Principal Product Manager, Payments (Contract) Hybrid, London Rate: ~£500 per day IR35: TBC Duration: 6-12 Months An established organisation is looking for a Principal Product Manager to lead a defined area of its business payments platform. The role sits within a product function that is maturing its ways of working. You will own strategy and delivery for your area, and you will help raise the standard of product practice across the wider business. This role suits a hands on product leader with genuine payments depth. You will need the credibility to make confident decisions quickly and to challenge delivery teams constructively. The role <ul><li>Define the product vision and strategy for your area of the payments platform, and contribute to wider business strategy</li><li>Own the roadmap and lead complex delivery programmes from direction through to execution</li><li>Identify and prioritise opportunities, balancing customer value and commercial return against feasibility and effort</li><li>Build commercially sound propositions with a clear link to business performance</li><li>Hold product teams to account by testing assumptions, estimates, scope and priorities so that commitments are realistic</li><li>Give senior stakeholders an evidence based view of delivery health, risk and priorities</li><li>Lead, coach and mentor product team members, and support hiring</li><li>Contribute to the evolution of the product operating model alongside the product leadership team</li></ul>What you will bring <ul><li>Senior product leadership experience gained directly within a payments, money movement or payments infrastructure business, such as embedded finance, payment rails, banking as a service or a money movement platform</li><li>Practical knowledge of how payments work, including payment flows, settlement and reconciliation, relevant regulation and the commercial drivers of a payments business</li><li>Ownership of a product roadmap for a defined product area, with strong commercial awareness of how product decisions affect the P&L. Direct P&L ownership is a plus</li><li>A track record of leading product teams and delivering complex programmes</li><li>Confidence working with stakeholders up to C suite level</li><li>The judgement to challenge proposals constructively and to test whether delivery plans are achievable</li><li>Substantial experience coaching and developing product people</li><li>The ability to get up to speed and add value quickly in a contract setting</li></ul>

Principal Product Manager

Tech Lead (JVM/Kotlin, Berlin, Hybrid) 
 
We’re rebuilding how businesses talk to their customers. The phone call, the contact form, the support ticket — all of it is being replaced by messaging and AI. We’re building the platform that runs underneath.

We’ve become the platform of choice for thousands of businesses worldwide, from globally recognized brands to the small businesses, dental practices, and one-person startups that need to look bigger than they are. Today, millions of messages flow through our platform every single day.

We started as a unified inbox — one place for every channel a customer might pick: WhatsApp, email, SMS, Instagram. Then ChatGPT happened, and the second chapter began: AI agents that respond across chat, email, and voice at the quality of the best human teams.

We’re profitable and growing on our own money, headquartered in Berlin.

We are hiring a backend-leaning Tech Lead to lead a team of 3-4 engineers and own the tech for part of our product.

This is a hands-on leadership role: you’ll spend roughly half your time designing and building software and the other half enabling your team to perform at its best. You’ll work directly on architecture, development and important projects while creating the clarity, feedback and environment your engineers need to deliver an excellent product.

Who We Want

A strong, current backend engineer. You bring 3+ years of experience as a Senior or Staff Engineer and remain deeply involved in software development. You are comfortable owning, designing and building crucial parts of production systems.

Experienced with the JVM ecosystem. You have substantial experience with Java or another JVM language. Kotlin and AWS experience are a plus, since our backend runs on Kotlin/Quarkus.

Ready to lead people. You may already have worked in a hybrid Tech Lead role, have been an Engineering Manager for a short time, or be taking your first steps in people leadership after successfully owning projects and architecture. What matters is that you genuinely want to help people grow.

Strong at delivery. You know how to turn product goals into reality. You are used to working in fast-paced startups and are a driver to increase velocity.

Product-minded. You care about solving the customer’s problem. You engage with product decisions, challenge assumptions constructively and find pragmatic solutions to build things in a lean way.

Clear communicator. You are able to explain complex technical things in detail to engineers and in an understandable way to non-technical stakeholders. You create alignment and motivate people.

Excited about AI-assisted development. You are already using AI in your development workflow and are eager to explore how it can improve engineering speed, quality and the way teams work.

Who We Don’t Want

Pure people manager. This role requires meaningful, ongoing involvement in architecture, implementation, code review, and technical problem-solving.

