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Regional Sales Manager, Strategic Accounts Location Texas Employment Type Full time Location Type Remote Department Sales Compensation Base Salary $150K • Offers Equity • Offers Commission At Ambient.ai, we take a market-based approach to compensation. Final offers are based on job-related skills, experience, location, and internal equity. Base salary is just one part of our total rewards package, including stock options and the opportunity to share in the company’s growth. Overview Application Build a safer world with us, one incident at a time. Ambient.ai is the category creator and leader in Agentic Physical Security. Powered by Ambient Pulsar, the first reasoning Vision-Language Model purpose-built for physical security, our platform seamlessly integrates with existing security cameras and physical access control systems to unify monitoring, access control, threat assessment, response, and investigations through an always-on reasoning layer that augments security operators with superhuman capabilities. The results: 95% fewer false alarms, investigations 20x faster, and 10x faster response. The momentum speaks for itself: we doubled new ARR in FY26, and have delivered results for world-class customers including Cisco, ServiceNow, SentinelOne, TikTok, Bayer, and MoMA. That kind of momentum creates an environment where great people thrive, and it shows: we recently ranked #71 out of 500 on the Forbes best startup employers list. Founded in 2017 and backed by Andreessen Horowitz, Y Combinator, and Allegion Ventures, Ambient.ai is on a fast-paced journey to fulfill our mission: prevent every security incident possible. Ready to learn more? Connect with us on LinkedIn and YouTube About the role: As a Regional Sales Manager, Strategic Accounts, you'll own the full sales strategy and execution for a defined territory, driving both new customer acquisition and expansion revenue. This is a full-cycle, quota-carrying role built for someone who's comfortable navigating complex enterprise deals with multiple stakeholders - from security operations leaders to C-suite executives - and who wants to help define what enterprise sales looks like in a brand-new product category. You'll be building your book of business largely from scratch in a market Ambient.ai is actively creating, which means the role rewards strategic territory planning and creative pipeline generation as much as it does deal execution. You'll work closely with Sales Engineering, so you're never building a business case alone. What you'll do: 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 What you'll bring: 5+ years of experience evangelizing enterprise technology, with a focus on SaaS and disruptive cloud technologies Consistent track record of over-achievement; net new logo accomplishments; and keen understanding of how to leverage partner relationships You have significant experience with MEDDIC as a leading indicator driven sales process (highly preferred) You demonstrate a true “value-based” sales approach and have experience explaining complex ROI models to C-level customers You’re ready to think differently, learn, and embrace new methodologies You’re a natural champion builder and go the extra mile to add real value You’re an entrepreneur - you run your patch like a business You don’t cut corners, even with SFDC hygiene A track record of overachievement and hitting sales targets Driven and competitive: Possesses a strong desire to be successful Why join us: We are creating an entirely new category within a 180+ billion-dollar physical security industry and looking for team members who are also passionate about our mission to prevent every security incident possible We have an impressive customer roster of F500 companies including Adobe, VMware, and SentinelOne Regular Full-time employees receive stock options for the opportunity to share ownership in the success of our company Comprehensive health + welfare package (Medical, Dental, Vision, Life, EAP, Legal Services, 401k plan) We offer flexible time off to rest and recharge including Winter Break (time off between Christmas and New Year’s for most roles depending on customer demand) The latest tech and awesome swag delivered to your door Enjoy a full range of opportunities to connect with your awesome co-workers We love to hike, are foodies, and love music! Check out our most recent Ambient Spotify Playlist #LI-Remote Ambient.ai is proud to be an Equal Opportunity Employer. Ambient does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. Ambient is an E-Verify participant. Apply for this Job Powered by Privacy PolicySecurityVulnerability Disclosure

