Top Tech Jobs & Startup Jobs

Lead go-to-market strategy and launches for an agentic AI business unit serving regulated life sciences buyers. Develop product positioning, messaging, narratives, sales enablement, campaigns, and customer-facing value propositions. Partner with Product, Sales, Demand Generation, and Revenue Operations, track pipeline and revenue impact, and use AI tools to streamline marketing execution. The role requires B2B SaaS or technology marketing experience, strong technical writing, product launch expertise, and cross-time-zone collaboration.

Leads and scales Dot Compliance’s global commercial sales organization, owning revenue strategy, pipeline generation, international market growth, sales playbook development, forecasting, and high-velocity SMB and mid-market SaaS sales. Builds and mentors distributed sales teams, develops managers, partners cross-functionally with Marketing, Product, and Revenue Operations, and positions quality and compliance solutions for pharmaceutical, biotech, and medical device customers worldwide.

Lead complex B2B software product initiatives from concept through launch and adoption. Partner with enterprise customers to validate needs, create AI-assisted prototypes, define architectures and integrations with technical teams, and align Sales, Marketing, and Customer Success around product strategy. The role requires hands-on product management, technical understanding of APIs, databases, analytics, and backend systems, plus experience building products for life sciences customers.

Manage strategic customer relationships for a SaaS life-sciences compliance platform. Drive retention, renewals, expansion, adoption, and value realization; run executive business reviews, monitor account health, lead change management, and scale customer success playbooks.

Develop Salesforce solutions using Apex, LWC, Visualforce, and complex Flows; configure and implement customer requirements; manage deployments, performance testing, and validation; create Python scripts and automation tools; build AI-powered agents and internal tooling; and collaborate with R&D, Product, and Professional Services teams during customer onboarding and implementation.