Dash0 Logo

Dash0

Senior Product Engineer (Darkplane, Agentic Platform)

Posted Yesterday
Be an Early Applicant
Remote
Hiring Remotely in Greece
Senior level
Remote
Hiring Remotely in Greece
Senior level
Build and evolve Darkplane, an agentic engineering platform, using TypeScript, Node.js, and Go. Develop reliable distributed systems, ingest pipelines, evaluation runtimes, data models, code sandboxes, and AI-driven workflows. Shape product direction through customer engagement, own frontend and backend development, strengthen observability and stability, and establish guardrails for safely deploying AI-authored code.
The summary above was generated by AI
About Dash0

Join Dash0 and help us define the future of observability. We are OpenTelemetry-native, building a delightful, simple, and AI-centric platform that eliminates vendor lock-in and meaningless toil. Shape a product that developers love—all with transparent pricing and cost-control built in.

Dash0 is hiring a Senior Product Engineer for the Darkplane team. Darkplane is our platform for engineering teams to reimagine the software development lifecycle in the era of AI. As coding agents write more of the code that ships, the hard part moves downstream: reviewing that code, deciding when it can be trusted, and automating the safe path to merge. And more importantly: learning from production issues and making the AI SDLC more reliable every day. Darkplane works at the intersection of Agentic Engineering and Developer Experience.

You will work where agentic frameworks, code sandboxes, and application runtimes meet. Part of the job is backend and platform engineering: the ingest pipelines, the evaluation runtime, the data model. The other part is product: deciding what to build, understanding what customers actually need to adopt agentic development, and turning a fast-moving idea about where this is all going into something people rely on.

What you'll do
  • Build and evolve Darkplane, working primarily in TypeScript/Node.js, with Go across our control-plane and analytics services.

  • Design and harden how we run untrusted code and how we help customers adopting AI in SDLC safely

  • Partner with AI engineers to make agentic workflows reliable and fast in production, supplying the software-engineering depth that keeps LLM-driven evaluation predictable.

  • Shape the developer experience of agentic engineering: the workflows, feedback loops, and guardrails that make AI-authored code trustworthy and quick to ship.

  • Make product calls. Talk to customers, understand how their teams adopt agentic workflows, and use that plus a read on the business to decide what matters and what to cut.

  • Co-own stability. Find technical risk early, and keep our own observability signals strong enough that we catch problems before customers do.

What you bring
  • Experience with TypeScript, Node.js and Go. Or the ability to quickly pick it up using state-of-the-art coding agents.

  • A strong grasp of distributed systems and what it takes to keep them reliable in production.

  • Sound data-modeling instincts across relational (Postgres) and analytical (ClickHouse or similar) stores.

  • Experience building or operating agentic AI systems, LLM pipelines, or code sandbox environments.

  • Proven experience owning and ideating end2end on the product, including frontend development

  • Real curiosity about the customer. You want to know how engineering teams work, and you make product decisions from that understanding and a feel for the business, not from a backlog handed to you.

  • Curiosity about where agentic software development is heading, and interest in the practical question of how companies actually adopt it.

  • Fluency with AI and agentic coding tools, paired with the judgment to know when to trust them and when not to.

  • Clear communication and a habit of writing things down. You work independently and keep the team in the loop.

Nice to have
  • Familiarity with the OpenTelemetry ecosystem or observability tooling.

  • Experience with building Analytical and experimentation platforms

  • Feeling comfortable mentoring more junior co-workers

Why Dash0

This is a unique opportunity to help build a generational company. Dash0 is backed by top-tier investors including Balderton Capital, Accel and Cherry Ventures and led by a founding team with decades of experience in observability. We're in the middle of a massive growth phase after our Series B — and we're just getting started.

If you're looking for a place where a great product meets great people, where momentum is real and your impact is visible from day one — this is it.

What we offer:

  • Competitive salary & meaningful equity participation — you'll own part of what you're building

  • Flexible, remote-first work environment with offices in New York, Amsterdam, and Munich

  • €60/month phone & internet allowance

  • Location-specific benefits

  • Collaborative, fast-moving team culture with a builder mindset

  • Clear path for career growth and development

  • Direct access to founders and leadership

HQ

Dash0 New York, New York, USA Office

New York, NY, United States

Similar Jobs

6 Hours Ago
Remote or Hybrid
2 Locations
112K-207K Annually
Senior level
112K-207K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads Pfizer’s environmental sustainability strategy across climate, Scope 3 emissions, biodiversity, nature, product sustainability, and sustainable sourcing. Manages supplier decarbonization programs, sustainability metrics, regulatory horizon scanning, risk assessments, governance, training, and communications. Facilitates cross-functional teams, advises stakeholders, represents Pfizer in external initiatives, and serves as a sustainability subject matter expert across the enterprise.
Top Skills: Microsoft TeamsWebex
4 Days Ago
In-Office or Remote
2 Locations
215K-358K Annually
Senior level
215K-358K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads measurement and product marketing for eight enterprise AI platforms. Builds shared KPI, taxonomy, scorecard, data-quality, and value-realization frameworks; translates usage and outcome data into executive insights and investment guidance. Oversees positioning, internal launches, campaigns, enablement, adoption, and audience segmentation. Partners across product, engineering, data, communications, and business teams while building and managing teams responsible for analytics, marketing, and communications.
Top Skills: Ai PlatformsBusiness IntelligenceDashboardsData ContractsData FabricData VisualizationEvent TaxonomyExperimentationKnowledge GraphsKpi FrameworksOkr PlatformsProduct AnalyticsTelemetry
4 Days Ago
In-Office or Remote
2 Locations
163K-272K Annually
Senior level
163K-272K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads product strategy, roadmap, lifecycle ownership, adoption, and measurable outcomes for a greenfield enterprise AI platform. Defines platform boundaries, governance controls, evaluation, registration, and cost-tracking capabilities while translating evolving risk, privacy, security, and GxP requirements into usable product features. Partners with engineering, design, legal, compliance, risk, security, and global agent-building teams to prioritize investments, guide delivery, communicate direction, and drive platform adoption.
Top Skills: AgileAIAi AgentsAi GovernanceGxpLeanModel Evaluation

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account