Jobs at Jane App

Own access control product execution, including backlog management, prioritization, discovery, permission and role requirements, and shipping. Align product teams around a shared access model, improve default clinic roles, communicate changes clearly, and protect privacy in sensitive healthcare contexts. The role requires influencing without formal authority, collaborating with a partner Product Manager and cross-functional teams, and using AI responsibly for discovery, writing, and prototyping.

Own the security engineering product portfolio, including the in-house security platform and Jane Account Protection. Develop roadmaps, requirements, rollout plans, vendor evaluations, and adoption reporting while partnering with security, engineering, privacy, legal, identity, and communications teams. The role requires security expertise across application security, vulnerability management, access management, and AI coding-agent risks, along with strong influence, communication, and product management skills.

Own the strategy, roadmap, adoption, and evolution of Jane’s frontend platform and design system. Partner with engineering and design leads to improve developer workflows, migrations, accessibility, deployment resilience, observability, and AI-ready tooling. Conduct discovery with internal product teams, define adoption metrics, guide architectural trade-offs, and help teams transition from legacy UX and Rails views to React and Module Federation.

Own inbound website checkup calls for clinic owners, provide actionable SEO recommendations, and develop into running demos and introductory calls for Jane’s marketing services. Manage and nurture warm leads in Close CRM, explain value and costs clearly, and prioritize fit over aggressive selling. The role requires strong customer communication, the ability to simplify technical concepts, coachability, self-direction, and rapid learning of tools such as Claude.

Harden AWS cloud environments, CI/CD pipelines, container infrastructure, and software supply chains. Build CSPM remediation workflows, security guardrails, secrets remediation, container validation, and developer-facing controls. Partner with infrastructure and product teams to establish secure defaults, contribute to AI security standards and governance, participate in on-call operations, and improve runbooks and incident reviews.

Lead and grow an AI-first software development team focused on clinic activation and onboarding. The manager will remain hands-on through architecture reviews, pairing, code shipping, and technical direction. They will partner with product, design, and data to run weekly releases, instrumentation, and experiments, while shaping AI-driven onboarding and responsible AI adoption. The role also requires coaching developers, owning activation outcomes, and partnering with adjacent AI and product teams.

Lead and coach a senior engineering team exploring AI-assisted development. Champion AI adoption across the engineering organization, partner with developers to identify real needs, measure productivity and quality, connect internal experimentation, and drive organizational change through clear communication and iterative execution.

Partners with Marketing, Product, and Design leaders and employees to support organizational growth, succession planning, org design, change management, career frameworks, employee development, culture, belonging, and complex people matters. Acts as a trusted coach and strategic advisor while contributing to broader People initiatives, including onboarding, performance, engagement, and AI-enabled process improvement.

Provide high-volume customer support for a complex SaaS practice-management platform through phone, chat, and video. Troubleshoot issues, guide clinics through onboarding, lead product demos, and tailor communication to different learners. The role combines support, sales, and onboarding while requiring adaptability, curiosity, strong communication, openness to feedback, and a commitment to improving the customer experience.

Build developer productivity tools and shared infrastructure that enable approximately 300 developers to ship faster. Responsibilities include developing agentic AI systems, plugins, skills, cloud execution environments, context management, measurement, and safety guardrails. The role also involves diagnosing development friction across teams, increasing agent-authored code adoption, supporting large codebases, and helping developers adopt new tools through documentation, teaching, and collaboration.

Own end-to-end financial data analysis, including SQL and dbt data modeling, Looker dashboard development, data quality validation, reconciliation, and stakeholder-facing insights. Partner with Finance and Payments to support reporting, planning, revenue analysis, cost insights, and transaction-level analytics. Translate ambiguous business needs into reliable technical solutions while improving documentation, QA, modeling, and data architecture practices.

Own GitHub administration and developer operations across multiple organizations, 900+ repositories, and 300+ developers. Establish security and operational baselines, automate configuration and compliance, manage integrations and access controls, and guide organization-wide adoption. Extend the model to Jira, Datadog, JFrog, and other SDLC tools while partnering with security and engineering teams. This remote-first role requires autonomy, consultative influence, change management, and responsible use of AI coding tools.

Build customer-facing payment features, including IC+ pricing, surcharging, and payment automation. Design and scale reliable payment systems using enterprise architecture patterns, collaborate with Product to deliver measurable outcomes, and communicate effectively within a distributed team. The role is backend-focused with opportunities to grow across the stack, apply AI tools throughout the software development lifecycle, and contribute to business-critical SaaS products.

Owns end-to-end data infrastructure, including secure data lakes, streaming applications, data warehouse systems, replication and change data capture pipelines. Responsibilities include architecture, deployment, maintenance, performance optimization, security controls, documentation, operational runbooks, and cross-functional partnership with analytics and product teams. The role requires strategic data infrastructure thinking and production experience in SaaS or data-heavy environments.

Lead product security initiatives focused on application security, systemic vulnerability remediation, secure architecture, software development lifecycle improvements, GitHub workflows, SCA tooling, and private package repositories. Partner with developers, promote secure development practices, experiment with AI-assisted vulnerability analysis and fixes, represent Product Security cross-functionally, and mentor teammates.

Lead the technical vision and scaling of Jane’s AWS infrastructure. Design highly available, multi-region systems, operate databases at scale, improve platform reliability, reduce alert noise, strengthen security and compliance, and guide other engineering teams on cloud architecture. Drive ambiguous, cross-team infrastructure initiatives, build consensus, participate in on-call rotations, and help the team use AI tools responsibly.

Lead design and implementation of Jane's customer data infrastructure: own event collection, pipelines, CDP tooling, schema governance, identity resolution, and attribution. Work cross-functionally with marketing, BI, product, and engineering to set standards, evaluate tooling (e.g., RudderStack), ensure privacy-compliant instrumentation, and build reliable, consistent data delivery to the warehouse.

Lead SMB and self-serve demand generation across paid media, website strategy, SEO, AEO, lifecycle marketing, and AI-driven growth initiatives. Manage a team of channel experts, optimize acquisition and activation with Growth Product, define measurement and attribution strategies, collaborate with Sales and Support, and build scalable programs that drive revenue and customer growth.

Build and maintain the product analytics data foundation: design scalable dbt models, define semantic models and governed metrics, partner with Engineering on instrumentation, certify datasets for BI tools, monitor pipelines and data quality, and use AI to accelerate analytics engineering workflows.

Build and operate the core BI platform: own ingestion, integration, modular dbt pipelines, and enterprise data models. Establish data quality, testing, governance, observability, and CI/CD. Monitor platform health, certify pipelines and data products, and mentor analytics engineers to enable trusted, self-service analytics and AI-augmented workflows.