• Partner with Sales and senior leadership on strategic customer opportunities with AI labs, model development teams, and enterprise AI organizations. • Lead discovery conversations with technical, research, product, operations, and executive stakeholders. • Translate customer requirements into clear solution designs, workflows, pilot plans, proposals, and implementation approaches. • Design solutions across model evaluation, multilingual data, speech/audio, transcription, expert review, post-training data, and quality workflows. • Support RFPs, RFIs, proposals, pricing assumptions, and Statements of Work. • Create customer-facing materials including solution narratives, workflow diagrams, pilot structures, and technical explanations. • Work closely with Delivery, Quality, Supply Chain, and Technology teams to ensure proposed solutions are feasible, scalable, and commercially sound. • Support clean handoff from Sales to Delivery, including requirements, assumptions, risks, and success criteria. • Build reusable solution templates, scoping frameworks, and best practices for AI data and evaluation programs. • Stay close to industry trends in model evaluation, benchmarking, RLHF, post-training data, agentic workflows, and multilingual AI.

Role Description Our client is a European insurtech company providing digital insurance solutions and embedded protection products, enabling seamless integration of insurance offerings into e-commerce and financial platforms across multiple markets. - Design and build high-performance services: - Develop and maintain scalable APIs (gRPC and REST) powering core insurance services. - Own end-to-end delivery: - Drive microservices from requirements gathering, architecture, and implementation through deployment and operational support. - Collaborate cross-functionally: - Work with Product, DevOps, and other teams to translate feature requests into robust, scalable technical solutions. - Champion engineering excellence: - Establish and promote best practices including code reviews, automated testing, observability (tracing, logging, metrics), and CI/CD pipelines. - Ensure compliance and security: - Adhere to security policies, coding standards, and regulatory requirements relevant to the financial and insurance sector. - Optimize for production: - Monitor and improve service reliability, performance, and cost in production environments. Qualifications - Must Have: - 6+ years of backend development experience, with 3+ years working with Golang in production. - Proven track record designing and evolving gRPC and REST-based APIs at scale. - Deep understanding of distributed systems, microservices architectures, and cloud-native patterns. - Hands-on experience with containerization (Docker), orchestration (Kubernetes), and modern DevOps workflows. - Experience with PostgreSQL and message queues (e.g., Kafka, RabbitMQ). - Strong problem-solving skills and a passion for building clean, efficient, and maintainable systems. - Regular use of AI tools to improve productivity, automate or reduce repetitive work, support decision-making, and deliver higher-quality outcomes. - Ability to use AI tools responsibly by structuring effective prompts, critically validating outputs, understanding limitations, and taking ownership of the final result. - Excellent English communication skills and the ability to thrive in a fast-paced, agile environment. - Nice to Have: - Experience in the insurance, fintech, or broader financial services domain. - Familiarity with observability tooling (e.g., Prometheus, Grafana, OpenTelemetry, Jaeger). - Experience with cloud platforms (e.g., AWS, GCP, Azure). - Knowledge of infrastructure as code (e.g., Terraform, Helm). - German language skills are a plus. Benefits - Enjoy our holistic benefits program that covers the four pillars that we believe come together to support our wellbeing: - Physical Wellbeing: Our wellbeing program includes medical benefits, gym support, and personalised fitness options for an active lifestyle, complemented by team events and the Healthy Habits Club. - Work-Life Fusion: In very dynamic industries such as IT, the line between our professional and personal lives can quickly become blurred. Having a one-size-fits-one approach gives us the flexibility to define the work-life dynamic that works for us. - Emotional Wellbeing: We believe that to maintain our overall health, we need to invest in our mental wellbeing just as much as we do in our physical health, social connections or in achieving work-life balance. - Social Wellbeing: As a growing community in a hybrid environment, we want to ensure we remain connected not just by the great work we do every day but through our passions and interests.

