Ambient Security

Sales

• Take ownership of an assigned territory focused on net new logo and upsell opportunities
• Demonstrate expertise in building business cases that clearly show value and differentiation at all levels of customer organizations including C-level executives
• Constantly generate pipeline using creative techniques, tools, team collaboration, industry events, and top-tier channel partners
• Close deals through world-class planning and preparation, developing and cultivating relationships with enterprise organizations, as well as being consultative in your approach to solving complex real business problems
• Benefit from complementary and robust Sales Engineering, Solution Architecture, Value Consulting, and Transformation Teams throughout sales cycles
• Win deals through world-class planning, preparation, and a consultative approach to problem-solving

Regional Sales Manager – Strategic Accounts

Infrastructure Engineer

• Design, build, and maintain cutting-edge AI infrastructure for real-time computer vision, LLM, LVM, and multimodal inference workloads.
• Build scalable systems for running state-of-the-art models across large volumes of video and sensor data.
• Optimize inference performance across latency, throughput, GPU utilization, reliability, and cost.
• Develop robust evaluation harnesses and benchmarking systems to measure model quality, system performance, regressions, and production readiness.
• Build infrastructure for continuous model evaluation, experimentation, and deployment.
• Partner with research scientists to productionize the latest advances in computer vision, LLMs, LVMs, RAG, and multimodal AI.
• Improve model-serving architecture including batching, caching, routing, quantization, model parallelism, and hardware utilization.
• Develop data engines and feedback loops for collecting training data, evaluating model behavior, and continuously improving AI performance.
• Create reliable observability, monitoring, and debugging tools for production AI systems.
• Help define best practices for deploying, evaluating, and operating AI systems in real-world enterprise environments.

Senior Software Engineer, AI Infrastructure - LVM Inference & Evaluation

• Design, build, and operate scalable database infrastructure for mission-critical production and AI systems.
• Scale relational, analytical, and vector data stores to support growing product, customer, and AI workloads.
• Improve database performance across latency, throughput, availability, reliability, durability, and cost.
• Own database architecture decisions around partitioning, sharding, replication, indexing, caching, query optimization, and data modeling.
• Operate tier-0 data services with strong reliability, observability, incident response, and disaster recovery practices.
• Build automation and tooling to improve database provisioning, migrations, monitoring, backups, failover, and capacity planning.
• Partner with AI teams to support data infrastructure needs for embeddings, vector search, retrieval workflows, training data, model evaluation, and analytics.
• Build low-latency data-serving patterns that power AI features in production
• Work closely with engineering teams to design data access patterns that are scalable, reliable, and performant.
• Identify bottlenecks in production systems and drive improvements across application, database, cache, and infrastructure layers.
• Define and enforce best practices for schema design, database usage, data lifecycle management, and operational safety.
• Help evolve our long-term data platform strategy as the company scales.

Senior Software Engineer, AI Data Systems, Database Infrastructure

Business Development Rep

• Work closely and collaboratively with Regional Sales Managers to develop and implement appropriate prospecting strategies
• Conduct high-volume prospecting to qualify leads through cold calls, emails, and social media
• Schedule marketing assessments and discovery meetings for a Regional Sales Manager to further assess a prospect's business and potential for partnership with Ambient.ai
• Conduct qualification calls with specific prospects as assigned
• Prioritizing opportunities and applying appropriate internal resources
• Use and keep Salesforce up-to-date for lead management and sales forecasting
• Ensure a timely follow-up with all prospects

Business Development Representative

Revenue Operations

• Own pipeline, bookings, and ARR forecasting; lead annual and quarterly GTM planning (quotas, territories, capacity), run QBRs, and partner with Finance and Sales leadership on comp design. Ensure top-down and bottom-up forecasts pencil across Marketing, Sales, and CS, and present forecast and GTM performance to the executive team and board.
• Build and lead the Revenue Operations function — define its structure, hiring roadmap, and operating model, and hire and develop the team as the company scales.
• Design and refine end-to-end lead-to-cash and customer lifecycle processes; improve funnel conversion and eliminate operational friction across the GTM motion.
• Own CRM architecture (HubSpot, Salesforce), the GTM tech stack, data governance, and automation strategy, including tool consolidation and upleveling. Deliver dashboards and self-serve analytics that become the single source of truth for the business.
• Translate company strategy into executable GTM plans; partner with Sales, Marketing, CS, Product, and Finance leadership to align goals, investments, and execution.
• Deliver actionable analysis on pipeline health, marketing-to-sales conversion, rep performance, churn/expansion patterns, and GTM efficiency; identify and drive the strategic initiatives that move the revenue engine forward.

VP, Revenue Operations

• You will take ownership of an assigned territory focused on net new logo and upsell opportunities
• You will demonstrate expertise in building business cases that clearly show value and differentiation at all levels of your customer organizations including C-level executives
• You will constantly generate pipeline using creative techniques, tools, team collaboration, industry events, and top-tier channel partners
• You will close deals through world-class planning and preparation, developing and cultivating relationships with enterprise organizations, as well as being consultative in your approach to solving complex real business problems
• You will demonstrate expertise in building business cases that clearly show value and differentiation at all levels of your customer/prospect organizations
• You will benefit from complementary and robust Sales Engineering, Solution Architecture, Value Consulting, and Transformation Teams throughout your sales cycles
• You will win deals through world-class planning and preparation, as well as being consultative in your approach to solving real business problems

Full-stack Engineer

• Architect AI-Driven GTM Workflows: Design and automate end-to-end processes using Clay, AirOps, and n8n. You will build and maintain the systems that support AI agents used for account prioritization, persona identification, and personalized messaging
• Operationalize Intent Signals: Implement workflows that synthesize first- and third-party intent signals to launch hyper-targeted, data-driven ABM campaigns
• Engineering the "Glue": Write the scripting and "glue-code" (Python/JavaScript) needed to ensure data flows cleanly between Salesforce, HubSpot, Snowflake, and our AI toolchain
• Prompt Engineering & Orchestration: Build and iterate on messaging workflows using structured prompt engineering and model context protocols. You'll lead design sprints to optimize for reusability and outcome predictability
• Measure & Observe: Define KPIs and monitor system performance (e.g., engagement rates, prompt drift, and latency), making data-driven improvements to the GTM stack
• Evangelize the Engine: Document system behavior and contribute to shared prompt libraries, ensuring the Sales and Marketing teams understand how to leverage the "AI brain" you’ve built

Regional Sales Manager – Strategic Accounts

Senior Software Engineer, AI Infrastructure - LVM Inference & Evaluation

Senior Software Engineer, AI Data Systems, Database Infrastructure

Business Development Representative

VP, Revenue Operations

Regional Sales Manager – Strategic Accounts

Senior GTM Engineer