Plain jobs
13 open roles discovered and AI-scored on Swoopd
Talent Acquisition Lead
London officeFounding Data Engineer
United Kingdom · Belgium · Bulgaria · Denmark · Estonia · France · Germany · Hungary · Ireland · Italy · Netherlands · Poland · Portgual · Romania · Spain · SwedenFounding Data Engineer at Plain responsible for building data warehouse foundations, core models, and customer/account spine. Hands-on work across data stack, dbt/SQL/BigQuery, building data products and observability. Remote but restricted to European locations only. GBP 95k–130k/year (~USD 120k–164k). Requires warehouse architecture experience and modern analytics stack ownership.
Founding Data Engineer
London officePlain is hiring a Founding Data Engineer to build and own the company's data warehouse, core models, and customer data spine that powers product decisions, analytics, and AI features across the organization. You'll rebuild the data warehouse architecture from the ground up, establish clean pipelines and event taxonomy with Engineering, deliver foundational datasets for analytics and in-app reporting, implement data observability and quality checks, and enable self-serve analytics across teams. The ideal candidate has hands-on experience building modern analytics stacks end-to-end (warehouse, transformations, semantic layer, governance), is strong with SQL and BigQuery/dbt, and has shipped user-facing analytics or AI retrieval layers using real-time platforms like Tinybird or ClickHouse. Plain is a well-funded B2B customer support platform trusted by companies like Cursor, Vercel, and Granola, operating in a market being reshaped by AI. This is a greenfield, hands-on individual contributor role—not a management position—that requires comfort with ambiguity and prioritizing shipped impact over perfect abstractions.
Solutions Engineer
San Francisco officeFounding Product Marketing Manager
San Francisco officeProduct Engineer (Full Stack)
London officeProduct Engineer (Full Stack) at Plain, a B2B customer support platform used by companies like Cursor and Vercel. Role involves end-to-end feature ownership across frontend (React-adjacent), backend, and infrastructure, with close customer collaboration and product influence. Requires 3 days/week in London office; compensation is GBP 75-105k annually.
Founding Sales Development Representative (SDR)
San Francisco officeSupport Engineer (SF)
San Francisco officeSupport Engineer at Plain based in San Francisco office supporting technical B2B customers (Cursor, Ashby, Vercel). Responsibilities include customer support ownership, technical debugging, product feedback, and cross-team collaboration. Salary $150k–$180k; requires 3+ days in-office weekly. Technical skillset (logs, SQL, APIs) but fundamentally support role, not engineering.
Partnerships Manager
San Francisco officePlain, a B2B customer support platform used by companies like Cursor and Ashby, is hiring its first Partnerships Manager to build the partnerships organization. The role focuses on identifying and structuring strategic partnerships, managing ecosystem relationships, and aligning with product and sales. Hybrid position based in San Francisco, USD 140k–180k annually.
Account Executive, High Velocity
San Francisco officeAccount Executive, High Velocity at Plain (San Francisco office, 3 days/week in-office). Sales-focused role selling B2B SaaS to SMBs (5–249 employees). Responsibilities include owning inbound leads, generating pipeline, closing deals, discovering customer pain points, and owning post-sale expansion partnerships. This is a GTM/sales role.
Senior Product Designer
London officePlain is seeking a Senior Product Designer to own the design of customer support features and systems. The role spans research, ideation, prototyping, and shipping end-to-end, with emphasis on complex UI/UX, design systems, and close collaboration with engineering. Based in London with remote flexibility, GBP 75k–130k annually.
Senior Product Engineer (AI)
London officePlain is a B2B customer support platform trusted by companies like Cursor and Raycast to unify interactions across channels and leverage AI to shift support from reactive to proactive. The Senior Product Engineer role sits on the AI infrastructure team and involves owning end-to-end AI features—from agents and assistants to insights—while designing backend services, APIs, and data pipelines that enable the company to build AI capabilities quickly and safely. You'll need 3+ years of backend engineering experience shipping AI products in the OpenAI/Anthropic era, hands-on expertise with LLM orchestration and optimization, familiarity with RAG architectures and AI observability, and a product-minded approach that measures success by user impact rather than technical novelty. The position is hybrid (3 days/week in the London office) and explicitly targets applied AI engineers, not researchers—the company is skeptical of AI-as-gimmick and prioritizes precision over hype. This is a high-ownership individual contributor role at an early-stage startup where things change quickly; they explicitly state this is not for someone seeking management, big-company perks, or primarily academic ML experience.
Senior Product Engineer
London officePlain is a B2B customer support platform that unifies multi-channel customer interactions and uses AI to transform support workflows, backed by customers like Cursor and Raycast. This is a backend/full-stack engineering role on one of three teams—Core Product (channels and data models), Developer Infra (internal tools and tooling), or Backend Architecture (complex systems and APIs)—where you'll own problems end-to-end from infrastructure to feature launch, balancing shipping speed with long-term product health. You'll need proven experience at product-led B2B SaaS companies, strong technical chops with distributed/serverless systems, and the autonomy to prioritize between taking shortcuts and investing in infrastructure; you should thrive with ambiguity and be equally comfortable in architectural and customer conversations. The role is hybrid (3 days/week in London), Series A stage with competitive but not enterprise-scale compensation. This is explicitly not a management role and not suited for people seeking novel tech learning as a primary motivation—Plain favors proven, productive solutions over experimental ones.
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