Jobs at Rockstar

Own the company’s brand and content from strategy through execution. Define voice and narrative, create and distribute content across social, blogs, video, email, website, launches, and sales collateral, and measure performance. Partner closely with founders, sales, and product to turn customer insights and product outcomes into compelling stories and campaigns. The role is fully onsite in New York City and includes travel to customer manufacturing facilities.

Own customer AI agent deployments from workflow discovery through launch and continuous improvement. Map requirements, write SOPs and prompts, build evaluations, configure tools and guardrails, monitor performance, investigate failures, and quantify ROI. Lead customer workshops, manage dependencies, and translate field insights into reusable product improvements. The role requires daily coding and LLM work, close collaboration with product and engineering, five days per week in NYC, and travel to customer sites.

Owns the company’s virtual and in-person community programming for nurse-practitioner practice owners. Responsibilities include managing online communities, planning events, webinars, courses, dinners, and trips, coordinating content and vendors, building engagement workflows, creating campaigns, and collaborating with Growth, Product, Engineering, and Operations. The role develops a community operating playbook from the ground up, supports practice-owner relationships, and drives retention, referrals, and pipeline.

Own end-to-end product engineering across benefits administration workflows, carrier integrations, and embeddable interfaces. Drive product direction, establish scalable technical foundations, collaborate with partners and customers, and translate complex requirements into reliable, maintainable systems. The role offers substantial autonomy on a small, fast-growing team. Experience with Django, Python, React, or TypeScript is helpful but not required.

Build and maintain customer-facing healthcare software, focusing on backend architecture, configurable workflows, automation, APIs, and operational systems. Translate manual processes into scalable software, ensure quality and reliability through testing and observability, debug production issues, influence architecture, and help onboard engineers. The role requires full-stack capability with a strong backend focus and close collaboration with product and operations.

Own product features end to end, from researching freight agents’ workflows and defining solutions to designing interfaces, building APIs and data models, and shipping to production. The role requires full-stack development, strong product judgment, user research, rapid iteration, design-system ownership, and AI-first working practices. You will partner with product and engineering peers to build tools that make independent freight agents more effective.

Owns full-cycle recruiting for engineering and go-to-market roles at an early-stage AI company. Responsibilities include partnering with founders and hiring managers, defining hiring profiles and processes, sourcing candidates, managing candidate experiences, conducting assessments, closing offers, and building scalable recruiting systems. The role is hands-on, high-volume, data-driven, and based in the NYC office five days per week.

Owns end-to-end content campaign performance across client and owned-brand accounts. Develops data-driven content strategies, selects effective formats and hooks, monitors campaign metrics, briefs creatives, orchestrates creators, runs experiments, and guides engineering roadmap priorities. Collaborates with account managers to translate client objectives into campaigns that improve traffic and conversions, with occasional travel to Eastern Europe offices.

Own end-to-end recruiting across all functions, manage ATS and external search partners, run onboarding and PEO processes, handle day-to-day HR operations (PTO, leaves, employee relations, compliance), maintain HRIS records, and partner with hiring managers to build pipelines and close candidates.

Lead architecture and build a data-intensive, customer-facing product stack from backend data pipelines and cloud warehouses to frontend application surfaces. Own technical direction, implement durable software abstractions replacing manual services, ensure quality and reliability, and hire/mentor a small engineering and data team. Translate complex healthcare and practice-management data into usable tools for clinic staff.

Own full-cycle recruiting and onboarding for behavioral health clinicians; build provider pipelines; drive provider engagement, retention, and satisfaction; coordinate with credentialing and ops; track hiring metrics and lead engagement initiatives.

Own and scale the affiliate and creator partnership program across the US, Canada, UK, and EU. Responsibilities include platform selection, commission strategy, creator recruitment, partner relationship management, campaign coordination, performance analytics, attribution, ROI reporting, and international expansion. The role requires growing affiliate revenue, managing negotiations, ensuring regulatory compliance, and making the channel a top revenue driver.

Own and build the clinical recruiting function for a fast-growing virtual behavioral health company. Lead workforce planning, sourcing, market intelligence, candidate screening, stakeholder partnership, recruiting operations, analytics, and process improvement. Recruit licensed behavioral health clinicians, including psychologists and therapists, while optimizing hiring speed, quality, candidate experience, and retention. Partner with executives and clinical leaders to scale hiring across multiple states and telehealth markets.

Lead the design, delivery, and production adoption of integrations-platform features, including SDKs, agents, job pipelines, developer tooling, and related services. Drive AI-enabled integration authoring, reliability, scalability, observability, and cross-platform support. Partner across product, platform, and customer teams to translate needs into technical solutions while providing architectural leadership, mentorship, and hands-on guidance across distributed systems and workflow orchestration.

Design, build, test, refactor, and maintain production Rails software using Rails, Bootstrap, Stimulus, and Postgres. Own a defined codebase area, design data models, review code, maintain disciplined testing, collaborate with product managers, and mentor 1–3 junior engineers. Contribute in a fast-moving startup environment, evaluate third-party tools and APIs, and use AI development tools such as Claude Code or Codex.

Lead architecture, scalability, and reliability for the Integrations Platform across SDKs, agents, job pipelines, and developer tooling. Drive platform roadmap, observability, workflow orchestration, AI-enabled integration authoring, and cross-functional initiatives while mentoring engineers and collaborating with product and customer teams.

Build and scale backend services for identity, access control, secure content sharing, and data access. Contribute to Dgraph internals, collaborate with platform and infrastructure teams, drive architecture and permissions models, and write high-quality Go and Python code focused on reliability, security, and performance.

Lead technical vision, strategy, and execution for an e-learning platform and suite of products. Own roadmap, OKRs, system monitoring, data integrity, security, accessibility, and AI/LLM feature development. Manage one product team member and vendor relationships (external dev agency, hosting, accessibility/security partners). Drive cross-functional alignment with Education, Partnerships, and Operations to deliver scalable, compliant, AI-enabled products.

Manage full-cycle recruiting to source, engage, and hire psychologists and therapists for a virtual mental health startup. Build long-term clinician pipelines, verify licenses across states, maintain ATS, report hiring metrics, collaborate with clinical teams, and develop creative sourcing strategies to improve candidate experience and meet hiring targets.

Lead design, build, deployment, and maintenance of production-grade GenAI systems (LLM apps, agentic workflows, RAG, retrieval, and evaluation). Architect scalable ML services, implement model serving and observability, optimize latency and cost, fine-tune LLMs, translate prototypes to production, mentor engineers, and produce runbooks and documentation.