Jobs at Ambient.ai

Talent Sourcer responsible for building targeted candidate pipelines across engineering, product, design, sales, marketing, and customer success. The role focuses on high-volume outreach, AI-assisted sourcing, personalized engagement, sourcing analytics, candidate tracking in Ashby, market intelligence, and partnership with recruiters and hiring managers. The sourcer will initially focus on outreach and may expand into screening, coordination, and pipeline management as the company grows.

Supports enterprise, channel, and commercial sales by delivering product demonstrations, technical presentations, evaluations, pilots, proof-of-concept engagements, and technical validation. Partners with sales, customers, and channel partners to translate Ambient.ai capabilities into security and business outcomes. Provides networking and cloud expertise, develops proposals and enablement materials, gathers customer feedback, and collaborates cross-functionally to advance complex technology sales.

Own and execute Ambient.ai’s content marketing engine across blogs, social media, webinars, websites, email, SEO, AEO, GEO, and PR. Translate complex AI and physical security concepts into buyer-focused content that builds authority and drives qualified pipeline. Manage content creation, publishing, promotion, performance analysis, media outreach, AI-assisted workflows, and content-library optimization. Collaborate with product marketing, demand generation, design, internal stakeholders, and freelance writers.

Partner with Engineering, Product, and Design teams to define hiring needs, source and assess technical candidates, and manage full-cycle recruiting through closing. Use AI-powered recruiting tools, build technical domain knowledge, design job descriptions and interview guides, deliver strong candidate experiences, advise hiring managers, and track recruiting metrics and pipeline performance.

Lead technical pre-sales efforts for enterprise customers, including product demonstrations, technical pilots, business value assessments, proposals, and complex multi-stakeholder deal support. Partner with sales, product, engineering, and customer success teams while serving as a trusted technical advisor. Translate platform capabilities into measurable business outcomes and support Fortune 500 customer acquisition.

Manage daily office operations, facilities presentation, employee onboarding, events, company swag, vendors, budgets, visitor experiences, workplace safety, security protocols, and India office support. The role also coordinates equipment and desk setup, leads company meetings, supports basic IT troubleshooting, and oversees office compliance and culture initiatives.

Own full-cycle recruiting for Sales, Marketing, Customer Success, and G&A roles. Responsibilities include sourcing and screening candidates, managing pipelines in Ashby, partnering with hiring managers, coordinating interviews, guiding candidates through offers, and improving recruiting processes. The role requires 4+ years of non-technical or GTM recruiting experience, strong sourcing and closing skills, ATS proficiency, metrics-minded organization, communication skills, and daily AI fluency.

Lead enterprise sales across the East Coast, managing 4–6 Regional Sales Managers and driving revenue growth across all channels. Responsibilities include developing enterprise sales strategy, setting and exceeding revenue targets, coaching teams on MEDDPICC and related methodologies, recruiting sales talent, forecasting, and closing seven-figure Fortune 100 opportunities. The role requires strong physical security industry knowledge, sales leadership, communication skills, and frequent engagement in a fast-growing company environment.

Leads enterprise sales growth across the East Coast by managing 4–6 Regional Sales Managers, developing strategic sales plans, setting revenue targets, forecasting, recruiting talent, coaching teams on MEDDPICC and related methodologies, and closing large Fortune 100 deals. The role requires extensive enterprise software sales experience, demonstrated quota attainment, team leadership, customer acquisition expertise, and interest in the physical security industry.

Leads East Coast revenue growth for Ambient.ai by managing 4–6 Regional Sales Managers, developing enterprise sales strategy, setting targets, forecasting revenue, coaching teams, and hiring sales talent. The role focuses on closing seven-figure Fortune 100 deals, expanding pipelines, applying MEDDPICC and related sales methodologies, and building success in the physical security software market.

Own the roadmap, strategy, and execution for a substantial enterprise product area. Lead cross-functional feature development from conception through launch, conduct user research and usability studies, analyze success metrics, and engage enterprise customers to guide product improvements and new capabilities.

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.

Own full-cycle enterprise sales for a defined territory, driving new customer acquisition and expansion revenue. Build pipeline, develop strategic relationships, create ROI-based business cases for executive stakeholders, and close complex deals. Partner with Sales Engineering, Solution Architecture, Value Consulting, Transformation Teams, and channel partners. Manage territory strategy, maintain Salesforce hygiene, use consultative and value-based selling, and ideally apply MEDDIC methodology.

Own full-cycle enterprise sales strategy and execution for a defined territory, driving new customer acquisition and expansion revenue. Generate pipeline, build executive-level business cases, cultivate enterprise relationships, leverage partners, and close complex consultative deals. The role requires quota ownership, strategic territory planning, value-based selling, ROI modeling, and collaboration with Sales Engineering, Solution Architecture, Value Consulting, and Transformation teams.

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.

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.

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.

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.