Listed by Ambient for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

57 days ago

Senior Software Engineer, AI Infrastructure - LVM Inference & Evaluation

Ambient · Redwood City, CA, United States

Pay

$168k–205k

Setting

Hybrid

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Senior Software Engineer, AI Infrastructure - LVM Inference & Evaluation Location Redwood City Employment Type Full time Location Type Hybrid Department Engineering Compensation $168K – $205K • Offers Equity At Ambient.ai, we take a market-based approach to compensation. Final offers are based on job-related skills, experience, location, and internal equity. Base salary is just one part of our total rewards package, including stock options and the opportunity to share in the company’s growth. Overview Application Build a safer world with us, one incident at a time. Ambient.ai is the category creator and leader in Agentic Physical Security. Powered by Ambient Pulsar, the first reasoning Vision-Language Model purpose-built for physical security, our platform seamlessly integrates with existing security cameras and physical access control systems to unify monitoring, access control, threat assessment, response, and investigations through an always-on reasoning layer that augments security operators with superhuman capabilities. The results: 95% fewer false alarms, investigations 20x faster, and 10x faster response. The momentum speaks for itself: we doubled new ARR in FY26, and have delivered results for world-class customers including Cisco, ServiceNow, SentinelOne, TikTok, Bayer, and MoMA. That kind of momentum creates an environment where great people thrive, and it shows: we recently ranked #71 out of 500 on the Forbes best startup employers list. Founded in 2017 and backed by Andreessen Horowitz, Y Combinator, and Allegion Ventures, Ambient.ai is on a fast-paced journey to fulfill our mission: prevent every security incident possible. Ready to learn more? Connect with us on LinkedIn and YouTube About the role: Reporting to Raghu Nallamothu, you will design, build, and optimize the AI infrastructure that powers Ambient.ai’s real-time intelligence platform. In this role, you will work on the systems required to run state-of-the-art deep learning models across many terabytes of video data in real time. You will help build and scale infrastructure for inference, evaluation, and continuous model improvement across computer vision models, large language models, large vision models, and multimodal AI systems. This role is ideal for someone with a strong blend of infrastructure engineering, production ML systems, LLM/LVM inference, evaluation harnesses, and inference optimization experience. You will partner closely with research scientists and product engineering teams to bring the latest AI advancements into production for our customers. What you'll do: 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. What you'll bring: 4+ years of industry experience building infrastructure, distributed systems, machine learning platforms, or production AI systems. BS/MS in Computer Science or a related technical field, or equivalent practical experience. Strong programming background, especially in Python, with solid software engineering fundamentals. Experience designing and building scalable machine learning infrastructure for training, inference, evaluation, and deployment. Hands-on experience running deep learning models in production, ideally including LLMs, LVMs, vision-language models, or multimodal models. Strong understanding of inference optimization techniques, including batching, caching, quantization, parallelism, memory optimization, GPU utilization, and latency reduction. Experience with model-serving frameworks or systems such as vLLM, Triton Inference Server or similar technologies. Experience building evaluation frameworks, test harnesses, benchmarks, regression tests, or model-quality measurement systems. Strong background in machine learning and deep learning; computer vision experience is a strong plus. Experience designing data engines or pipelines for collecting, managing, and curating training and evaluation data. Familiarity with integrating advanced AI systems such as LLMs, LVMs, RAG pipelines, embedding models, or multimodal models into production applications. Experience with cloud infrastructure, containers, orchestration, distributed systems, and GPU-based workloads. Strong collaboration and communication skills, with the ability to work effectively with research scientists, product teams, infrastructure teams, and stakeholders. Proactive problem-solving ability, a strong ownership mindset, and adaptability to incorporate new AI technologies and methodologies. Nice to Have Experience operating large-scale GPU infrastructure or distributed inference systems. Experience with CUDA, NCCL, PyTorch, TensorRT, ONNX, or similar ML systems technologies. Experience with video understanding, real-time computer vision, multimodal AI, or physical-world AI systems. Experience with model compression, speculative decoding, distillation, pruning, or low-latency serving techniques. Experience with prompt evaluation, model regression testing, human-in-the-loop evaluation, or automated quality gates. Familiarity with retrieval-augmented generation, vector databases, embedding models, re-rankers, or search infrastructure. Experience building internal ML platforms or tools used by researchers and applied ML teams. What Success Looks Like You will be successful in this role if you can build practical, scalable infrastructure that helps Ambient.ai deploy better AI models faster and more reliably. You should be comfortable working across the full stack of production AI systems, from model behavior and evaluation to serving architecture, GPU performance, observability, and customer-facing reliability. This is a hands-on engineering role for someone excited to help bring the next generation of AI, computer vision, LLMs, and LVMs into real-world production environments. Why join us: We are creating an entirely new category within a 180+ billion-dollar physical security industry and looking for team members who are also passionate about our mission to prevent every security incident possible We partner with an incredible customer roster of F500 companies, including Adobe, TikTok, Gap and SentinelOne Regular Full-time employees receive stock options for the opportunity to share ownership in the success of our company Comprehensive health + welfare package (Medical, Dental, Vision, Life, EAP, Legal Services, 401k plan) We offer flexible time off to rest and recharge, including Winter Break (time off between Christmas and New Year’s for most roles, depending on customer demand) The latest tech and awesome swag will be delivered to your door Enjoy a full range of opportunities to connect with your awesome co-workers We love to hike, are foodies, and love music! Check out our most recent Ambient Spotify Playlist We’ve found that in-person time meaningfully supports collaboration, creativity, and team alignment. Our talent, engineering, product, design, and marketing teams work from our Redwood City office three days a week. All other Bay Area employees join on Fridays to stay connected and close out the week together. Ready to learn more? Connect with us onLinkedIn| YouTube #LI-Hybrid Ambient.ai is proud to be an Equal Opportunity Employer. Ambient does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. Ambient is an E-Verify participant. Apply for this Job Powered by Privacy PolicySecurityVulnerability Disclosure

