. Since our launch in 2021, we’ve worked with some of the UK’s leading companies, including Octopus, Scottish Power and Philips — helping millions of people move toward a more stable, debt-free future. In 2023, we were acquired by Intrum, Europe’s biggest credit management service and have begun the next phase in our growth — expansion into 17 European markets over the next two years. FORWARD DEPLOYED ENGINEER London-based with European travel (UK, France, Portugal and beyond) ABOUT THE ROLE Ophelos is at a pivotal moment. We've built a market-leading, AI-first debt resolution platform — and now we're deploying it at scale across Intrum's European business. As our Forward Deployed Engineer, you'll lead that effort. Intrum, our parent company and one of Europe's largest credit management businesses, manages debt on behalf of a wide range of merchant clients — retailers, telcos, financial institutions, and more — across multiple European markets. Your job is to onboard those clients onto the Ophelos platform: understanding their data, their business logic, their customer portfolios, and their contractual and regulatory context, and making sure Ophelos works correctly for each of them. Every client is different. They come with different data formats and quality standards, different definitions of what a debt case looks like, different regulatory obligations depending on their sector and market, and different expectations of how their customers should be treated. Your job is to absorb all of that, map it clearly, and translate it into a solution that works — at scale, across many clients, across multiple countries. This role sits at the intersection of solution architecture, technical consulting, and product partnership. You'll spend as much time in discovery conversations and design workshops as you will in configuration files and integration specs. You'll need to be equally credible with a compliance lead in Paris, a data engineer in Lisbon, and a product manager in London. WHAT YOU'LL DO Onboard merchant clients onto Ophelos Each client Intrum brings to Ophelos has its own data structures, business rules, and portfolio characteristics. You'll lead the technical onboarding — understanding their data, designing the ingestion and mapping layer, and ensuring Ophelos represents their cases accurately and operates correctly on their behalf. Navigate localisation and regulatory complexity Operating across European markets means dealing with materially different regulatory frameworks, debt collection norms, and consumer protection requirements — which vary by country, and sometimes by client sector. You'll develop deep fluency in what those differences mean technically, and design the configuration and solution patterns that allow Ophelos to serve each context correctly. Design solutions, not just integrations You'll translate complex, sometimes ambiguous client requirements into clean solution designs — mapping existing data structures, business logic, and operational processes to Ophelos's platform. This isn't just about getting data from A to B; it's about understanding the business intent behind every field and flow, and making sure nothing gets lost in translation. Own the data ingestion layer A significant part of this role involves designing and owning how each client's data arrives into Ophelos — in the right shape, with the right validation, from the right sources. You'll work across varying data formats, system conventions, and quality standards, and build patterns that make future onboarding progressively more efficient. Close the feedback loop You're Ophelos's eyes and ears in the field. When you encounter a recurring client need, a gap in our product, a bug that only surfaces in a specific market context, or a feature that would unlock onboarding for a whole segment of clients — you bring that back clearly and systematically. You'll log issues, articulate feature requests with context and business case, and act as a structured conduit between the real world and Ophelos's product and engineering teams. Build the onboarding playbook Document what you learn. Build reusable patterns, data mapping frameworks, and localisation guides that make each subsequent client onboarding faster and more predictable than the last. Use LLM tooling as a force multiplier Like all Ophelos engineers, you'll work in an AI-first way — using Claude Code, Codex, and OpenSpec to accelerate integration work, draft specs, and explore solutions faster than traditional approaches allow. THE OPHELOS PLATFORM You'll need to develop deep familiarity with our stack — not necessarily to build core features, but to understand its capabilities, constraints, and integration surface thoroughly: * Languages: TypeScript, Python, Ruby * Backend frameworks: FastAPI, Ruby on Rails * Data: PostgreSQL (via PlanetScale), Databricks * Workflow orchestration: Temporal * Financial ledger: TigerBeetle * Infrastructure: AWS, Kubernetes * Observability: Datadog * LLM tooling: Claude Code, OpenSpec, Codex ABOUT YOU You're a systems thinker with technical depth and strong commercial instincts. You've probably worked in fintech, financial services, or enterprise SaaS — in a role that