Hero engineer. Your job is to raise the effectiveness of the whole team, not to be the only person who can solve difficult problems.

Pure delivery manager. We need engineering leaders, not project coordinators.

Remote-only operator. We believe strong engineering leadership requires regular in-person collaboration and presence in Berlin.

Your Day to Day

Spend approximately 50% of your time contributing directly to architecture, development, code reviews, and important technical projects. Lead a team of 3-4 engineers and take responsibility for its effectiveness, technical quality, and delivery. Work closely with your Product Manager to understand customer problems, shape solutions, scope projects, and set priorities. Establish clear technical direction while enabling engineers to own decisions and develop their judgment. Run regular 1:1s, give actionable feedback, and support each engineer’s development and performance. Remove blockers, manage dependencies, and help the team identify delivery risks early. Improve engineering practices and explore effective uses of AI throughout the software development lifecycle. Contribute to hiring through technical interviews, structured feedback, and candidate conversations.

Stakeholders

Director of Engineering: your manager and partner on people development, calibration, processes. Direct Reports: engineers in your team; you own their development, performance and growth. Product Manager: PMs own what and why; you own how (delivery) and who (people). CTO and CPO: we are a lean organization with a flat hierarchy — you’ll regularly discuss architecture direction with the CTO and product direction with the CPO.

Why People Choose Us

Mission that matters — real impact on small businesses, not abstract metrics. Funded with conviction, and profitable. Modern stack: Kotlin/Quarkus, AWS, TypeScript/React/Next.js, and LangGraph for AI-powered features. Squad-based organization — each squad owns its domain end-to-end with real ownership and autonomy. Two clear career tracks — individual contributor growth up to Staff level, and a management path, with explicit reversibility between both. Product-led structure — PMs report directly to the CPO. Hybrid by design — our Berlin office is the center of gravity, with two work-from-home days as the standard setup. Direct feedback culture — honest, direct, and kind feedback is part of how we work together.

Benefits & Culture

A wellness or transport subscription of your choice. Regular company and team events. An annual personal development budget for conferences, courses, books, and career coaching. An inclusive, fast-growing startup culture. A beautiful office in the heart of Berlin with free snacks, drinks, and top-notch equipment. We want to build a community, not just a company — through sports, social clubs, running groups, or whatever kind of community you’d like to help build here.

We’re looking for people with passion, grit, and integrity. You’re encouraged to apply even if your experience doesn’t precisely match the description. We welcome diverse perspectives and people who think rigorously.

Relocating to Berlin? We support you with practical relocation help. You’ll feel at home in no time.

Tech Lead (Kotlin)

Wiz CNAPP Implementation Consultant (Freelance) <ul><li>Contract: Freelance, 12 months</li><li>Location: Remote, UK-based</li><li>Day rate: Competitive </li><li>IR35: Inside</li><li>Client: Global medical device manufacturer (FTSE 100)</li></ul>The opportunity A FTSE 100 global medical technology manufacturer has selected Wiz as its CNAPP platform after an enterprise evaluation. They now need an experienced consultant to take it from selection to a stable, fully operational BAU capability. This is a hands-on, end-to-end role within a wider cloud security programme. That programme supports cloud adoption, AI, SaaS, data platforms and M&A integration across a large, regulated enterprise. You'll work alongside the client's security teams and Wiz Professional Services. What you'll deliver:<ul><li>Discovery and design: confirm the environment, licensing, prerequisites and integrations, then define the implementation design and sequence.</li><li>Infrastructure onboarding: onboard all in-scope AWS, Azure, GCP, Kubernetes and SaaS environments into Wiz, then validate discovery and coverage.</li><li>Integrations: connect Wiz to SIEM/SOC tooling, ticketing (e.g. ServiceNow, Jira), CI/CD and vulnerability management, and prove data flows end to end.</li><li>Configuration and tuning: build the policy baseline, risk prioritisation, ownership mapping, dashboards, reporting and exception handling.</li><li>Operationalisation: set up finding routing and operating procedures, run training and knowledge transfer, and provide hypercare into BAU.</li><li>Roadmap: recommend and prioritise next steps for coverage, controls, automation and measurable risk reduction.</li><li>Governance: keep clear implementation records, report on progress and evidence acceptance against success criteria.</li></ul>What you'll bring Essential: <ul><li>Hands-on experience implementing Wiz end to end in a large enterprise: connectors, deployment, policy configuration and tuning.</li><li>Strong multi-cloud security knowledge across AWS, Azure and/or GCP, including IAM, networking and Kubernetes.</li><li>Experience integrating a CNAPP or CSPM platform with SIEM, ITSM (ServiceNow/Jira) and CI/CD pipelines.</li><li>A track record of taking a security platform into BAU: runbooks, ownership models, training and handover.</li><li>Confident with stakeholders, from engineering teams to security leadership, in a matrixed organisation.</li></ul>Desirable: <ul><li>Wiz certifications, or delivery experience with a Wiz partner or Wiz Professional Services.</li><li>Experience with other CNAPP tools (Prisma Cloud, Microsoft Defender for Cloud, Orca, Lacework).</li><li>Infrastructure-as-code (Terraform) and security automation.</li><li>Experience in regulated sectors such as medical devices, life sciences, pharma or financial services.</li></ul>

