[Hiring] Deployment Strategist @Heyra

Role Description

Building AI keeps getting cheaper and faster. Deciding what's worth building, and getting an organisation to actually commit to it, does not.

At Heyra, we build AI systems, workflows and data platforms that are meant to live in production from day one. We work closely with companies that are moving quickly and need a partner who can hold both the strategic picture and the delivery reality in one head.

We're looking for a Deployment Strategist: the person the client's leadership talks to. You own the relationship and the outcome. You sit with a C-suite buyer, understand where their business is actually trying to go, and translate that into a sharp, sequenced plan for what we build and why. Then you steer a strong engineering team to make it real - without being the one in the codebase.

This is the strategic counterpart to our engineers. Where they go deep into the build, you hold the commercial and strategic frame: what problem are we really solving, what impact are we creating, in what order, and how do we get the organisation to adopt it. You're more product manager than a traditional consultant, with a strong strategic angle - closer to an Engagement Manager who's technical enough to make the right calls than a slide-deck advisor.

You'll work closely with engineers, data specialists, strategists and designers in a company where ideas move quickly and the distance from thinking to building is intentionally small.

What you'll work on

• Owning client relationships at the leadership level - being the person the C-suite trusts
• Framing the real problem behind the ask, and shaping it into an engagement worth running together with our FDEs
• Sequencing what gets built, in what order, and being accountable for the business value - not just the artifact
• Steering engineering teams toward outcomes, translating in both directions between the client and the builders
• Driving adoption: managing expectations, working with the people who have to live with the solution, and staying through the part after launch
• Scoping, structuring and de-risking engagements as they evolve
• Spotting where the next opportunity sits inside an account and growing it

Qualifications

• Management consulting, change management, adoption, implementation of AI-native solutions.
• Owning client or stakeholder relationships end to end, with real accountability for outcomes
• Product, programme or engagement leadership in a technical environment
• Being technically literate - fluent enough in data and AI to make the right calls and earn trust with both buyers and builders, without needing to write the production code yourself
• Translating between business strategy and what's actually buildable
• Bringing structure to ambiguous, fast-moving situations
• The patience to sit with a worried manager, and the stubbornness to stay until adoption actually lands

Benefits

• Healthcare insurance
• Pension plan
• Parental leave
• Social gatherings
• New tech gear
• Central office
• Free lunch, coffee, snacks, and Friday beers
• Skill development
• Paid holiday
• Remote work allowed
• Pet friendly