AI Deployment Specialist My client, a financial services organisation is on the look for an AI Deployment Specialist to own the front end and back end of AI adoption across a live business area. You will identify and size AI use cases with business leadership, prioritise and sequence them, then lead the change management and adoption work needed to get them embedded and delivering measurable value. You will work alongside a technical build team rather than being part of it. The role is not hands-on engineering: you need to be technical enough to define requirements, run evaluation and regression checks in a low-code or no-code way, interpret results and challenge the technical approach, without writing code or raising pull requests yourself. A live example of the type of use case in scope: automating a client onboarding process that currently takes circa twenty four months to complete manually, involving document handling, data extraction, policy validation and compliance checks. What you will do<ul><li>Work with business leadership to identify, size and build the case for high-impact AI use cases</li><li>Prioritse and sequence use cases, balancing value, feasibility and organisational readiness</li><li>Own adoption end to end, stakeholder engagement, training and change programmes so AI tools become embedded, not shelfware</li><li>Track outcomes against the original business case and ensure deployments translate into measurable impact</li><li>Act as the bridge between business stakeholders and the technical build team, defining requirements and running eval/regression pipelines</li><li>Codify what works into a repeatable playbook the wider team can reuse</li></ul>What you will bring<ul><li>4 to 7 years' total experience, including time at a top-tier consulting firm or AI vendor</li><li>A track record leading end-to-end AI or data science engagements, scoping, sizing value and owning delivery through to adoption</li><li>Enough hands-on data science / ML grounding to scope problems credibly, judge feasibility and challenge a technical team, without needing to build full time</li><li>Strong change management and stakeholder skills, able to drive adoption across leadership and operational teams</li><li>Commercial fluency, comfortable framing AI work in terms of business value, ROI and operational impact</li><li>Confidence working with senior stakeholders, including in a governance-heavy environment</li><li>Comfort operating in a lean team, going deep on content rather than just running process</li></ul>Desirable<ul><li>Experience across varied industries rather than a single sector</li><li>Private equity or portfolio value creation experience</li></ul>

AI Deployment Specialist

Xcede has partnered exclusively with a company that just closed a $100M Series funding round at a $1B+ valuation, building the real-time voice and video infrastructure behind the next generation of AI applications. The platform already powers the voice and agentic AI experiences of some of the most recognisable consumer and AI brands in the world, handling billions of real-time interactions every year across tens of thousands of developers. A newly-opened San Francisco team is now building out the product line that brings this technology into the physical world, powering how humans interact, by voice, with humanoids and drones.

We're hiring a Senior Product Engineer to join this team from the ground up, dedicated to the robotics product line, where our real-time voice AI becomes the interface between humans and physical machines.

In this role you will:

<ul dir="ltr">
	<li>Build the products that let humans interact naturally, by voice, with humanoids and drones, sitting inside the physical AI/robotics line specifically
	<li>Design messaging, playback, and streaming systems that handle time-series data from robots operating in the real world, not just a test lab
	<li>Work out what actually matters in a live, real-world environment, someone using a humanoid at home, versus a controlled test setup, and build for that difference
	<li>Work directly with customers building some of the most ambitious physical AI products today, staying close enough to see what's genuinely broken and ship the fix
</ul>

Who you are:

<ul dir="ltr">
	<li>Senior-level engineer (staff-level scope) comfortable owning ambiguous problems solo, without a large team to lean on for every question
	<li>Full-stack, backend leans Python, front-end mostly TypeScript; a genuinely tech-agnostic team, strong C++ engineers also welcome
	<li>A track record of proactively finding what's broken rather than waiting to be told, fixing it, shipping it, and confirming it worked with the customer
	<li>Naturally curious, you go after the information you need rather than waiting for someone to hand it to you
	<li>Strong engineering fundamentals, comfortable using AI to move faster without relying on it to replace real technical judgment
</ul>

Nice to have:

<ul dir="ltr">
	<li>Prior robotics experience, no specific niche required, this isn't gated on VLM or autonomy specialism
	<li>Founding engineer or founder background, people who've shipped directly to real customers tend to thrive here
	<li>Voice AI exposure, rare to find but genuinely welcomed
</ul>

Senior Product Engineer (Robotics)