required you to get inside a client's world, understand it thoroughly, and design solutions that actually fit. You might come from a solutions engineering, implementation consulting, or technical architecture background. What matters is that you're equally comfortable shaping a solution design and getting hands-on with the data or configuration to make it real. You're energised by variety — different clients, different markets, different problems — rather than unsettled by it. You'll likely have: * Experience in a solutions architect, forward-deployed engineer, technical consultant, or implementation lead role — ideally at a fintech, payments, or financial services company * Strong systems thinking: you naturally map business processes, data flows, and client-specific logic into coherent technical designs * Comfort with data — understanding schemas, transformation logic, validation rules, and ingestion pipelines at a practical level * Experience navigating regulatory or compliance requirements that vary across markets, sectors, or client types * The ability to communicate complex technical concepts clearly to non-technical stakeholders, and business context clearly to engineers * A structured approach to discovery: you ask good questions, document rigorously, and turn ambiguity into clarity * Willingness to travel regularly across Europe (primarily UK, France, and Portugal, with further markets to follow) Bonus points for: * Background in debt management, credit, collections, or payments — understanding the domain accelerates everything * Working knowledge of French * Experience onboarding multiple enterprise clients with divergent data models or business logic onto a shared platform * A track record of feeding structured product feedback from deployments back into a product organisation WHY THIS ROLE This is a rare opportunity to operate at the centre of a major European expansion — with real complexity, real stakes, and direct influence over how a genuinely impactful product gets adopted across a continent. You'll develop a breadth of domain knowledge, technical context, and stakeholder experience that's hard to find anywhere else. And you'll be helping Ophelos do what it exists to do: support households and businesses in breaking the cycle of problem debt. WORKING ARRANGEMENTS Based in London, with regular travel across Europe — primarily UK, France, and Portugal, with other markets to follow as the rollout expands. Ophelos operates on a hybrid model with three days per week in our office near Liverpool Street; during active client onboardings, on-site presence will be required. Ophelos is an equal opportunities employer. We are committed to building a diverse and inclusive team. ABOUT OUR TEAM Ophelos launched in June of 2021, backed by investors such as AlbionVC, Connect Ventures and Fly Ventures. In 2023, we were acquired by Intrum, Europe’s biggest credit management service. Our growing team has team helped build some of the world’s most successful businesses, including the likes of Monzo, Google, Oracle, ASAPP, IBM and more — in addition to pioneering innovative products, sitting at the intersection of enterprise, financial technology, artificial intelligence and academia, working with institutions such as Oxford University, the University of Amsterdam and the University of Hong Kong. OUR VALUES Supporting customers and businesses to improve their financial health is a long-term mission. Our company values act as our north star, steering our every move as an organisation and are the backbone of our unique company culture. Our values and culture allow us to stay true to our larger purpose, even as we continue to grow at a rapid pace. Customers and Clients first – We exist to help real people move through debt and to get clients paid back. This commitment drives how we design products, deliver services, and interact with customers and clients daily. Dream big – We have ambition and drive to succeed - we’re not just raising the bar, we’re confidently asserting ourselves as the benchmark. Get it done – We’re decisive and embrace a sense of urgency; we don’t let opportunities get away from us. We’d rather act quickly and take informed risks, iterating and learning as we go. Win as one - We work as one team, supporting each other and aiming for shared goals. At Ophelos, the team isn’t just individual departments - it’s all of us together. We challenge and support each other because we care about everyone’s growth and success. Ophelos is committed to creating a diverse work environment and is proud to be an equal opportunity workplace, providing equal employment and advancement opportunities to all team members. We are building an environment where every Ophelos team member can thrive, feel a sense of belonging, and do the best work of their careers. We value diversity and recruit, hire, and promote individuals solely based on talent, qualifications, competence, and merit. We evaluate candidates without regard to race, colour, religion, age, sex, sexual orientation, gender identity, national origin, disability, or other protected characteristics as required by law and as a matter of our company values. GDPR NOTICE When you apply