Classically Trained Engineer

Unlikely AI

At UnlikelyAI, we are building the future of AI: one that is reliable, accurate and transparent. Our neurosymbolic technology harnesses the power of LLMs and generative AI, and combines it with classical symbolic technology to produce hallucination-resistant artificial intelligence for high-trust applications. The Role The Principal Product Manager is a senior IC role that stays close to the work. You’ll contribute directly, roll up your sleeves when needed, and lead by doing. You’ll work closely with the executive team to transform our technological advantages and market insights into scalable, repeatable product offerings that can have impact across industries. This role demands comfort with ambiguity, strong product instinct, and the ability to turn uncertainty into a clear, actionable product vision. As UnlikelyAI grows, you will also build and scale a world-class product function, embedding a culture of clarity, ownership, and impact. It’s a role that combines strategy, execution, and leadership, offering the opportunity to shape both our long-term direction and the day-to-day practices that drive product excellence. What You’ll Do In this role, you’ll be responsible for turning our vision and technology into world-class products: * Define and evolve the product vision and roadmap in close partnership with leadership. * Translate cutting-edge technology into user-centric product experiences that deliver real value. * Identify and validate scalable opportunities in regulated, risk-sensitive markets. * Act as the “CEO of the product,” ensuring strategic alignment, cross-functional coordination, and outcome ownership. * Establish robust product management practices across prioritisation, planning, validation, release, and iteration. * Champion customer insight and product analytics to drive experimentation and continuous learning. * Partner with engineering and research to translate innovation into magical products. What We’re Looking For We’re looking for someone who can combine strategic vision with strong execution: * 7–10+ years in product leadership roles, ideally in high-stakes or regulated domains. * Proven success creating and driving product strategy in highly ambiguous, evolving environments. * Strong technical fluency in AI/ML fundamentals. * Track record of launching and scaling impactful enterprise or infrastructure products. * Ability to zoom between strategic direction and executional detail. * Excellent leadership and people skills. * Analytical, structured thinker with strong communication and judgement. * Entrepreneurial mindset with a bias for action and impact. What’s in it for You As our Principal Product Manager you’ll play a pivotal role in shaping our future: * Join a world-class, collaborative team with huge ambitions. * Shape the foundational layers of AI in a novel neurosymbolic approach. * Work on cutting-edge tech in a creative, fast-moving environment where your decisions will have real impact. Working at UnlikelyAI We offer a range of benefits designed to support our team's wellbeing and work-life balance: * We have a hybrid working arrangement, flexibly balancing working from home and office-based working. 3 days in the office is encouraged. * Our office is located in Bloomsbury, approximately a five minute walk to both Tottenham Court Road and Holborn stations * We provide free team lunches every Tuesday, Wednesday and Thursday * We schedule a variety of optional social and extra-curricular activities * We have an annual offsite, usually to an international location, where we can work and socialise in the sun   Inclusion and Equal Opportunities We are committed to having a truly diverse team where everyone is encouraged to be their authentic selves. We are an equal opportunity employer and do not discriminate based on gender, race, religion, sexual orientation, national origin, political affiliation, disability, age, marital status, medical history, parental status or genetic information. We are committed to fostering an inclusive environment where everyone feels respected, supported, and able to thrive. If there is anything we can do to make the recruitment process more accessible or comfortable for you, please let us know.

