Value Engineer UK

deepset; Remote; GBP 125,000 - 150,000; Full time

Job summary

A premier AI solutions company in Greater London is seeking a Value Engineer to guide enterprise customers from initial conversations to lasting success. The ideal candidate can translate customer needs into technical solutions and drive value delivery through customer engagement. Responsibilities include leading discovery, designing implementations, and identifying expansion opportunities for accounts. This role offers a remote-first setup, competitive salary, and various employee benefits including flexible hours and generous vacation policies.

Benefits

Flexible hours

30 days vacation

Competitive salary

Stock options

Monthly sports and mental health support

Annual learning and development budget

Monthly team socials

Qualifications

• Significant experience in Sales Engineering or Customer Success.
• Ability to utilize Python for scripting and troubleshooting.
• Experience with AI/ML workflows.

Responsibilities

• Lead discovery to understand customer goals and challenges.
• Translate customer needs into technical solutions.
• Drive the plan to deliver customer value.

Skills

Sales Engineering

Consulting/Implementation

Customer Success for enterprise software

Practical Python skills

AI/ML workflows

Project leadership

Executive-level storytelling

SQL

APIs and integrations

Job description

TL;DR

We're hiring a Value Engineer to guide enterprise customers from first conversation to long-term success. You’ll help Sales win the right deals, design solutions that work in the real world, ensure customers reach value quickly and spot opportunities to grow the relationship. This role is a prescriptive, opinionated authority on which AI use cases make both business & technical sense by developing an account thesis and tying back to outcomes.

Why deepset

At deepset you’ll work on AI that actually runs in production powering real systems used by enterprises, governments and highly regulated organisations. We operate at the sharp end of applied AI solving hard problems around retrieval-augmented generation performance, security & privacy and on‑premise and sovereign deployments where reliability and trust truly matter.

Open source is at our core as the team behind Haystack while we also build enterprise‑grade products for some of the most demanding customers in the world. We value craft ownership and outcomes over hype: small highly‑competent teams with real autonomy, direct access to decision‑makers and the opportunity to shape both product direction and how we work.

We're a values‑led human organisation that believes in challenge and care in equal measure and we support flexible remote‑friendly ways of working with a globally minded team that comes together regularly to build, learn and move fast together.

What you will do

1. Value Discovery : Understand the Customers Needs

Lead early discovery to uncover goals, challenges, KPIs and key stakeholders.

Sparring partner with Enterprise Sales on overall deal quality and expansion opportunity focused on winning as a team.

2. Solution Design : Creating the Right Solution

Translate customer needs into clear technical and business solutions.

Build demos / POCs that prove value.

Ownership of AI risk management across data readiness, feasibility evaluation rigor, adoption and value realisation.

Outline a plan that sets the customer up to win.

3. Value Delivery : Help guide to delivery team to customer value creation

Drive the plan to first value.

Identify and execute on iterations without losing sight of key value metrics.

Coordinate customer and internal teams so projects stay on track.

Document architectures, runbooks and train users so they can be self‑sufficient.

4. Value Realisation : Measure Impact & Ensure Success

Track usage performance and business outcomes.

Run check‑ins / QBRs and help customers adopt the solution fully.

Resolve escalations and ensure issues don’t repeat.

5. Value Expansion : Grow the Account

Spot expansion opportunities based on usage pain points and roadmap fit.

Partner with Sales to build value cases and support forecasting.

6. Represent the Customer Internally

Bring structured feedback to Product and Engineering to support roadmap efforts in a way that balances signal and noise.

Requirements

Significant experience in Sales Engineering, Consulting / Implementation or Customer Success for enterprise software.

Practical Python skills for scripting and troubleshooting.

Experience with AI / ML workflows (fine‑tuning, data prep, model evaluation).

Strong understanding of modern architectures (APIs, integrations, IAM/security; bonus for Kubernetes, Terraform, SSO, VPC).

Ability to get hands‑on with data, SQL and light integrations.

Strong project leadership and communication including executive‑level storytelling.

Commercial awareness and a focus on measurable outcomes.

Nice to have

Demonstrates strong systems thinking paired with tactical execution with sound judgement to choose the right approach at the right time.

Benefits

• Remote-first setup with flexible hours & tech of your choice
• 30 days vacation + extra days for family sick leave
• Competitive salary & stock options for every team member
• Monthly sports & mental health support allowance with Oliva
• Annual learning & development budget
• Monthly team socials & in‑person meetups

About us

Founded in 2018 deepset builds open and enterprise‑grade tools that help teams build AI with purpose. From Haystack, our open‑source framework, to the deepset AI Platform we give developers and organisations the building blocks to solve complex high‑impact challenges with AI with full control, transparency and sovereignty. Backed by GV and Balderton we’re growing the world’s production AI community and customer base solving challenges too critical to get wrong.

Visit us to learn more: deepset Website Haystack Website GitHub LinkedIn X deepset (Twitter) X haystack (Twitter)