• Develop and evolve chatbots and AI solutions based on LLMs. • Integrate and customize AI models such as ChatGPT, Gemini, and Claude. • Implement Natural Language Processing (NLP) and Generative AI techniques for text analysis, retrieval, and generation. • Develop solutions using RAG (Retrieval-Augmented Generation), integrating LLMs with knowledge bases and vector databases. • Create, maintain, and optimize AI APIs for integration with internal and external systems. • Work with LLM engineering and structured outputs, using JSON, function calling, and output validation. • Support the development of multi-agent systems with LLMs, using frameworks such as LangGraph, CrewAI, AWS AI Agents, or Agent Development Kit (ADK).

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This leadership role offers the opportunity to drive the execution of high-impact product initiatives within a complex, fast-paced environment. The Sr. Director of Product Delivery will oversee a team of Product Owners, ensuring the seamless translation of strategy into high-quality, predictable product outcomes. You will be responsible for establishing operational rigor, optimizing delivery processes, and coordinating cross-team execution to maximize throughput. The role requires a strong focus on accountability, execution discipline, and continuous improvement, while mentoring and developing Product Owners to reach their full potential. The ideal candidate thrives in a dynamic environment, excels at risk management, and is passionate about delivering value through well-structured product delivery practices. - Lead and manage all Product Owners across the Wellbeing product portfolio, setting clear expectations, decision rights, and outputs. - Coach and develop Product Owners on prioritization, backlog quality, and delivery discipline, holding them accountable for commitments. - Own cross-team delivery orchestration, including sequencing, dependency management, and alignment to quarterly priorities. - Establish and enforce lightweight delivery standards, such as sprint hygiene, planning, retrospectives, and release readiness. - Monitor delivery metrics (cycle time, scope stability, throughput) to continuously improve predictability and execution rigor. - Ensure consistent alignment between product discovery and delivery cadences to maintain a healthy pipeline of ready-to-build work. - Provide transparent visibility into delivery status, risks, tradeoffs, and overall delivery health for leadership. - Partner with engineering leadership to maintain effective agile practices and champion consistent product management standards across squads. Qualifications - Proven experience leading high-performing product delivery teams, including direct management of Product Owners. - Extensive expertise in agile delivery, sprint planning, backlog refinement, and cross-team coordination. - Strong organizational and execution skills, with the ability to manage multiple priorities and remove blockers effectively. - Demonstrated ability to translate strategy into scoped, executable work while maintaining alignment with overall business goals. - Excellent communication and stakeholder management skills, able to influence senior leadership and provide clear visibility into delivery realities. - Experience in establishing and improving delivery standards, operating models, and metrics to ensure predictability and quality. - Track record of mentoring, coaching, and developing team members to elevate overall delivery capability. - Preferred: experience in digital health, wellbeing platforms, or healthcare technology environments. - Bachelor’s degree in a relevant field; advanced degree or equivalent leadership experience is advantageous. Benefits - Competitive base salary: $213,000–$260,000, with full benefits eligibility from day one. - Comprehensive medical, dental, and vision coverage through company health solutions. - Unlimited PTO to rest and recharge, plus mental health support and wellness programs. - Retirement planning options and financial protection benefits. - Professional development opportunities, clear career progression, and learning budgets. - Mission-driven culture emphasizing diversity, equity, inclusion, and belonging. - Flexible work environment supporting remote or hybrid schedules depending on location. Company Description

• Use customer and employee feedback, alongside operational data and insights, to inform improvements to the HR experience, quality, and outcomes. • Align initiatives with departmental strategic objectives and provide expert judgement on risk, compliance, and scalability, ensuring statutory and employment-related regulatory requirements are embedded directly into automation and system design decisions. • Scope and deliver as the Directly Responsible Individual (DRI) multi-phase initiatives across process redesign, tooling, and change management from planning, prototype, launch and optimization. • Map operational processes, identify bottlenecks, and architect end-to-end automated workflows that increase speed, accuracy, and scalability. • Build and maintain data pipelines via native connectors or APIs across HRIS, case management, payroll, and other tools to ensure seamless data flow, event triggers and reporting. • Leverage low-code/no-code platforms (like Zapier, Make, Retool, n8n or similar) to prototype and deploy rapid automations. • Deploy and govern AI tools or agents (e.g., for document processing, query triage, policy guidance, data auditing) that enhance efficiency, compliance and user experience. • Design and Implement multi-agent patterns (e.g. maker/checker setups, routing to specialised agents) and governance policies (e.g. retries, fallbacks, guardrails), embedding appropriate human oversight in employment-related workflows to ensure compliant and responsible AI deployment. • Build and maintain automation observability and governance (e.g. tracing, logging, agent runs evaluation) including access controls and auditability suitable for HR data. • Develop and maintain fit-for-purpose operational data models to support reporting, audit, compliance and data integrity initiatives within HR Operations. • Build and iterate on HR Operations analytics dashboards and reports (e.g. data audits, performance metrics) using SQL and BI tools such as Tableau or Sigma. • Foster strong cross-functional collaboration and support effective change management, training, adoption and continuous improvement of AI & Automation driven solutions. • Serve as a technical lead for AI & Automation within the Ops departments, contributing to the evolution of best practices and ways of working. • Mentor and guide junior team members, supporting capability uplift and operational maturity across the department.

• Unterstützung unseres Teams beim Fundraising, insbesondere durch Investorenrecherche und Pflege unserer Investorendatenbank • Entwicklung und Implementierung von Automatisierungslösungen, z. B. zur Unterstützung beim Deal Sourcing oder in Due-Diligence-Prozessen • Mitwirkung bei der Optimierung datenbasierter Rechercheprozesse mithilfe moderner AI-Tools