Top Tech Jobs & Startup Jobs

The Sales Development Representative generates qualified sales opportunities through outbound prospecting, targeted account research, lead-generation campaigns, qualification calls, and introductory meetings. The role partners with sellers, develops territory expertise, progresses opportunities through the pipeline, and uses AI and sales technologies to improve outreach efficiency and conversion. Success is measured by meeting targets, pipeline progression, and high-quality opportunity creation across payer, provider, and digital health accounts.

Provides advanced IT support across Mac and Windows environments, troubleshooting systems, networks, hardware, and core applications. Owns employee onboarding and offboarding, IT asset management, documentation, training, root cause analysis, and corrective actions. Supports Okta, Google Workspace, Atlassian, Slack, Zoom, Jamf, Intune, and Meraki while driving process improvements and infrastructure reliability. Requires onsite presence in San Francisco two to three days weekly.

Lead end-to-end healthcare analytics consulting projects, translating ambiguous business questions into analyses, managing cross-functional teams, and serving as the primary client contact. Conduct statistical analyses and modeling, monitor project performance, mitigate risks, improve team processes, develop team capabilities, identify account growth opportunities, and provide thought leadership in healthcare analytics. The role requires strong quantitative, communication, project management, client relationship, and SQL, Python, or R skills.

Build and operate secure, scalable AWS and Kubernetes infrastructure using Terraform and GitOps. Administer and optimize Snowflake production environments, improve query performance, manage cloud and data-platform costs, and strengthen FinOps practices. Maintain CI/CD pipelines, observability, IAM, RBAC, networking, and secrets management while aligning with HIPAA and SOC 2 requirements. Participate in on-call rotation and collaborate with engineering, data, and security teams. Use AI-assisted engineering tools safely for infrastructure, scripting, documentation, and analysis.

Leads client-facing AI engagements for life sciences organizations, from scoping and pilot design through delivery. Advises senior stakeholders, manages 3–5 concurrent engagements, coordinates product, data science, and analytics teams, supports presales and renewals, identifies account growth opportunities, and develops repeatable engagement frameworks. The role requires management consulting experience, life sciences expertise, AI or digital transformation pilot delivery, strong project management, executive presence, and approximately 50% travel.

Designs, builds, operates, and improves large-scale data pipelines and foundational data products supporting healthcare analytics, customer applications, and AI/ML use cases. Responsibilities include transforming healthcare datasets, improving reliability and performance, implementing data quality and observability, debugging production workflows, contributing to architecture and CI/CD, and collaborating across engineering and product teams. The role also involves mentoring, technical design reviews, and production support.

Leads Komodo Health’s customer support organization, managing support professionals and improving issue resolution, triage, escalation, and containment. Partners with analytics, engineering, and product teams to resolve recurring technical, product, and healthcare data issues. Establishes KPIs, coaches globally distributed teams, manages offshore resources, and deploys AI-enabled intake and support workflows while shaping global support strategy.

Own and automate employee joiner, mover, and leaver processes across HR, identity, collaboration, ticketing, and SaaS platforms. Administer Okta, Jira Service Management, Google Workspace, Atlassian, Slack, and Zoom; build Python, API, orchestration, and AI-assisted workflows with strong security controls. Manage SaaS and non-human identities, licenses, audit evidence, and automation governance while partnering cross-functionally to improve service delivery and reduce manual effort.

Own revenue operations for a core sales segment, including forecasting, pipeline reviews, QBRs, annual planning, capacity modeling, territory design, and quota setting. Partner with sales, finance, enablement, and other cross-functional teams to improve processes and adoption. Use AI tools and RevOps platforms to automate reporting, identify pipeline and forecast anomalies, address process gaps, and provide strategic recommendations to sales leadership.

Own strategy and execution for core data products, partnering with engineering, product leadership, and commercial teams. Lead customer discovery, define use cases and requirements, establish evaluation criteria, manage sprints, prioritize evidence-based backlogs, and deliver product improvements. The role requires deep technical fluency in SQL, data models, pipelines, and statistical analysis, along with US healthcare data knowledge and effective use of AI tools.