You will lead the technical delivery of production AI agent deployments for healthcare and life sciences organizations, managing the full lifecycle from design to launch. Additionally, you will act as a bridge between client needs and the product team, building reusable components and cloud infrastructure.
Own qualified new-logo opportunities through the full sales cycle, from discovery and demonstrations to proposals, objection handling, and contract signing. Maintain accurate HubSpot pipeline records and forecasts, build relationships with decision-makers, involve Solutions Consultants when needed, and hand closed deals to Customer Success.
Manage the full sales cycle for mid-market and enterprise B2B SaaS opportunities, from lead qualification to contract signature. Build relationships with executive decision-makers and coordinate with internal teams to ensure successful deal execution and handoffs.
Lead and support a pod of approximately 6 to 8 engineers, including coaching, performance management, hiring, and career development, while owning planning, retrospectives, and delivery health. Contribute code regularly and partner with Product Managers and technical leads on priorities, architecture, cross-functional alignment, onboarding, documentation, and ownership clarity.
Lead affordable housing transactions involving LIHTC allocations, tax-exempt bonds, and multiple funding sources from engagement through closing. Manage developer relationships and deal teams, draft and negotiate transaction documents, supervise legal staff, and contribute to training and practice growth.
Own projects end to end, from discovering customer problems to building, deploying, and monitoring full-stack production solutions. Develop voice and email AI agents, build retrieval and evaluation systems, and design for reliability, latency, scale, and cost while investigating production failures.
Optimize the end-to-end data synchronization pipeline and build systems for real-time and streaming data, low-latency caching, and large-scale customer data movement. Identify and resolve scaling and reliability bottlenecks, operate multi-region and multi-cloud infrastructure, and own projects from design through delivery while working with customers on complex scaling challenges.
Advise HOA boards and community managers on governance, Davis-Stirling Act compliance, CC&Rs, and real estate matters, while handling litigation, bankruptcy, and judgment collection cases. Draft and review governance and real estate documents, manage an active caseload, respond to clients within 24 hours, and contribute to marketing through articles and presentations.
Build and improve pipelines that parse clinical documents and transform them into validated executable modules. Collaborate with clinicians to develop benchmarks and deterministic validators to ensure the safety and correctness of clinical decision systems.
Lead and grow multiple product engineering teams while guiding product engineering strategy for a K-12 education technology company. Drive product delivery across scheduling and reporting features while maintaining a hands-on approach to coding and architectural decisions.
You will lead end-to-end client engagements, including pre-sales, architecture design, and implementation of AI agent systems. Additionally, you will bridge the gap between field deployments and product development by sharing insights to create reusable platform capabilities.
The Senior Product Marketing Manager will build and lead the product marketing function, owning positioning, messaging, and go-to-market strategies for B2B software. They will partner with cross-functional teams to drive product adoption, create sales enablement resources, and implement AI-enabled workflows.
You will own the end-to-end design process from wireframes to implementation using React and TypeScript. Additionally, you will build and maintain a scalable design system and component library to ensure consistent user experiences.
Lead technical sales cycles by integrating application security platforms into customer CI/CD pipelines and developer workflows. Own the proof-of-value process, diagnose customer issues, and provide technical guidance to security and DevOps teams.
You will own the full sales cycle for AI-powered behavioral health software, from prospecting to closing deals with mid-market organizations. Additionally, you will help refine sales processes and playbooks while managing a monthly revenue quota.
Lead post-sales discovery to understand customer workflows and design AI-driven customer experiences. Partner with applied AI engineers to configure, launch, and manage enterprise implementations through to production.
You will lead complex enterprise sales cycles for a generative AI infrastructure platform, from initial prospecting through procurement. This involves developing account strategies, managing technical stakeholder relationships, and coordinating internal resources to meet annual sales quotas.
Advise clients on environmental workplace safety regulations, compliance, and permitting matters. Build and grow a portable client practice while collaborating within the firm's national network.
You will own the end-to-end lifecycle of vision models, from research and experimentation to production deployment. You will also build data pipelines, evaluate model performance, and collaborate with leadership to define engineering strategy.
The Founding Enterprise Account Executive will build and manage the end-to-end enterprise sales pipeline for AI solutions. They will also develop sales playbooks and partner with leadership to navigate complex, multi-stakeholder deals.
You will implement and maintain production risk-scoring calculations while building validation tools to ensure accuracy. Additionally, you will contribute to modular analytics libraries and improve system performance as data volumes grow.
Design and maintain high-throughput, fault-tolerant web crawling systems to collect large-scale datasets for AI research. Develop data pipelines to clean, normalize, and manage TB-to-PB scale data while optimizing infrastructure for performance and cost.
Lead technical discovery and deliver value-focused demonstrations for enterprise PLM opportunities. Develop demo environments and messaging while collaborating with product teams to inform product direction.
You will build and prototype AI-powered tools to improve data and marketing workflows while developing reliable LLM pipelines. Additionally, you will create data agents that provide insights and assist users with complex analytics questions.