Unlikely AI

At UnlikelyAI, we are building the future of AI: one that is reliable, accurate and transparent. Our neurosymbolic technology harnesses the power of LLMs and generative AI, and combines it with classical symbolic technology to produce hallucination-resistant artificial intelligence for high-trust applications. THE ROLE We're hiring a Technical Product Manager to lead our platform strategy and execution. This is a hands-on role that requires deep technical expertise, systematic thinking, and proven experience working with complex enterprise customers. You'll work at the intersection of cutting-edge AI technology and real-world enterprise needs, translating ambiguous customer requirements into clear product direction while maintaining a strategic view across multiple customer segments. This isn't about writing engineering specs – it's about leveraging technical depth to set realistic requirements, inform roadmaps, and create clarity from complexity. WHAT YOU'LL DO You'll own the developer platform product from strategy through execution: * Lead customer discovery with enterprise clients, extracting accurate functional requirements from ambiguous needs and translating them into actionable product direction. * Define product vision and roadmap that balances individual customer requests with broader platform scalability and long-term strategic goals. * Apply deep technical understanding of AI and platform development to set realistic requirements (e.g., understanding ML accuracy limitations to avoid specifying unachievable targets). * Manage complex stakeholder dynamics across engineering, sales, research, and leadership – including constructively challenging decisions when warranted. * Create rigorous product documentation (PRDs, specs, strategy documents) that synthesises research and stakeholder input with analytical clarity. * Partner closely with engineering teams, understanding the boundary between requirements and implementation without over-specifying solutions. * Navigate enterprise sales cycles and multi-stakeholder complexity while maintaining product vision against competing pressures. WHAT WE'RE LOOKING FOR Essential: * Technical degree (computer science, engineering, or related) with prior experience in a technical role. * 4+ years in technical product management roles in enterprise software/SaaS * Proven track record working with large, complex enterprise customers at scale * Deep understanding of AI and platform development with genuine passion for the space * Exceptional analytical and systematic thinking – ability to synthesise massive volumes of complex information * Strong communication skills and confidence to challenge senior leadership constructively * Evidence of rigorous analytical work through high-quality documentation (we'll ask for samples) You'll thrive in this role if you: * Use technical knowledge to inform requirements, not dictate engineering solutions * Can lead complex customer conversations and extract signal from noise * Produce clear, well-researched specs that demonstrate thorough stakeholder synthesis * Balance accommodating customer needs with maintaining broader product vision * Are comfortable with ambiguity and turn it into actionable clarity * Navigate between tactical delivery and strategic "true north" – you know where we're ultimately headed while executing what's needed now * Have a strong personality without being defensive – independent thinking is essential WHAT'S IN IT FOR YOU * Shape a novel neurosymbolic AI platform working with world-class enterprise customers * Work in a fast-moving, technically sophisticated environment where clarity of thought is valued * Influence both product direction and the evolution of our product function Join a collaborative team tackling genuinely hard problems in AI. Working at UnlikelyAI We offer a range of benefits designed to support our team's wellbeing and work-life balance: * We have a hybrid working arrangement, flexibly balancing working from home and office-based working. 3 days in the office is encouraged. * Our office is located in Bloomsbury, approximately a five minute walk to both Tottenham Court Road and Holborn stations * We provide free team lunches every Tuesday, Wednesday and Thursday * We schedule a variety of optional social and extra-curricular activities * We have an annual offsite, usually to an international location, where we can work and socialise in the sun. Inclusion and Equal Opportunites We are committed to having a truly diverse team where everyone is encouraged to be their authentic selves. We are an equal opportunity employer and do not discriminate based on gender, race, religion, sexual orientation, national origin, political affiliation, disability, age, marital status, medical history, parental status or genetic information. We are committed to fostering an inclusive environment where everyone feels respected, supported, and able to thrive. If there is anything we can do to make the recruitment process more accessible or comfortable for you, please let us know.

