Valence

Technical Product Manager

• Act as a thought partner and execution lead for the VP of Engineering across product and AI initiatives
• Lead strategic product direction and roadmap development in close partnership with the VP of Engineering, AI leadership, and the wider team
• Own product initiatives end-to-end, from data insights and experimentation through to shipped features and measurable impact
• Help shape prioritization, sequencing, and tradeoffs across engineering, AI, and product workstreams
• Serve as a bridge between AI, engineering, and product, ensuring shared context on goals, constraints, and system behavior
• Drive clarity and alignment on AI product quality, evaluation frameworks, and improvement initiatives
• Step in as needed to unblock teams, clarify ownership, or drive cross-functional initiatives forward
• Contribute to organizational planning and process design that enables teams to move quickly without losing focus
• Support and potentially manage product team members as the organization scales

Technical Product Manager, AI

Application Engineer

• Stay ahead of engineering: review code, architecture, design, anything that’s being considered for release
• Guide features and designs toward security
• Provide hands-on manual pentesting on relevant code changes
• Build and maintain security tooling to ensure security scales with organisation
• Advise the DevOps team on infrastructure security best practices
• Help out with client-facing security needs, such as client calls

Application Security Engineer

Events

• Own work-back plans and timeline management across a high volume of concurrent events
• Manage vendor coordination, booth logistics, sponsorship fulfillment, and on-the-ground execution
• Run end-to-end logistics for webinars, including platform setup, speaker coordination, and technical run-of-show
• Write invitation emails and promotional copy that compel people to show up
• Support event collateral, signage, and branded materials
• Manage communications with executive stakeholders, including speakers and VIP guests
• Pitch in on broader marketing projects as needed, from campaign support to creative execution

Events Associate

AI Engineer

• Architect and build enterprise-grade AI and conversational systems that power coaching workflows and user experiences.
• Develop, evaluate, and refine LLM-based components - balancing performance, scalability, and reliability in real use cases.
• Integrate and manage diverse sources of structured and unstructured data to improve contextual understanding and output quality.
• Partner closely with product, engineering, and design to translate user needs into impactful technical solutions.
• Rapidly prototype and iterate on systems that span backend services, data pipelines, and frontend interactions as needed.
• Build tooling, tests, and automation to support reliable model deployment, observability, and continuous improvement.
• Help streamline data and science workflows, enabling fast experimentation and data-driven decisions.

Applied AI Engineer

Full-stack Engineer

• Build and extend critical backend services: architect APIs, integrate LLMs and related services, and optimize server-side systems for performance and reliability.
• Develop polished frontend experiences: craft intuitive UI flows, ensure accessibility and responsiveness, and manage data flow between frontend and backend.
• Own end-to-end delivery: from scoping requirements, writing tests, deploying code, to monitoring and observability in production.
• Collaborate deeply: work across product, design, data, and infrastructure to solve real user problems and accelerate delivery.
• Drive best practices: help shape engineering standards, CI/CD automation, observability, and performance benchmarking.
• Mentor and grow: support team members through code reviews, technical discussions, and institution of scalable practices.

Senior Software Engineer, Full Stack

Sales

• Own and drive enterprise sales strategy, managing multi-million dollar deals at global F500+ enterprise clients.
• Lead complex RFP responses and competitive evaluations, managing cross-functional teams to deliver compelling technical and business proposals
• Build and execute account-based sales strategies for target F500+ prospects, with deep focus on competitive differentiation
• Navigate complex procurement, security, and compliance requirements typical of large enterprise deals
• Lead multi-stakeholder sales processes involving C-suite executives, HR leaders, and IT decision makers
• Develop competitive intelligence and positioning approaches, leveraging deep market knowledge to win in an evolving market
• Partner with product and engineering teams to influence roadmap based on enterprise client needs and competitive landscape
• Provide strategic market intelligence on competitive landscape, pricing strategies, and RFP best practices
• Apprentice a top tier commercial team in a collaborative sales culture

Enterprise Sales Director

Product Designer

• Design features that evolve Nadia from 1:1 coaching into a multiplayer collaboration platform, including context-sharing, team dynamics, and manager tooling
• Establish and evolve our design system to maintain craft and consistency as we scale
• Work embedded with product and engineering to ship high-quality experiences weekly, not quarterly
• Balance strategic thinking with hands-on execution - designing flows, refining interactions, and writing product copy yourself
• Collaborate intensively through working sessions, critiques, and paired design work
• Bring curiosity and experimentation to integrating AI into the user experience, exploring innovative UI and adaptive workflows.