Top Tech Jobs & Startup Jobs in NYC, NY

Analyze behavioral data, apply advanced analytics, causal inference, machine learning, and AI to evaluate product experiments and estimate feature impact. The intern will derive insights for product roadmaps, collaborate with product and engineering teams, communicate recommendations to senior leaders, and support a fact-based data science culture.

Leads employee relations cases, workplace investigations, leave and accommodation programs, and complex return-to-work matters. Advises managers and People Business Partners, manages external vendors, identifies trends, and improves policies, processes, employee experience, and program effectiveness across a global workforce.

Conduct research and develop AI solutions for Duolingo’s education products. The role involves solving complex problems, prototyping and evaluating approaches, implementing effective solutions at scale, collaborating cross-functionally, and sharing findings internally and with the broader research community.

Leads strategic, cross-functional technical programs across Growth and the broader organization. Responsibilities include roadmap definition, organizational change management, executive alignment, risk and dependency management, launch execution, process improvement, and mentoring TPMs and engineering leads. The role requires technical credibility, autonomy, strong influence without direct authority, and experience transforming engineering organizations. Familiarity with AI/ML infrastructure, LLM products, large datasets, and AWS is advantageous.

Owns the Duolingo English Test proctoring quality standard, calibration and adjudication programs, certification, ongoing adult learning, and quality measurement. The role develops rubrics, training, decision guidance, and audit-ready processes; analyzes disagreement and performance data; directs specialists and adjudicators; and partners with Psychometrics, Security, Operations, Product, and Engineering to validate human and AI-assisted workflows.

Build and grow Duolingo’s programmatic advertising business by developing agency and advertiser relationships, selling premium PMP and PG deals, managing revenue forecasts and quotas, and negotiating commitments. The role develops pricing, packaging, measurement, and audience-data propositions; partners with Ad Operations on deal setup and delivery; coordinates with direct sales and account management; and establishes scalable sales processes and playbooks.

Develop culturally relevant social-native creative for Duolingo across social, experiential, OOH, partnerships, events, and products. Create content, concepts, short-form video, and cultural activations; provide feedback to creators; steward brand voice and visual language; present ideas; and collaborate with marketing, design, production, PR, partnerships, and legal teams. The role requires hands-on execution, strategic thinking, strong copywriting, art direction, and deep internet culture fluency.

Own and improve Duolingo’s language-learning products from ideation through experimentation, release, analysis, and iteration. Develop product strategy, conduct qualitative and quantitative research, guide engineers, align cross-functional teams and leadership, and optimize learning experiences to make language education engaging and effective.

The Senior Site Reliability Engineer will improve the reliability, scalability, and operational performance of Duolingo’s distributed systems. Responsibilities include diagnosing production infrastructure, designing systems, developing automation and platforms, conducting launch reviews and root cause analyses, maintaining incident response and postmortem practices, reducing operational toil, and supporting engineering teams during feature releases.

Develop and improve trustworthy quarterly user-growth forecasts at Duolingo. Collaborate with Product, Finance, Strategy, leadership, and other data scientists to translate business and product changes into analytical requirements and actionable recommendations. Validate forecasting methodologies, build robust repeatable forecasting processes, communicate complex findings clearly, and mentor junior data scientists. The role requires strong quantitative expertise, real-world forecasting experience, and fluency in SQL, Python, and analytics engineering ecosystems.