Global scope  |  Permanent  |  Individual contributor

The role

Build the AI agents that change how Commercial works. In this hands-on global role in Sales Operations and Commercial, you report to the Head of Sales Operations & Proposal Management. You will design, test, release and improve Recipharm’s commercial AI agents and the approved knowledge base behind them, supporting Business Development, Strategic Account Management, Inside Sales and Proposal Management.

This is a builder’s role, not a reporting or analytics role. You will turn real business needs into reliable, governed and auditable tools, and help users make them part of their daily work. Salesforce remains the source of truth for sales data, and business-system writes require human approval unless an approved autonomy step states otherwise.

What you’ll do

• Build agents people use. Design, build and improve commercial AI agents for business development, inside sales, proposal management and commercial knowledge.
• Release with discipline. Take every agent change through intake, build, regression testing, versioning, documentation and release results, with clear ownership.
• Own the knowledge base. Build and curate a source-true knowledge base covering site and technology capabilities, the Lead-to-Contract process, proposal standards, marketing content and templates.
• Automate knowledge capture. Create repeatable, AI-assisted workflows that capture and check source documents, preserving meaning, sources and table structures, and flagging conflicts instead of resolving them silently.
• Extend autonomy safely. Pilot controlled increases in agent autonomy with clear guardrails, human hand-off, and approval through the relevant system steering committee and group AI governance process.
• Act on feedback. Work with testers and power users to collect, prioritise and resolve feedback, keeping agents accurate as processes, sites and data change.
• Drive adoption. Onboard users through real cases, practice sessions and office hours, and coordinate a power-user network across Commercial.
• Prove the value. Agree success measures before launch, set baselines, and track adoption, business impact and running cost for each agent.
• Keep it governed. Register and maintain every commercial agent in Recipharm’s AI governance process, including owner, data ruling, risk tier and fallback.
• Build in compliance. Build GDPR, data classification, permissions and human approval into every solution from the start, working only within approved AI platforms.

Who you’ll work with

You will partner with the Head of Sales Operations & Proposal Management; the Business Development, Strategic Account Management, Inside Sales and Proposal Management teams and the Salesforce Platform Owner; Marketing and the Commercial Leadership Team. You may also work with AI model and platform vendors and training partners.

What you’ll bring

• Proof that you have built at least one LLM-based agent or application used by real users.
• Hands-on skills in prompt and instruction design, tool use and connectors such as MCP or APIs, test sets, error analysis and AI assistants such as Claude.
• Solid Python or TypeScript, APIs and Git, plus practical experience with test cases, regression testing, change logs and documentation.
• Working knowledge of SQL. Experience querying CRM or business-system APIs, such as Salesforce SOQL, is an advantage.
• The precision to turn complex technical and process knowledge into structured, source-true content, keeping facts separate from interpretation.
• The ability to explain AI tools in practical commercial language and turn user feedback into measurable improvements.
• Awareness of data classification, GDPR, human-in-the-loop controls and GxP boundaries.
• Fluent English and the curiosity to quickly learn Recipharm’s Lead-to-Contract process and the CDMO business. Experience in life sciences, revenue operations, CRM or sales technology is valued.

Experience and education

• Typically 2–5 years in applied AI, software engineering, automation, data engineering, technically hands-on commercial or revenue operations, or consulting.
• Exceptional graduates with a strong portfolio of built and running AI applications are encouraged to apply. Proven hands-on delivery matters more than years of experience.
• Bachelor’s or Master’s degree in business informatics, data science, engineering, natural sciences or business, or equivalent practical experience. No specific certification is required.

How you work

• You deliver: hands-on, tested releases and reliable follow-through.
• You bring structure to ambiguity and turn complex knowledge into clear, reusable standards.
• You learn fast, share what you learn and build capability in others rather than dependency on yourself.
• You look ahead, follow AI developments and propose practical next steps backed by a business case.
• You build trust through transparency, accuracy, strong partnership and ownership after launch.

Why join Recipharm

• Shape how AI becomes part of daily commercial work across a global CDMO.
• Take agents from idea and prototype to controlled release, adoption and continuous improvement, hands-on all the way.
• See real impact: less administration and rework, more complete customer and proposal inputs, and trusted knowledge behind decisions.
• Work across Commercial, technology, data and governance while building capability that Recipharm owns and can audit.

Our values

Respect  •  Reliability  •  Collaboration  •  Excellence