Lead delivery for the Payroll development team, contribute as a senior full-stack developer, mentor engineers, partner with Product to translate roadmap into shipped features, champion AI-assisted development tools, ensure quality and reliability of payroll and tax functionality, and support production issue resolution.
Role Summary
The Development Lead owns delivery for Greenshades' Payroll product line, leading a team of engineers responsible for building and evolving core payroll and tax functionality. This role combines hands-on senior-level technical contribution with people leadership, mentoring the team while partnering closely with Product Management to translate priorities into shipped, reliable software. Greenshades is moving increasingly AI-first across engineering, and this role is expected to actively use and champion AI-assisted development tools and practices as a core part of how the team works, not as an optional add-on.
Responsibilities
- Lead day-to-day delivery for the Payroll development team, ensuring committed work ships on time and at a high quality bar.
- Contribute directly as a senior-level developer on complex Payroll and Tax features, setting the technical standard for the team.
- Mentor and uplevel engineers on the team, including code review, technical guidance, and career development.
- Partner closely with the Payroll Product Manager to translate roadmap priorities into scoped, sequenced engineering work.
- Use AI-assisted development tools (e.g., AI coding assistants and agentic development workflows) as a standard part of daily engineering work, and drive adoption of these practices across the team.
- Evaluate and champion new AI-augmented engineering practices and tooling as Greenshades' AI-first development approach continues to evolve.
- Partner with the Sustainability team to ensure smooth knowledge transfer of new Payroll features and to resolve production issues affecting payroll processing.
- Communicate technical tradeoffs, risks, and status clearly to engineering leadership and cross-functional stakeholders.
- Other duties as assigned.
Requirements
- 5+ years of experience building full-stack solutions using languages and frameworks such as C#, Angular, and SQL.
- 2+ years of experience mentoring, leading, and collaborating with others on projects and solutions.
- 2+ years of experience in HCM (Human Capital Management) software or a related domain.
- Hands-on experience with Git and Azure-based development workflows.
- Strong background in full-stack design and development, from database through UI.
- Experience with modern CI/CD pipelines and DevOps practices.
- Experience designing and building Web API / REST interfaces.
- Genuine enthusiasm for AI-assisted and agentic software development practices, and a willingness to adopt and champion these tools as a core part of the job — this is not a role for someone resistant to AI-augmented engineering.
- Comfort operating with support from a dedicated Product Manager on prioritization, while still exercising sound engineering judgment day to day.
Similar Jobs
Artificial Intelligence • Legal Tech
Build and lead GC AI’s revenue operations function from the ground up. Develop go-to-market processes, hire and manage a high-performing team, select and implement operational technology, align Sales, Marketing, Product, Customer Success, and Partnerships, and optimize pipeline, forecasting, retention, deal velocity, win rates, and revenue performance through data-driven KPIs.
Top Skills:
Ai TechnologiesCommand Of The MessageMeddiccRevenue Operations Tools
Insurance • Logistics • Software • Transportation • Business Intelligence
Build AI-augmented BI dashboards, semantic layers, and AI-ready metadata. Use AI-assisted tools to accelerate SQL and dashboard development, productionize ML outputs into BI, enforce data quality and governance, and present insights to business stakeholders including C-suite.
Top Skills:
AtlanChatgptClaude CodeEtl ToolsGithub CopilotLarge Language Models (Llms)Llm/Ai ApisLookerNosql DatabasesOpenmetadataPower BIPythonRag (Retrieval-Augmented Generation)RedashSemantic ViewsSnowflakeSQL
Insurance • Logistics • Software • Transportation • Business Intelligence
Transform data into actionable insights by building dashboards, reports, and visualizations. Partner with cross-functional teams and data engineering to ensure data quality, lineage, and AI-ready metadata. Audit datasets, define monitoring rules, document data dictionaries, pilot AI-assisted BI tools, and apply hypothesis-driven analysis to surface insights that inform business decisions.
Top Skills:
Ai Coding AssistantsAtlanEtl ToolsLlm-Based ToolsLookerModern Data StackNoSQLOpenmetadataPower BIPythonRedashSnowflakeSQL
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
