Top Tech Jobs & Startup Jobs in NYC, NY

Serve as strategic legal counsel to product and engineering teams on AI/ML, data governance, intellectual property, regulatory, and platform issues. Develop scalable legal frameworks and launch checklists for AI product innovation, act as the primary legal partner for product initiatives, collaborate with legal subject-matter experts, and help build the Product Counsel function’s operating model and culture.

Principal Machine Learning Engineer responsible for setting technical direction and building production-grade AI systems for Confluence. The role spans model evaluation, retrieval, ranking, prompt and workflow design, experimentation, reliability, and customer-facing AI product development. Responsibilities include making architectural decisions, partnering across engineering and product teams, mentoring engineers, identifying model and product failure modes, and delivering scalable AI experiences across content creation, editing, discovery, recommendations, and multimodal interaction.

Design, build, and operate scalable, low-latency search and retrieval systems powering Atlassian products. Develop and serve production ML models (neural rankers, embeddings, rerankers) using PyTorch and Triton. Implement vector indexing and RAG/agentic retrieval pipelines, ensure observability and cost optimization, manage on-call/runbooks, and collaborate cross-functionally while mentoring junior engineers.

Develop and deploy machine learning and LLM capabilities for agentic search, query understanding, search planning, and retrieval. Build evaluation datasets, improve model behavior through experimentation and fine-tuning, and optimize quality, latency, cost, and reliability. Collaborate across search, product, infrastructure, and AI teams while owning projects through production and mentoring engineers.

Partners with sales teams and strategic accounts to solve complex enterprise business problems using Atlassian products. Conducts customer discovery, identifies expansion opportunities, leads customized value-based demonstrations, guides technical sales processes, builds executive relationships, and coordinates cross-functional teams to support enterprise deals. Tracks customer feedback and competitive intelligence while continuously developing product, solution, platform, and pre-sales expertise.

Leads a team of 10–15 software engineers responsible for Atlassian Government Cloud release infrastructure and processes. Owns release planning, readiness, go/no-go decisions, cutover, verification, rollback, incident escalation, and compliance. Defines a multi-quarter roadmap covering trunk-based development, feature flags, progressive rollouts, automated gates, and rollback automation. Partners across engineering, product, QA, SRE, security, and compliance while coaching team members and improving release reliability.

Leads enterprise and strategic sales for Atlassian’s Teamwork Collection, managing specialists, setting revenue strategies and targets, coaching and recruiting sales professionals, analyzing performance, developing executive relationships, and collaborating with account teams, partners, and solution engineers. The role requires consultative, value-based selling expertise, SaaS leadership experience, and knowledge of teamwork workflows, software delivery, and enterprise AI applications.

Manage the full customer lifecycle, including implementation, adoption, success planning, renewals, and expansion. Partner with customers to drive engineering transformation, align business goals, develop high-value use cases, and integrate DX into workflows. Track account metrics, forecast renewals, address risks, lead executive discussions, and collaborate cross-functionally to improve customer outcomes.

Provide strategic technical guidance to enterprise and public sector customers using Atlassian Data Center and Cloud solutions. Advise stakeholders on architecture, migrations, integrations, upgrades, security, adoption, and transformation. Create technical solution content, promote service and product expansion, advocate for customer needs internally, and collaborate across Sales, Product, Support, and Advisory Services. The role requires up to 30% domestic and international travel.

Leads and develops software engineering teams responsible for customer acquisition, experimentation, personalization, and SEO/AEO features. Owns delivery outcomes, prioritization, technical strategy, architecture, system resilience, engineering excellence, and team health. Partners with product managers, TPMs, designers, and recruiting teams while guiding distributed systems, cloud infrastructure, developer tooling, and applied AI/ML initiatives.