to a job on this site, the personal data contained in your application will be collected by Ophelos ("Controller"), located at 1 Finsbury Ave, London EC2M 2PF, and can be contacted by emailing support@ophelos.com. Controller's data protection contact is Kofi Barnes, who can be contacted at support@ophelos.com. This notice explains how we process your personal data throughout our recruitment process, including at the interview stage described below. Applying for a role with Ophelos is subject to the practices described in this notice — it is not a separate agreement you sign, but a description of how the recruitment process works. You won't be given a separate notice at each stage; Ophelos retains discretion over which of the described tools and processes are applied to any given application or interview, within the purposes set out below. This discretion does not extend to introducing automated decision-making without human review — that is addressed separately below. What we use your data for Your personal data will be processed for the purposes of managing Controller's recruitment-related activities, which include reviewing applications, setting up and conducting interviews and tests, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring process. As part of this process, we use software tools — including AI-assisted tools — to help us organise, screen, and evaluate applications and interviews. This includes: * Automated analysis of CVs and application materials to identify relevant skills and experience * Automated analysis of interview transcripts to help summarise and score responses (see "Interviews" below) * Generating scores, summaries, or insights to assist our recruiters Currently, these AI-assisted outputs are advisory only. A human recruiter reviews every application and every AI-generated score or summary before any decision is made, and no application is filtered out or rejected by an automated process alone. We may in future use automated tools to make, or take part in making, decisions about your application without human review at that stage, if we do so in a way that complies with applicable law at the time — for example, by obtaining your explicit consent, or where the decision is necessary for entering into a contract with you, and in either case only with appropriate safeguards, including your ability to request human review of, and to contest, that decision. If we intend to introduce this, we will update this notice and separately inform you before it applies to your application — this notice alone does not authorise it. We also use historical, aggregated recruitment data to improve our processes generally — for example, to better understand which factors tend to be associated with successful hires. Where this involves data from past applicants, it is anonymised or aggregated before use, and is not used to make any decision about a specific individual. Such processing is legally permissible under Art. 6(1)(f) UK/EU GDPR as necessary for the legitimate interests pursued by the Controller: the solicitation, evaluation, and selection of applicants for employment, and the improvement of Controller's recruitment processes. Interviews — recording and transcription If you're invited to an interview conducted by video or phone call, it will be recorded and automatically transcribed as a standard part of our recruitment process — this is described in this notice, which applies to your application as explained above. Where an interview is recorded: * The interview will be recorded and transcribed using our video-calling provider (Google Meet). * The transcript will be processed by AI tools (including models provided by Anthropic and Google) to help generate a summary and structured notes for the interview panel, and to help train and improve our own recruitment tools as described above. * The recording, transcript, and any AI-generated summary will be stored on Ophelos's systems (hosted via Cloudflare) and in Greenhouse. * A human interviewer/panel always reviews the AI-generated summary as part of forming their own assessment — it is a starting point for the panel, not a decision in itself. Recording and transcribing interviews in this way is necessary for us to evaluate all candidates fairly and consistently, and is carried out under our legitimate interests (Art. 6(1)(f) GDPR) in running a fair, well-documented recruitment process. Who we share your data with Your personal data will be shared with the following processors, engaged by Controller to help manage its recruitment and hiring process: * Greenhouse Software, Inc. — applicant tracking system (United States) * Google LLC — video interview hosting/recording (Google Meet), and AI models used to help analyse application and interview materials (United States) * Anthropic, PBC — AI models used to help analyse and summarise application and interview materials (United States) * Cloudflare, Inc. — infrastructure and data storage supporting our recruitment tools [confirm storage region before publishing] We use application and interview data, including through AI-assisted tools, to train and improve our own internal recruitment tools and models — for example, to