Top Tech Jobs & Startup Jobs in Warsaw

Designs and delivers production credit analytics and machine learning platforms for regulated financial-services clients. Responsibilities include architecture, Python and SQL development, reproducible ML workflows, MLOps, data quality, model governance, Snowflake application reliability, monitoring, access control, and technical leadership. The role works directly with clients and modelling specialists to productionize credit-risk models, support multiple portfolios, and evaluate responsible uses of LLM-assisted analytics.

Lead product strategy and roadmap for Wrike’s AI platform ecosystem, including MCP, Skills, and GraphQL. Direct the core MCP team, enable other teams to build agent-ready tools, guide GraphQL capabilities, and manage plugin publishing across AI marketplaces. Establish standards for quality, governance, reliability, documentation, permissions, and developer experience while using customer research and adoption data to prioritize agent workflows.

Own commercial growth across the UK, Ireland, Nordic, and Baltic markets. Generate and close B2B opportunities with sportsbook operators, platform providers, and technology partners; manage the full sales cycle, negotiate complex agreements, develop senior relationships, monitor market and regulatory trends, and identify expansion opportunities. Maintain CRM pipeline reporting and collaborate with Product, Customer Success, and Solutions teams. Regular travel across Northern Europe is required.

Owns the end-to-end production lifecycle for short-session platform games, from strategy and concept through launch and live operations. Coordinates internal teams, external studios, vendors, and platform partners; manages agile planning, roadmaps, certification, risks, IP clearance, dashboards, and release timelines. Tracks KPIs such as revenue, engagement, and daily players to guide improvements and ship/stop decisions while scouting new platforms and game opportunities.

Provides technical onboarding and deployment support for enterprise customers using voice AI agents. Responsibilities include designing integrations, building conversational agents, debugging production issues across APIs, telephony, webhooks, and LLMs, analyzing logs and transcripts, resolving incidents, and translating customer feedback into product improvements. The role partners with Engineering, Product, Customer Success, customer developers, and telephony providers.

Build Nango’s developer infrastructure platform across backend services, APIs, runtimes, dashboards, SDKs, CLI, MCP, and web applications. Own product surfaces end to end, work directly with customers, shape product and technical roadmaps, design reliable systems, and maintain open-source projects. The role requires strong backend fundamentals, TypeScript experience across Node.js and React, product ownership, developer empathy, communication, and autonomy in a remote startup environment.

Own and grow the Data Layer: build and operate ingestion, transformation, reconciliation, and serving pipelines (raw→refined→curated). Use agentic AI tools to accelerate delivery, ensure data correctness, and partner with backend, AI, and product teams to define reliable data contracts.

Manage and grow cybersecurity channel partnerships across EMEA. Responsibilities include developing joint business plans, driving indirect revenue, managing pipelines and deal registrations, enabling resellers and distributors, executing channel programs, coordinating co-marketing, recruiting partners, analyzing performance, and collaborating with sales, marketing, product, engineering, and customer success teams.

Leads enterprise sales and strategic account growth across EMEA for video streaming technology. Responsibilities include acquiring new logos, managing key accounts, driving cross-sell, closing multi-year SaaS and platform licensing deals, developing partners, engaging executives, building pipeline, forecasting revenue, and providing market and competitor insights across media, broadcast, OTT, and streaming markets.

Design realistic marketing tasks and reference solutions for AI evaluation, covering campaign analysis, market research, strategy, performance reporting, and marketing assets. Develop evaluation criteria, review AI-generated work for accuracy and execution quality, and collaborate with reviewers to improve task consistency. The role requires practical experience in areas such as growth, performance, product, content, research, or marketing analytics, along with strong analytical and written communication skills.