Jobs at Ambient.ai

Lead pre-sales efforts for enterprise customers by partnering with sales teams, conducting product demonstrations, managing technical pilots, performing business value assessments, developing proposals, and serving as a trusted technical advisor. The role requires translating technical capabilities into business outcomes, supporting complex multi-stakeholder deals, collaborating cross-functionally with Product, Customer Success, and Engineering, and influencing the product roadmap through customer feedback.

Lead pre-sales activities for enterprise customers, including product demonstrations, technical pilots, business value assessments, proposals, and complex deal execution. Partner with sales, product, customer success, and engineering teams while serving as a trusted technical advisor. Translate technical capabilities into business outcomes and support customer success. The role requires enterprise SaaS or hardware sales experience, networking knowledge, Linux skills, and familiarity with cloud environments.

Manage and grow relationships with channel partners, distributors, and VAR resellers in the physical security market. Responsibilities include onboarding new partners, supporting partner-led opportunities, coordinating joint campaigns and product launches, tracking partner performance and pipeline metrics, and driving revenue through channel sales. The role requires strong partner enablement, co-selling, communication, relationship-building, and cross-functional collaboration skills.

Manage and grow relationships with channel partners, distributors, and VAR resellers. The role includes onboarding new partners, supporting partner-led opportunities, coordinating joint campaigns and product launches, tracking partner performance and pipeline metrics, and driving revenue through channel partnerships in the physical security market.

Own enterprise customer outcomes from post-sale implementation through renewal, adoption, and expansion. Lead deployment, onboarding, testing, training, and rollout while translating AI platform capabilities into measurable security and operational results. Build relationships with technical users and executives, resolve complex cross-functional issues, capture product feedback, and identify expansion opportunities. The role requires up to 30% travel.

Full-cycle quota-carrying role owning territory strategy and execution for new logo acquisition and expansion. Generate pipeline, build business cases, work with Sales Engineering, and close complex enterprise deals with C-level stakeholders using consultative, value-based selling.

Design, build, and operate scalable, highly available database and data-serving infrastructure for production and AI workloads. Scale relational, analytical, and vector stores; optimize latency, throughput, and reliability; implement partitioning, sharding, replication, caching, query optimization, observability, backups, and disaster recovery. Partner with AI and engineering teams to support embeddings, vector search, retrieval workflows, analytics, and low-latency data access while building automation, tooling, and best practices for database operations.

Lead and build the Revenue Operations function to create a predictable, scalable GTM engine. Own forecasting, planning, CRM architecture, GTM tech stack, data governance, funnel/process optimization, cross-functional alignment, and executive/board reporting to drive pipeline, bookings, ARR, and GTM efficiency.

Lead a software engineering team to develop innovative products in the physical security space, ensuring high technical standards and mentoring team members.

Design and build backend APIs and services for enterprise security teams. Collaborate with frontend engineers, product managers, and designers on product features from concept to production.

As a Fullstack Engineer, you will design and implement core systems for real-time data processing using AI to enhance physical security. You'll work on scalable microservices, develop APIs, and manage cloud service reliability.

Lead post-sale deployment, onboarding, and long-term adoption of an AI-driven physical security platform. Drive cross-functional alignment, define success criteria, train users, capture feedback, and identify expansion opportunities while managing complex enterprise stakeholders and operational rollouts.

As an EPD Software Engineer at Ambient.ai, you will design and implement web services, manage microservices, and optimize backend systems for video streaming data processing.

The Software Engineer will design REST/GraphQL endpoints, implement microservices, optimize backend performance, manage cloud operations, and develop large-scale platform features.