Partnerships Solutions Engineer

Description

The company is changing how work gets done, and the people who run that work are the ones shaping the change.

Its platform offers enterprise-grade governance, a choice of models, and a shared workspace where people and agents work together.

Weekly active users are above 70%, a level of use the company compares to Slack and Notion.

Customers include Datadog, 1Password, Cursor, Clay, Vanta and Persona. The company aims for 5x growth by the end of 2026.

Sequoia backs the company, and the team includes people from Stripe, OpenAI and Stanford. The Generalist named the company to its Future 50 list.

This role helps build the technical base of the partner ecosystem in the US. The aim is partner solutions that repeat across customers, deliver results, and need less help from the company's internal teams over time. Success also means partners can demonstrate and implement these solutions on their own, and that partner-led deals and deployments grow as the ecosystem matures.

Responsibilities

• Help build the technical base of the partner ecosystem in the US.
• Work alongside Partnerships, Sales Engineering, Product and partner teams to turn individual relationships into solutions that repeat and produce customer results.
• Help partners build AI offerings on the platform, set up ways to deliver them, and develop the technical skill to take them to market.
• Stay hands-on at the point where AI, technical implementation and go-to-market strategy meet.
• Work with consulting and technology partners on packaged AI solutions and service offers built on the platform.
• Turn partner expertise and customer workflows into reusable agent templates, demos and solution blueprints.
• Spot use cases that partners can sell and copy across customers.
• Write practical playbooks for discovery, solution design, deployment and onboarding.
• Build reusable technical assets and reference architectures so partners deliver faster.
• Work with partner delivery teams so they can implement solutions without help.
• Run technical workshops, solution design sessions, demos and proofs of concept with key partners and customers.
• Explain the platform's capabilities, integrations, APIs and MCP ecosystem to partners.
• Give partners the material they need to pitch, demo and deliver with confidence.
• Work with Sales Engineering, Product and Engineering to clear technical blockers and improve partner solutions.
• Pass what you learn from partner implementations into product and integration priorities.
• Support joint opportunities with Partnerships and find where repeatable solutions can grow pipeline and adoption.

Requirements

• Background in solutions engineering, technical consulting, forward deployed engineering or a similar customer-facing technical role.
• Hands-on experience building AI applications, agents, automations or enterprise software integrations.
• Solid grasp of MCPs, APIs and technical architecture, and of connecting business systems and workflows.
• Skill at turning customer problems into practical technical solutions and repeatable implementation approaches.
• Clear communication with technical teams, consultants and business stakeholders.
• Builder mindset: comfortable with ambiguity, able to set priorities, and motivated to create repeatable processes from scratch.
• Experience with consulting partners, systems integrators or technology alliances.
• Familiarity with MCP, LLMs and current AI tooling.
• Experience developing partner solutions, implementation playbooks or packaged consulting offers.

Conditions

The team is based in person in Paris, London, San Francisco and New York, because close collaboration drives the best work.

The culture is office-first: fast decisions and unplanned conversations happen in the room, and the company protects that time together.

Working from home is your call when it suits the day's tasks, based on the judgement you show with your time.

The company values varied backgrounds and encourages applications from people who do not meet every requirement.