Senior Solutions Architect & Pilot Lead (AI/Data)

HASH; Greater London; On-site; GBP 100,000 - 140,000; Full time

Benefits offered by this job

Equity

Bonus

Job summary

HASH is hiring a Solutions Lead (or a Solutions Architect) to own enterprise pilots across HASH’s platform, operating at the boundary between customers, Sales, AI Success Engineers, researchers and product engineers.

During discovery you’ll interview operators and executives, study workflows and data, define hypotheses, baselines, KPIs and evidence requirements, and in delivery you’ll produce pilot reports and first case‑study drafts.

Qualifications

• Experience leading ambiguous technical or analytical engagements.
• Excellent interviewing and facilitation skills to surface tacit knowledge and decision criteria.
• Ability to structure a domain in accurate, useful terms.

Responsibilities

• Join important customer conversations with Sales to distinguish problems from opportunities.
• Plan and facilitate discovery workshops with stakeholders.
• Conduct expert interviews to reveal system operation and uncertainties.
• Synthesize interviews, process docs and data into domain models.
• Translate objectives into requirements for engineers and researchers.
• Define pilots with hypotheses, scope, and success criteria.
• Build KPI trees linking performance, behavior and value.
• Establish baselines and design credible evaluations.
• Ensure evidence is collected during delivery, not afterward.
• Write pilot reports and draft customer case studies.

Skills

Ambiguous engagements leadership

Interviewing facilitation

Domain modelling

Data & AI fluency

KPI judgment

Experimental design

Technical writing

Commercial awareness

Stakeholder management

Education

Advanced degree in quantitative/scientific/systems field

Tools

Python

SQL

Job description

HASH is hiring a Solutions Lead (or a Solutions Architect) to own enterprise pilots across HASH’s platform, operating at the boundary between customers, Sales, AI Success Engineers, researchers and product engineers.

During discovery you’ll interview operators and executives, study workflows and data, define hypotheses, baselines, KPIs and evidence requirements, and in delivery you’ll produce pilot reports and first case‑study drafts.