GTM Engineer (f/m/d)
Mannheim, Baden-Württemberg, Germany · Full Time
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- Experience
- 3–8 yrs
- Salary
- —
- Openings
- 1
- Posted
- 5 days ago
- Work mode
- In office
- Eligibility
- Experienced professionals with 3 to 8 years in GTM Engineering, growth engineering, technical RevOps, or a related revenue engineering role who are comfortable coding, working with modern GTM tools, and collaborating across Sales, Marketing, and Operations. Strong English is required; German or Spa…
- Resume
- Required to apply
Where you'll work
Job description
About osapiens
osapiens is creating a unified operating platform for responsible enterprises. Its AI-enabled system helps companies keep track of regulatory duties, climate impact, supply-chain exposure, and physical assets in real time. The goal is to provide the core infrastructure that global businesses rely on to operate responsibly as sustainability becomes a business requirement rather than an option.
In January 2026, the company became a unicorn after raising $100M in Series C funding from BlackRock/Temasek and Goldman Sachs. It serves more than 2,500 enterprise customers and has achieved 10+ straight quarters of 100%+ ARR growth with net revenue retention above 130%. The platform is differentiated by four core capabilities—Regulatory Compliance, Climate Intelligence, Supply Chain Transparency, and Asset Management—together with a network model that maps supply chains from source to shelf.
The role
This position is focused on building osapiens’ go-to-market execution layer: an automated revenue system that sits above the CRM, tracks external signals, and activates the right actions at the right time. It combines technical execution with revenue operations, sitting at the intersection of Sales, Marketing, and Operations and turning growth ideas into deployable systems in a matter of days. The role consolidates work that would traditionally be handled by an SDR, a growth marketer, and a sales engineer, but reimagined with AI at the center.
Responsibilities
- Design and run the automation layer on top of HubSpot, including scoring, enrichment, deduplication, routing, outreach, and handoff processes. This is about building the engine above the CRM, not simply managing CRM data.
- Create scalable outbound systems that replace manual prospecting with production-ready workflows for identifying target accounts, researching contacts, and generating personalized outreach at scale.
- Build dynamic data pipelines that continuously enrich and segment leads, create live audiences based on intent and behavior, and keep the pipeline supplied with the right accounts at the right time.
- Develop and operate AI agents across the funnel for use cases such as research, messaging, signal monitoring, AI BDR support, forecasting, and coaching.
- Improve revenue-system performance by lifting conversion across the funnel, including lead-to-meeting, meeting-to-opportunity, and overall velocity, through system changes rather than increased email volume.
- Connect Sales, Marketing, and RevOps by quickly turning growth ideas into working solutions and removing blockers that individual teams cannot resolve on their own.
- Evaluate and adopt GTM tools and AI solutions such as Clay, sequencers, AI BDR products, intent platforms, competitive intelligence tools, and orchestration tools like Make, Zapier, and n8n; test, measure, implement, or retire them as needed.
What success looks like in the first 12 months
- A fully functioning execution layer on top of HubSpot, with signals monitored, scored, routed, and acted on from end to end.
- Multiple AI agents running in production on real pipeline data, at minimum for research, messaging, and signal-based workflows.
- Clear improvements in pipeline efficiency, including time to first touch, reply rate, and signal-to-meeting conversion, with results directly tied to shipped work.
- An internal roadmap of AI-GTM experiments and investments, prioritized by impact and actively used by other functions.
Experience and qualifications
- 3 to 8 years of experience in GTM Engineering, growth engineering, technical RevOps, or a closely related revenue engineering function, along with strong interest in go-to-market work.
- Ability to code in Python, JavaScript, and SQL, plus a track record of delivering end-to-end agents, automations, or production GTM workflows.
- Hands-on familiarity with the modern GTM stack, especially Clay, HubSpot, Apollo, ZoomInfo, cold email systems, LinkedIn automation, orchestration tools, and AI model APIs.
- A systems-oriented mindset, with the ability to view the revenue engine as an interconnected system of inputs, feedback loops, governance, and observability.
- Strong data discipline and a preference for precise, high-conversion plays over large-volume outreach; understanding that deliverability, signal quality, and enrichment matter.
- Comfort working across functions and collaborating with sales reps, growth marketers, and operations leaders while helping all of them move faster.
- Fluent English communication skills; German or Spanish would be an advantage.
How the team works
The team values high energy with low ego. The expectation is to move quickly, learn from results, iterate, and keep improving. The benchmark is not competitors, but becoming the strongest SaaS company in how GTM Engineering is executed.
Benefits
- A mission-driven role focused on solving complex sustainability challenges at a fast-scaling unicorn, while working with leading global industry players.
- Space for creativity through collaborative teamwork and open communication.
- Flexible working arrangements with hybrid options and opportunities for team connection.
- Support for both personal and professional growth.
- Sustainable mobility options designed to encourage eco-friendly commuting.
- Team events and outings with international colleagues.
- Modern workplaces in Mannheim, Munich, and Madrid.
Additional information
Department: Sales
Employment type: Permanent, full-time.
Location: Mannheim, Baden-Württemberg, Germany.