Solutions Engineer, Europe

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires.

Founded in 2019, Linear has become the platform of choice for more than 25,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America and Europe, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.

As a Solutions Engineer at Linear, you will be the technical guide across the customer lifecycle, from evaluation and close through onboarding and expansion. Partnering most closely with Sales, you will drive revenue by leading technical discovery, demos, proof-of-concepts, and solution design for prospects and existing customers. You will stay engaged through onboarding to ensure technical continuity, and provide clear handoffs to Customer Success that capture context, decisions, risks, and next steps. You will also codify repeatable patterns through demo environments, migration and integration playbooks, and enablement for new sales hires.

This role is anchored to our London hub. We’re looking for someone who can work from our London office in Shoreditch 2–3 days per week, with flexibility around scheduling, as this role will be closely connected to in-person collaboration with our growing sales presence in the region.

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  Act as the customer’s technical advisor across the lifecycle, partnering with Sales and Customer Success to ensure continuity from evaluation through onboarding and expansion, with a primary focus on pre-sales revenue impact.

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  Lead technical discovery and architecture for strategic prospects and existing customers; translate customer workflows into Linear configuration, data model, permissions, and integration patterns.

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  Run pre-sales technical evaluations end-to-end: deliver tailored deep-dive demos, proof-of-concepts, security and architecture reviews, and integration workshops that remove deal risk and accelerate time to close.

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  Design and execute migrations and implementation plans that set customers up for long-term success; provide clear handoffs to post-sale teams (context, decisions, risks, and next steps).

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  Build and maintain realistic, scalable demo environments and reference configurations that mirror enterprise workflows and enable Sales to tell a credible, repeatable story.

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  Codify lifecycle playbooks and enablement: create technical training for sales and post-sale teams, curate exemplars, and continuously improve the technical sales motion.

• 5+ years in a Solutions Engineering, Pre-Sales, or similar role at a high-growth SaaS company, with experience supporting enterprise-scale deals.

• Strong hands-on experience with OAuth2 and GraphQL, data migrations, and product integrations

• Excellent communication skills—able to present complex technical concepts clearly to both engineers and executives

• Experience with Github and git; Linear and/or Jira strongly preferred

• Proven ability to build realistic, scalable demo environments and troubleshoot production issues

• CS degree or engineering background strongly preferred

• Collaborative mindset with experience partnering across Sales, Product, and Customer Success teams

• Comfort with SQL and scripting (e.g., Python or JavaScript)

• How we work: Designing remote work at Linear

• Our hiring process: How we hire at Linear

• A story about our mission: Read Me

• A video series: Conversations on Quality

• Karri’s Every interview: Most SaaS Companies Got AI Wrong. Linear Waited.

• Read about our recent Series C Fundraise and Giving our team liquidity

• Building our teams: Why and how we do work trials at Linear

Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.