Top Tech Jobs & Startup Jobs in NYC, NY

Lead global mid-market sales performance and revenue growth for Atlassian’s Teamwork Collection. Develop operating plans, strategic sales plays, inspection rhythms, and scalable go-to-market execution. Partner across sales, SDR, channel, demand generation, product, and marketing teams to increase pipeline, accelerate deal velocity, and expand market presence. Enable account executives and sales managers through field readiness, onboarding, and clear positioning of collaboration and AI solutions.

Own and grow a book of ~40 mid-market accounts across LATAM, driving net-new sales and expansion. Lead cross-functional deal teams, qualify and close complex multi-threaded SaaS deals using MEDDPICC, negotiate contracts, forecast pipeline, and maintain executive relationships. Collaborate with channel, product, and customer success and travel occasionally for customer meetings and events.

Lead the technical direction for Atlassian’s Search Serving platform, building globally scalable, low-latency agentic search systems. Own architecture for retrieval, indexing, query processing, and ML inference while improving quality, reliability, scalability, operability, and cost. Establish production ML practices for evaluation, experimentation, observability, rollouts, and incident response. Optimize inference for embedding, retrieval, and ranking models, and lead cross-team initiatives while mentoring senior engineers and aligning technical leaders.

Leads outbound product strategy for Atlassian Service Collection’s enterprise go-to-market plays. Converts customer, competitive, security, compliance, and field evidence into product priorities, operating plans, executive recommendations, playbooks, and scalable mechanisms. Aligns Product, Engineering, Sales, Marketing, Security, Legal, Finance, and Customer Success stakeholders without formal authority, while supporting competitive displacement, enterprise transformation, trust readiness, and customer adoption.

Build and maintain core infrastructure for developing, training, evaluating, deploying, and operating machine learning models and pipelines for Atlassian’s GenAI products. Solve complex software infrastructure and architecture challenges, lead engineers through technical projects from design to launch, and collaborate with internal teams and customers. The role involves large-scale distributed systems, data processing, cloud platforms, CI/CD, and machine learning lifecycle support.

Drive enterprise sales for Atlassian across the East and Central regions of the Americas, working remotely with large organizational customers and supporting their business goals.

Lead technical aspects of enterprise sales cycles for the DX product, including discovery, technical evaluations, proofs of concept, pilots, solution design, product demonstrations, and API integrations. Advise prospects on deployment and analytics best practices, translate technical concepts into business value, and relay customer feedback to Product and Engineering teams.

Sell Atlassian’s Jira Service Management solution to mid-market customers through expert product positioning, value-based engagement, and tailored solutions. Develop sales strategies with account teams, identify customer needs, drive revenue growth, and collaborate with Account Executives, Marketing, Account Management, Product, and Partner Management teams on co-selling opportunities.

Designs scalable data architectures, ELT/ETL pipelines, data models, quality frameworks, and self-service data platforms. Partners with engineering, product, program, leadership, and data science teams to translate business needs into technical solutions. The role includes end-to-end technical ownership, large-scale batch and streaming data processing, mentoring junior engineers, system optimization, and on-call support for platform stability.

Manages post-sale relationships with mid-market and enterprise customers, helping them adopt Atlassian solutions, achieve business outcomes, and expand usage. Develops success plans, conducts executive reviews, identifies churn risks, provides product guidance, and collaborates with account teams and internal departments. Serves as a trusted advisor and voice of the customer while managing a book of business and driving long-term customer value.