15Five

Solutions Engineer

• Serve as the Technical Closer and Strategic Co-Pilot for 15Five’s revenue team, covering both Mid-Market and Enterprise segments.
• Secure the "Tech Win" by validating complex requirements, navigating global HRIS integrations, and translating high-level HR philosophy into technical reality.
• Embed yourself in the sales cycle as a revenue partner, adapting to various sales styles and elevating deal strategy.
• Conduct high-stakes demos tailored to the audience, showcasing edge cases and bespoke workflows.
• Serve as the authority on the HRIS ecosystem, building and scoping API/SFTP integrations live.

Solutions Consultant – Mid-Market, Enterprise

Data Scientist

• Conduct in-depth analysis of large structured and unstructured datasets to uncover patterns, insights, and signals that inform AI models, knowledge representations, and product decisions.
• Develop and apply statistical methods to identify patterns, trends, and correlations in HR performance, engagement, and behavioral data, supporting evidence-based insights and model development.
• Design and engineer features from diverse data sources (e.g., reviews, surveys, behavioral signals, organizational data) to power machine learning models and construct structured AI context layers and knowledge representations used by intelligent systems and agents.
• Lead the creation and curation of high-quality labeled datasets, including annotation frameworks, evaluation datasets, and ground truth benchmarks that support model training and validation.
• Design, develop, and train machine learning models (supervised, unsupervised, and representation-learning approaches) for use cases that enhance customer outcomes and enable intelligent product capabilities.
• Develop data structures, embeddings, and context-enrichment pipelines that enable AI agents to retrieve relevant organizational knowledge, behavioral insights, and product context.
• Partner with engineering teams to operationalize models in production environments, ensuring scalability, reliability, and alignment with product architecture.
• Design evaluation frameworks and continuously monitor model performance, iterating on models, data pipelines, and features based on experimentation, feedback, and evolving business needs.
• Work closely with product, engineering, and design teams to translate business problems into data science solutions and ensure models deliver measurable value.
• Maintain clear documentation for datasets, modeling approaches, evaluation frameworks, and data pipelines to ensure reproducibility, transparency, and knowledge transfer across teams.
• Design evaluation datasets and benchmarking frameworks to measure AI agent performance, including retrieval quality, reasoning accuracy, and contextual relevance.
• Ensure that data used in models and AI systems meets privacy, security, and ethical standards, particularly when working with sensitive employee performance and engagement data.

Staff Data Scientist

Full-stack Engineer

• Build and enhance the Data Intelligence Platform, including pipelines, tooling, and agentic infrastructure.
• Partner with Data Scientists to develop AI platform capabilities, complex models, and agentic applications.
• Own and improve existing autonomous agents; design, orchestrate, and deploy new ones across the product.
• Implement best practices across software, data, and ML/AI engineering to strengthen our agentic ecosystem.
• Build data models and pipelines that support the entire engineering organization.
• Design scalable data platform features for ingestion, storage, validation, governance, monitoring, and ETL/reverse‑ETL.
• Use AI‑assisted code generation effectively while ensuring code quality, security, and performance.
• Review code and architecture, contribute to documentation, and elevate engineering standards.
• Bring a product mindset to planning, helping shape vision, goals, and roadmap.

Senior Software Engineer

Product Manager

• Define and own the product vision for AI‑assisted performance and agentic workflows.
• Build and execute a clear, outcome‑driven product strategy and roadmap.
• Lead end‑to‑end product delivery across performance workflows, agentic systems, AI meeting assistance, and coaching.
• Partner closely with Engineering and Design to deliver intuitive, low‑friction experiences.
• Ensure alignment between core platform capabilities and in‑workflow AI surfaces across web, integrations, and agents.
• Establish human‑in‑the‑loop safeguards, transparency, and trust in AI outputs.
• Drive customer discovery through interviews, usability testing, and early‑adopter beta programs.
• Translate insights into rapid iteration and continuous improvement.
• Define and own product success metrics, including adoption, engagement, and impact.
• Collaborate with GTM, Support, and Customer teams to ensure strong delivery and enablement.
• Communicate product vision, roadmap, and progress to internal and external stakeholders.

Senior Product Manager

Account Manager

• Own the end-to-end renewal and expansion lifecycle across a defined strategic portfolio, ensuring consistent renewal execution and quota achievement.
• Develop account-level renewal readiness and expansion strategies grounded in customer outcomes, adoption milestones, and evolving business priorities.
• Build and maintain multi-threaded stakeholder relationships, including executive sponsors, to strengthen long-term partnership stability.
• Generate and progress qualified expansion pipeline through value-based selling, initiative alignment, and proactive opportunity identification.
• Execute coordinated team-selling motions to close complex, multi-stakeholder renewal and expansion opportunities.
• Maintain high-accuracy renewal and expansion forecasts, including disciplined pipeline management, opportunity strategy, and stage progression.
• Proactively identify renewal risks, budget changes, competitive threats, and organizational shifts, developing early mitigation and save strategies.
• Partner closely with your Renewal & Expansion team members as well as key cross-functional partners such as: Customer Experience Managers, Professional Services Managers, Support, Product, and Executive Sponsors to ensure coordinated execution that drives measurable customer outcomes.

Solutions Consultant – Mid-Market, Enterprise

Staff Data Scientist

Senior Software Engineer

Senior Product Manager

Strategic Account Manager