• Design, develop, and support artificial intelligence, intelligent automation, data engineering, analytics, and operational intelligence solutions across Clean Energy Fuels. • work across the full solution lifecycle—from business requirements and architecture through development, deployment, and support

Role Description We’re hiring a GTM Analytics Lead to act as a strategic lever across our go-to-market engine. This is a hands-on IC role focused on driving decisions, not just reporting. You’ll refine how we measure performance, uncover what’s actually driving revenue, and surface insights that directly impact how we allocate spend, scale channels, and operate GTM. You will sit at the intersection of Marketing, Sales, and Finance, turning real-time data into action and helping us grow fast while maintaining high-quality, sustainable revenue. Responsibilities - Drive GTM Performance Through Data - Own and refine how we measure performance across marketing, pipeline, and revenue - Turn data into clear recommendations on where to invest, what to cut, and how to scale - Act as a strategic partner to GTM leaders on channel strategy and performance - Ensure growth is not just fast, but efficient and sustainable (strong conversion, healthy CAC, durable revenue) - Channel Discovery & Optimization - Identify new acquisition channels and opportunities to drive incremental pipeline - Deeply analyze existing channels (paid, outbound, partnerships, organic) to improve efficiency and output - Separate signal from noise — understand what is actually driving pipeline and revenue vs what looks good on paper - Evaluate incrementality and ROI across all GTM spend to ensure scalable, repeatable growth - Marketing → Sales → Revenue Connectivity - Tie marketing activity directly to sales outcomes (conversion, velocity, ACV, win rates) - Identify friction points across the funnel and quantify impact - Build views that reflect real sales cycles (not artificial month-based reporting) - Highlight where growth is coming from high-quality vs. low-quality pipeline - Real-Time GTM Insights - Build and maintain reporting that gives teams real-time visibility into performance - Enable faster decision-making across Marketing, Sales, and Leadership - Move the org from lagging indicators → leading indicators - Surface early signals on pipeline quality, conversion risk, and revenue durability - GTM Data & Tooling Ownership - Work across the full GTM stack to ensure data is usable, connected, and actionable: - CRM: HubSpot / Salesforce - Sales tools: Nooks, Unify, Gong - Marketing tools + attribution systems - Data stack: Snowflake, dbt, BI tools (Omni, Looker, etc.) - Build and refine datasets that power GTM reporting (pipeline, attribution, channel performance) - Experimentation & Insight Generation - Partner with Growth and Marketing to analyze experiments and campaigns - Build frameworks to quickly evaluate what’s working and what’s not - Continuously surface insights that drive iteration and improvement - Ensure experiments lead to scalable wins, not one-off spikes Qualifications - 7–10+ years in analytics, growth analytics, or data roles - Experience owning or standing up GTM / growth analytics in a high-growth SaaS environment - Strong exposure to marketing + sales data and full-funnel analysis - Strong SQL and data modeling experience (non-negotiable) - Experience building datasets and working in modern data stacks (dbt, Snowflake, etc.) - Comfortable working across messy, imperfect data environments - Deep understanding of how SaaS GTM works end-to-end - Strong intuition around channels, pipeline generation, and revenue drivers - Ability to tie analysis directly to revenue quality, not just volume - You don’t just report — you push decisions - You focus on impact, not dashboards - You know how to prioritize what actually moves revenue - You care about building a durable growth engine, not short-term wins - Can translate complex data into simple, actionable insights - Comfortable working directly with execs and influencing GTM strategy Benefits - Embrace autonomy and accountability in a flexible work environment; we focus on outcomes and empower you to determine how to get the job done - Access our company-paid group benefits for you and your family, with $1,000 towards mental health support - Disconnect during our holiday closure and take advantage of our generous time off policies throughout the year - Enjoy monthly paid meals, an annual wellness allowance to support your well-being and parental leave top-ups as your family grows - Secure your stake in our success; you’ll receive competitive stock option grants as a pivotal early employee