Senior / Lead Technical Product Manager | AI Trust & Identity Infrastructure | Berlin | 100.000 - 120.000 EUR + Bonus + Equity Compensation and benefits <ul><li>€100k base (senior level) / up to €120k base (lead level) + competitive bonus and equity</li><li>Hybrid working from Berlin, flexible hours</li><li>Unlimited vacation, learning budget, home office allowance</li></ul> The company A well-funded technology company building the trust and identity infrastructure that modern digital services increasingly need. Their work sits at the intersection of AI, decentralised identity, and data ownership - a space that's growing rapidly and where the technical problems are genuinely hard. Small team, serious culture, high ownership. Berlin-based with a globally distributed engineering organisation. The role This is a product role for someone who can operate at the intersection of technical depth and product judgment. You'll be defining how trust is built into next-generation AI systems - working on verifiable identity, policy guardrails, and real-time observability for AI agents in production environments. The expectation is that you stay close to the engineering. This isn't a requirements-gathering or roadmap-coordination position. You'll be working side by side with engineers to turn ambitious ideas into shipped product, fast and iteratively, with the technical credibility to engage on trade-offs and guide decisions rather than just relay them. If you've built a career where you've combined genuine technical depth with strong product instincts, and you enjoy working on problems that don't come with a playbook, this role is built for you. What you'll do <ul><li>Partner closely with engineering to define and refine solutions early - from concept to production in practical, incremental steps</li><li>Take ownership of ambiguous problem spaces, structure them into clear paths forward, and keep momentum as direction evolves</li><li>Own product direction for your domain - contributing to roadmap, making trade-offs, and aligning short-term delivery with longer-term platform thinking</li><li>Work across engineering, design, and go-to-market teams, with regular exposure to senior and executive stakeholders</li><li>Be genuinely developer-obsessed - understanding workflows, pain points, and integration experience at a level that shapes real product decisions</li></ul>What they're looking for <ul><li>5+ years in Technical Product Management with a strong technical background - you can engage deeply on system design, APIs, and integrations, not just talk about them</li><li>A track record of shipping products in close collaboration with engineering teams in fast-paced, product-led environments</li><li>Comfortable working with ambiguity and evolving priorities - you bring structure, not just process</li><li>Clear communicator across technical and non-technical audiences, with the credibility to drive alignment with experienced stakeholders</li><li>Experience in identity, distributed systems, or AI-adjacent domains is a meaningful advantage</li></ul>

Senior / Lead Technical Product Manager | AI Trust & Identity Infrastructure | Berlin | 100.000 - 120.000 EUR + Bonus + Equity

Engineering Manager | TypeScript, Node.js, React | Digital Trust Infrastructure | Berlin | 120.000 EUR + Bonus + Equity Compensation and benefits <ul><li>€110k-120k base + 15% annual bonus + equity (VSOPs)</li><li>Hybrid working from Berlin, flexible hours</li><li>Unlimited vacation, learning budget, home office allowance, Urban Sports Club membership</li></ul> The company A well-funded technology company on a mission to change how data ownership works on the internet. They're building the trust and identity infrastructure that modern digital services increasingly need - privacy-first, decentralised, and genuinely differentiated in a space that's only getting more important. Small, senior team. Serious technical culture. Berlin-based with a globally distributed engineering organisation. The role This is a hands-on Engineering Manager position leading a core product team. You will own delivery, architecture direction, and the technical bar for a team of engineers building systems at the intersection of identity, privacy, and data ownership. The expectation is clear: this is not a coordination role. You need to be genuinely close to the engineering - able to lead a system design session, not just attend one. The candidates who succeed here combine real technical depth with the leadership instinct to develop their team and hold a high bar. If you've built a career where you've stayed hands-on as you've grown into management, and you can give concrete examples of both, this role is for you. The hiring process is rigorous. Expect to go deep on system design, leadership situations, and your technical areas of strength. Come prepared. What you'll do <ul><li>Lead a cross-functional engineering team delivering on a high-scale, privacy-first platform - primarily TypeScript, Node.js and React</li><li>Own architecture decisions, ADRs, and the technical quality bar for your domain</li><li>Act as a filter between product intent and engineering execution - scoping ambiguity before it reaches your team and catching architectural issues at the design stage</li><li>Run system design conversations for your team's most complex problems</li><li>Partner with Product to shape technical vision and roadmap</li><li>Hire, grow and retain strong engineers - including IC-to-manager transitions</li><li>Champion engineering excellence: clean architecture, CI/CD, TDD, observability and performance</li><li>Drive AI-assisted development practices across the team</li></ul> What they're looking for <ul><li>3+ years in a formal Engineering Manager role with direct people management responsibility</li><li>Strong hands-on technical foundation in TypeScript, Node.js and cloud-native backend systems (AWS preferred) - you can still get into the code when it matters</li><li>Real system design depth - you've led system design sessions, not just participated in them</li><li>The ability to give substantive answers to hard leadership questions: managing underperformance, resolving genuine team conflict, growing engineers who weren't performing</li><li>Experience in regulated, security-conscious or privacy-adjacent domains (identity, fintech, KYC, compliance) is a significant advantage</li><li>Startup or scale-up experience - comfortable with ambiguity, fast pace, and building from first principles</li><li>Based in Berlin or open to relocating</li></ul>

Engineering Manager | TypeScript, Node.js, React | Privacy & Identity Platform | Berlin | 120.000 EUR + Bonus + Equity

​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. 

AI Deployment Specialist

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Sergio Osman

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