Founding Senior Software Engineer (Europe – Remote)

Clipbook
Europe
RemoteCareer-pivot friendly

Who this role is best for

Strong fit for experienced engineers who architect systems and integrate AI into production workflows, with a preference for remote work in Europe and a focus on scalable backend and distributed systems.

Best fit for

  • Experienced engineers with a track record of building scalable backend systems and deploying AI workflows in production.
    — “Architect & build core systems. Drive key decisions across our stack and own feature development end-to-end.”
  • Candidates who are excited about rapid iteration and shipping features to a growing client base quickly.
    — “Genuine excitement to build quickly & ship fast.”
  • Individuals with a background in cloud infrastructure and CI/CD, particularly with AWS, Docker, or K8s.
    — “Experience with cloud infrastructure, containerization, and CI/CD.”

Things to consider

  • The role requires a strong commitment to scaling systems as the company grows significantly.
    — “Design systems that scale. Build systems that will hold up as we grow 10x”
  • The position demands practical decision-making about current investments versus future scalability.
    — “Being practical about what to invest in now vs. what can wait.”

How to stand out

  • Emphasize experience with LLMs in production and agentic systems in your resume and interviews.
    — “Put LLMs and ML models into production for real workflows: RAG pipelines, embeddings, prompt execution, agentic systems, fine-tuned models.”
  • Highlight your ability to drive technical decisions and own feature development from start to finish.
    — “Drive key decisions across our stack and own feature development end-to-end.”
  • Showcase your background in high-concurrency systems and PostgreSQL in your technical narrative.
    — “Backend: Python, TypeScript, PostgreSQL, high-concurrency systems.”
Pace · Fast PacedCollaboration · MediumAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Architected and built core systems
  • Integrated AI into real-world workflows
Typical background
3+ years building and scaling production systems

Skills & requirements

Required

Backend DevelopmentAI IntegrationCloud InfrastructureCi/cd PipelinesData Engineering

Preferred

Distributed SystemsLlms In Production

Stack & domain

BackendData EngineeringDistributed SystemsAi/mlLlmsRAGEmbeddingsFine-tuningInference OptimizationCloud InfrastructureContainerizationCI/CDAWSGCPDockerKubernetesCi/cd PipelinesPythonTypeScriptPostgreSQLHigh-concurrency SystemsSparkKafkaFlinkBigQueryStreaming PipelinesETLCommunicationProblem-solvingTeamworkLeadershipSoftware EngineeringAIML

About the role

Original posting from Clipbook via Ashby

ABOUT CLIPBOOK

Clipbook’s mission: reinvent how leaders listen to and engage with the world of information that comes out every day.

Our platform ingests, comprehends, summarizes, and surfaces insights and actions from traditional news, TV, podcast, social media, and internet data at scale—across text, audio, and video in real time.

We launched in 2023 and have grown to 200+ clients including BCG, Weber Shandwick, and dozens of government agencies. We bootstrapped to seven-figures in ARR before raising a $3.3M seed round (co-led by Mark Cuban and a host of prominent angels and VCs).

Our founding team has backgrounds at BCG, Bain, Harvard, Stanford, Oxford, the White House, and Congress, and has previously built startups backed by Sequoia, Tiger Global, Insight Partners, Coatue, and NFX.

THE ROLE

You'd be a key contributor at Clipbook — joining a small but mighty engineering team with engineers from Meta, Stripe, and AWS. You'll have the opportunity to develop new features and capabilities, and what you build will ship to 200+ customers quickly.

WHAT YOU'LL DO

  • Architect & build core systems. Drive key decisions across our stack and own feature development end-to-end.
  • Integrate AI into real-world workflows. Put LLMs and ML models into production for real workflows: RAG pipelines, embeddings, prompt execution, agentic systems, fine-tuned models.
  • Design systems that scale. Build systems that will hold up as we grow 10x, while being practical about what to invest in now vs. what can wait.
  • Develop performant APIs and services. Create robust interfaces and internal services that power our product end-to-end, ensuring reliability, security, and a seamless experience for customers.

WHAT WE'RE LOOKING FOR

  • 3+ years building and scaling production systems. Strong across backend fundamentals (services, data models, distributed systems), with deeper expertise in one or more areas — and a desire to keep expanding your breadth over time.
  • Genuine excitement to build quickly & ship fast. We care about getting things into users' hands and iterating from there.
  • Experience with cloud infrastructure, containerization, and CI/CD. Familiarity with AWS/GCP, containerization (Docker/K8s), and CI/CD pipelines.
  • Excellent communication skills

TECHNICAL AREAS WHERE DEPTH MATTERS (ONE OR MORE)

  • Data Engineering: Spark, Kafka, Flink, BigQuery, streaming pipelines, ETL at scale.
  • Distributed Systems: High-volume scaling, fault tolerance, eventual consistency.
  • AI/ML: LLMs in production, RAG, embeddings, fine-tuning, inference optimization.
  • Backend: Python, TypeScript, PostgreSQL, high-concurrency systems.

Source: Clipbook careers (Ashby)

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