Wiz CNAPP Implementation Consultant (Freelance)

Lead AI Data Scientist

 

Build the data science function at a PE-backed legal services group going all-in on AI

 

Our client is a fast-growing, private equity-backed legal services group. They’ve grown through a successful buy-and-build strategy and now bring together several leading regional law firms across the UK.

 

They’ve just secured board approval to roll out a centralised AI platform across the whole group. AI adoption is already high (around 95% of lawyers use it), but use isn’t joined up across the firms. The next phase is making it structured, measurable and scalable. This is a newly created role to lead data science across that programme.

 

Why this role?

<ul>
	<li>Founding role: you’ll be the first data scientist and will hire, with room to grow the function from there.
	<li>Models that ship: this is a PE-backed business with a mandate to deliver, so your work goes into production rather than sitting in a notebook.
	<li>Real influence: you’ll be at the heart of the business, shaping how an entire group uses AI, not one of hundreds of data scientists.
	<li>Legal is ahead of the curve: it’s one of the few industries where AI has moved from experiment to everyday practice. What you do here will play out in other sectors later, and you’ll have done it first.
</ul>

 

What you’ll do

<ul>
	<li>Work with lawyers, subject matter experts, business analysts and engineers to find where AI and automation can have the biggest impact in legal workflows.
	<li>Prototype LLM-based solutions and test them using human-in-the-loop review and LLM-as-judge evaluation, then guide the successful ones into production.
	<li>Map data across matter, client, document, time-recording and billing systems, and help define a target data model.
	<li>Set baselines and success metrics, and build before-and-after analysis and dashboards to show impact on productivity, quality, cost and margin.
	<li>Monitor models and AI-enabled workflows in production for quality degradation and drift.
</ul>

 

What we’re looking for

<ul>
	<li>5+ years as a data scientist, including time leading or setting direction for DS work.
	<li>A track record of taking models from prototype into production and keeping them running.
	<li>Hands-on experience building and evaluating LLM solutions, including prompt design, RAG and structured evaluation. Exposure to agents, MCP or context engineering is a plus.
	<li>Strong Python and SQL, plus experience on a cloud data platform (Databricks, Azure or Snowflake).
	<li>Experience defining success metrics and showing measurable business impact.
	<li>Excellent stakeholder skills, with the ability to turn workflows into testable AI proposals and explain trade-offs to senior, non-technical audiences.
	<li>Experience mentoring or managing others, or a clear ambition to move into people leadership.
</ul>

 

Nice to have

<ul>
	<li>Professional services, legal or legal tech experience.
	<li>Background in a regulated, data-driven industry such as financial services or insurance.
	<li>PE-backed or investor-owned environment experience.
	<li>Familiarity with legal platforms (ShareDo, Clio, Aderant) or legal AI tools (Jylo, Lexis Protégé, Copilot).
	<li>Awareness of confidentiality, privilege and data-protection considerations when applying AI to client data.
</ul>

 

This is a full-time position with a hybrid set-up from their central London office. Unfortunately visa sponsorship and relocation support are not available for this role.

Lead AI Data Scientist

​Sergio joined as a Consultant sitting within our UK Contract team in 2021. He specialising in data roles recruitng for; Data analysts, Data Engineers, data scientists, insights and reporting consultants. He has since been promoted to Senior Consultant. 

Principal Product Manager

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Sergio Osman

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