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Senior GTM Engineering Analyst

in 80331, München, Bayern, Deutschland
Unternehmen: 1Password LLC
Vollzeit position
Verfasst am 2026-10-19
Berufliche Spezialisierung:
  • IT/Informationstechnik
    IT Business Analyst, Daten Analyst, AI Künstliche Intelligenz, Wirtschaftsinformatik
Gehalts-/Lohnspanne oder Branchenbenchmark: 101000 - 141000 EUR pro Jahr EUR 101000.00 141000.00 YEAR
Stellenbeschreibung

Location:

Canada;
United States

1

Password is growing. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing.

About 1

Password

At 1

Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today.

As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1

Password to help their teams securely adopt the SaaS and AI tools they need to do their best work.

If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future.

At 1

Password, we believe everyone deserves to be safe online. As a Senior GTM Engineering Analyst, you’ll build artificial intelligence (AI) agents, data products, and analysis workflows that help global go-to-market teams work faster and make better decisions.

You’ll connect information across business systems, automate repetitive processes, and create reliable insights for leaders across Sales, Solutions, Customer Experience, and Channel. Your work will help make security simpler and more human-centric for the millions of people and thousands of businesses that rely on 1

Password. This role reports to the Director, GTM Engineering (Revenue Operations)

What we're looking for:

  • Bring 4+ years of experience in analytics, revenue operations, sales operations, data analysis, or a related field.
  • Have experience building AI agents or workflows powered by large language models (LLMs) that have been used in real business work.
  • Work confidently with AI coding tools such as Claude Code, Codex, or Cursor.
  • Use Structured Query Language (SQL) effectively and apply working knowledge of statistics to distinguish meaningful results from noise.
  • Document and improve business processes with a focus on reducing manual work and improving decision-making.

Bonus points for:

  • Have experience with Python for building automations, working with application programming interfaces (APIs), and connecting systems, along with go-to-market tools such as Salesforce, Snowflake, Databricks, dbt, or business intelligence platforms.
  • Have supported channel or partner sales motions, worked across multiple regions, or studied a quantitative discipline such as science, engineering, statistics, or mathematics.

What you can expect:

  • Rebuild sales and revenue operations processes to reduce manual work.
  • Build and maintain AI agents that prepare call and deal briefs, draft customer follow-ups, rank target accounts, and flag deals that need attention.
  • Build and maintain data tables and scheduled analysis jobs that combine information from Salesforce, Gong, and other go-to-market systems.
  • Create reports, alerts, and weekly manager briefs used by sales leadership.
  • Partner with Sales, Solutions, Customer Experience, Channel, and Revenue Operations teams to understand business needs and define clear technical requirements.
  • Map existing go-to-market processes, identify opportunities to improve data quality and efficiency, and…
Stellen-Anforderungen
10+ Jahre Berufserfahrung
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