Value Engineer, deepset
Enterprise
+ Stock options
Build custom AI and LLM applications
Open for applications
Build custom AI and LLM applications
21-100 employees
Open for applications
+ Stock options
21-100 employees
Company mission
To make custom AI solutions accessible to every organisation, driving adoption and impact.
Role
Who you are
- 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
Desirable
- Demonstrates strong systems thinking paired with tactical execution, with sound judgment to choose the right approach at the right time
What the job involves
- 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
- 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
- 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
- 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
- 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
- Spot expansion opportunities based on usage, pain points, and roadmap fit
- Partner with Sales to build value cases and support forecasting
- Bring structured feedback to Product and Engineering to support roadmap efforts in a way that balances signal and noise
Salary benchmarks
Our take
Natural Language Processing (NLP) is at the core of many modern enterprise data processing workflows, from complex data processes to customer service chatbots. However, NLP systems are not one-size-fits-all, and the development and deployment of bespoke NLP systems require the niche and expensive help of programmers with expertise in machine learning and semantic syntax.
Deepset provides an open-source API-driven framework called Haystack for the quick and efficient development of production-ready NLP systems. The company's goal is to make modern NLP as easy as possible to apply in a practical and scalable way, and states major use cases of its API for automated data analysis, customer satisfaction, fraud monitoring, and regulatory actions.
Whilst NLP has been implemented by many enterprises such as Amazon AWS and Microsoft, options for companies without dedicated AI experts have been limited, making Deepset's open-source approach highly beneficial to many industries. Lately, the company has introduced custom AI agent solution architecture, which will enable companies to deploy AI agents across cloud and on-premise environments.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Aug 2023
$30m
EARLY VC
Apr 2022
$14m
SERIES A
Total funding: $45.6m
Company benefits
- Ownership: Join as an owner with employee stock options - you're building your future here
- Wellbeing: Health, dental, and vision coverage, plus retirement plans in specific locations
- Connection: Remote and in-office collaboration, plus a home office budget and tech setup
- Growth: Support for learning, conference opportunities, and professional development
- Community: Team gatherings and global events to build strong connections, virtually and in-person
Company HQ
Mitte, Berlin, Germany
Leadership
Milos Rusic
(Co-Founder & CEO)Experience as Director of Market Development for KONUX from 2016 to 2018.
Malte Pietsch
(Co-Founder & CTO)Experience as Data Scientist for plista from 2016 to 2018.
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