refine how we identify relevant skills and experience, and to better understand what tends to be associated with successful hires. This is part of how we evaluate and improve our recruitment process on an ongoing basis. The third-party AI providers who process this data on our behalf do not use it to train their own general-purpose AI models — it is used only to generate the specific outputs described in this notice. International data transfers Because the above providers are located in or transfer data to the United States, if you are located outside the United States, your personal data will be transferred to the United States once you submit it or once your interview is processed. Where the European Commission has not made an adequacy determination covering such a transfer, it is subject to appropriate safeguards, including Standard Contractual Clauses and/or the EU-U.S. Data Privacy Framework where the recipient is certified. You can obtain a copy of the relevant safeguards by contacting support@ophelos.com. How long we keep your data Your personal data, including any interview recordings, transcripts, and AI-generated summaries, will be retained for the duration of the recruitment process and for 24 months afterwards, to allow us to consider you for other roles and manage any related legal claims, after which it will be deleted or anonymised. You can request earlier deletion at any time by contacting support@ophelos.com. Your rights Under the GDPR, you have the right to request access to your personal data, to request that it be rectified or erased, and to request that processing be restricted. You also have the right to data portability and the right to object to processing based on legitimate interests, including interview recording — though for the reasons explained above, we may not be able to progress an application where a candidate objects to standard recording of the interview stage. In addition, you may lodge a complaint with an EU or UK supervisory authority (in the UK, the Information Commissioner's Office).
ABOUT THE JOB We’re removing one of the last great barriers to progress in the physical world. While software moves fast, industries like aerospace, healthcare, and energy are still slowed by outdated, manual systems. We are on track to raise our Series A, backed by a 14× oversubscribed $4.5m seed round from Tier-1 VCs such as Coinbase, Reddit, Klarna, and Spotify. Our world-class team includes former unicorn founding engineers and talent from X, Google, Amazon, and Yandex. We value people who want to win and thrive in high-ownership environments. We’re building the system that lets complex, real-world work move at software speed. WHO WE ARE LOOKING FOR We’re looking for a Forward Deployed Engineer who thinks in customer workflows, not tickets or isolated features. This is a role for someone who wants to sit with users, decide what should exist, build it end-to-end, and put it in their hands. You will fit right in if you have experience with: * Customer Embedding — Work directly with customers to understand their real workflows * Product Engineering — Design and build end-to-end user workflows, from UI to backend logic and data * Domain Translation — Translate messy real-world processes into clear, intuitive software * Frontend — Build production-grade UI using modern frontend frameworks (React, TypeScript) * Backend — Implement APIs, business logic, and data models that support complex workflows * AI Integration — Design and integrate AI-powered features (LLMs, agents, model-backed APIs) into customer workflows * Product Judgment — Be opinionated about what to build, what not to build, and when to ship * Ownership — Build fast and ship production-grade systems with high ownership WHAT YOU WILL DO * Ship from Day 1 — Deploy to production immediately and own real product surface area * Own it end-to-end — Run customer calls, write the spec, build it, and ship it * Solve real problems — From UX polish to backend logic to jumping on customer calls WHAT WE ARE LOOKING FOR TECHNICALLY * Strong experience with TypeScript and modern frontend frameworks (React or equivalent) * Comfortable building backend services in Python * Experience integrating AI systems (LLMs, agents, model-backed APIs) into production products * Ability to reason about complex workflows, not just CRUD * Comfort talking directly with customers, including non-technical domain experts Strong plus if you have: * Founder or ex-founder experience * Early-stage or stealth startup background * Founder fellowships or similar environments (EF, YC, Antler, etc.) * Experience as a forward-deployed / solutions engineer (Palantir, Ramp, Scale, etc.) * Experience building AI-powered products in production * Experience working where requirements were unclear and evolving YOUR FIRST MONTH * Ship to production from day one * Own problems end-to-end, from definition to deployment * Do what needs doing, including UX polish, debugging, and customer interaction WE OFFER * Pace and purpose — In-person in London (visa sponsorship available) * No friction — Relocation, visas, meals, and tools fully covered * A tight-knit team — High standards, high trust, no politics