Unlikely AI

ABOUT US At UnlikelyAI, we are building the future of AI: one that is reliable, accurate, and transparent. Our neurosymbolic technology harnesses the power of LLMs and generative AI, and combines it with Universal Language – our proprietary symbolic technology that bridges the gap between probabilistic machine learning and deterministic classical computing. Our products are already in use with major enterprises – including tier-1 banks and leading accountancy firms – across audit, compliance, and financial services. In compliance, we combine symbolic decision trees with LLM-powered evidence extraction to catch errors in financial reporting that human reviewers miss. In financial services, we use neurosymbolic guardrails to deliver accurate and explainable outcomes at scale. We are now building toward a platform – a public API and platform experience that will make our core neurosymbolic capabilities available to a broader set of customers and use cases. This is a pivotal moment: we're transitioning from bespoke customer engagements into a scalable product platform, and we need exceptional engineers to help us get there. THE ROLE To meet the demands of our growing commercial momentum, we are looking for a smart, dedicated senior software engineer to join our team. We want someone who thrives on diving deep into code to solve challenging and novel problems. You will have extensive software engineering experience, with exceptional coding ability, ideally including experience in high-growth start-ups. This role will play a major part in developing our core capabilities, which span symbolic reasoning (decision trees, propositional graphs, knowledge graphs), document ingestion pipelines, and the APIs that expose these to customers. You'll work on genuinely novel problems at the intersection of classical symbolic AI and modern LLMs – for example, how to represent regulatory knowledge as machine-evaluable rules, or how to build feedback loops that improve system accuracy over time. You'll work within a shared monorepo alongside software engineers, research engineers, and applied scientists in a heavily cross-functional environment. We operate in small, focused product teams, supported by shared infrastructure, internal tooling, and an R&D function. WHAT YOU MIGHT WORK ON In your first months, you could find yourself working on any of the following: * Building the infrastructure for our new public API, including authentication, scalability, and developer documentation. * Improving our document ingestion pipelines to handle new input formats (e.g. PDF, Word) and new regulatory jurisdictions. * Developing evaluation frameworks and benchmarks to measure and improve system accuracy. * Scaling our deployment approach for enterprise customers with specific cloud and security requirements. * Improving internal tooling and developer experience across the monorepo. * Working on the symbolic reasoning engine that powers our products – including decision tree evaluation, rule generation, and knowledge graph construction. YOU'LL BE SUCCESSFUL HERE IF... * ...you have strong proficiency in Python, including writing well-typed, well-tested code in a collaborative codebase. * ...you've tackled complex algorithms and data structures and have experience working with non-trivial algorithmic problems. * ...you care deeply about production-quality engineering – you have a track record of advocating for software quality, improving engineering standards, and championing best practices. * ...you thrive with end-to-end ownership – you've led the process from ideation to production for brand-new software systems. * ...you have experience with cloud infrastructure (AWS preferred) – services such as S3, ECR, ECS/EKS, and infrastructure managed via Terraform or similar. * ...you have a bias for action – you move quickly, make informed decisions, and iterate without waiting for perfect information. * ...you have a relevant degree in Computer Science, Mathematics, Engineering, or STEM – or equivalent practical experience. OTHER SKILLS You don't need to tick every box below, but any of the following would strengthen your application: * Monorepo experience – comfortable working in a large, shared codebase with multiple product teams contributing. * CI/CD pipelines – hands-on experience with GitHub Actions or similar. * Experience with document processing pipelines – PDF parsing, OCR, structured data extraction. * Familiarity with knowledge representation – decision trees, knowledge graphs, ontologies, or symbolic reasoning systems. * Experience with LLM integration in production systems – prompt engineering, evaluation, working with APIs such as Gemini, Claude, or OpenAI. * Frontend experience with React and TypeScript – we value engineers who can contribute across the stack when needed. * Experience in regulated industries – fintech, audit, compliance, insurance, or banking. * Familiarity with the modern Python tooling ecosystem: uv for package management, ruff for linting, pyright or similar type checkers. * Experience with observability and monitoring tools such as Datadog. HOW WE WORK We're a team of around 30 people based primarily in the UK. We operate a hybrid working policy, with three days a week in our Central London office. Engineering is organised into product-focused squads, supported by shared infrastructure and an R&D function. We work in a monorepo, deploy to AWS, and care deeply about developer experience – we're actively investing in modernising our tooling, CI, and repository structure. We run hackathons, we have strong opinions about code quality (held loosely), and we ship often. Our culture is collaborative and low-ego: engineers regularly move between teams, pair on hard problems, and contribute ideas regardless of seniority. We take the work seriously, but not ourselves. INCLUSION AND EQUAL OPPORTUNITIES We are committed to having a truly diverse team where everyone is encouraged to be their authentic selves. We are an equal opportunity employer and do not discriminate based on gender, race, religion, sexual orientation, national origin, political affiliation, disability, age, marital status, medical history, parental status or genetic information. We are committed to fostering an inclusive environment where everyone feels respected, supported, and able to thrive. If there is anything we can do to make the recruitment process more accessible or comfortable for you, please let us know.