Listed by Ambient for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

57 days ago

Senior Software Engineer, AI Data Systems & Database Infrastructure

Ambient · Redwood City, CA, United States

Pay

$168k–205k

Setting

Hybrid

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Build a safer world with us, one incident at a time.

Ambient.ai is the category creator and leader in Agentic Physical Security. Powered by Ambient Pulsar, the first reasoning Vision-Language Model purpose-built for physical security, our platform seamlessly integrates with existing security cameras and physical access control systems to unify monitoring, access control, threat assessment, response, and investigations through an always-on reasoning layer that augments security operators with superhuman capabilities. The results: 95% fewer false alarms, investigations 20x faster, and 10x faster response.

The momentum speaks for itself: we doubled new ARR in FY26, and have delivered results for world-class customers including Cisco, ServiceNow, SentinelOne, TikTok, Bayer, and MoMA. That kind of momentum creates an environment where great people thrive, and it shows: we recently ranked #71 out of 500 on the Forbes best startup employers list.

Founded in 2017 and backed by Andreessen Horowitz, Y Combinator, and Allegion Ventures, Ambient.ai is on a fast-paced journey to fulfill our mission: prevent every security incident possible.

Ready to learn more? Connect with us on and

About the role:

We are looking for a Senior Platform Engineer to design, build, and scale the database platform that powers our most critical production and AI systems.

We are looking for an engineer who deeply understands databases and distributed systems, and who can build the platforms, abstractions, and scaling patterns required to operate data stores reliably at high scale.

In this role, you will work at the intersection of databases, distributed systems, application architecture, and AI infrastructure. You will help scale relational, analytical, and vector data stores across both the database layer and the application layer. This includes designing systems for partitioning, sharding, routing, caching, replication, query optimization, and high-availability operations.

You will also work closely with AI teams to build the data infrastructure that supports modern AI applications, including vector search, retrieval-augmented generation, embedding stores, model evaluation datasets, analytical workloads, and low-latency data access for AI-powered product experiences.

The ideal candidate has built or operated database platforms at scale and understands the tradeoffs behind systems like Vitess, CockroachDB, Spanner, DynamoDB, Cassandra, Redis, ClickHouse, and modern vector search systems. You should be comfortable reasoning about latency, availability, durability, consistency, reliability, and operational complexity in tier-0 production environments.

This role is ideal for someone who wants to apply deep database and distributed systems expertise to the next generation of AI-powered products.

What you'll do:

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.

What you'll bring:

7+ years of industry experience in database infrastructure, backend infrastructure, distributed systems, or production platform engineering.
Deep hands-on experience operating and scaling production databases in high-availability environments.
Strong experience with relational databases such as PostgreSQL, MySQL, Aurora, CockroachDB, Vitess, or similar systems.
Experience with analytical data stores such as ClickHouse, BigQuery, Snowflake, Redshift, Druid, Pinot, or similar technologies.
Experience with vector databases or vector search systems such as pgvector, Pinecone, Milvus, OpenSearch, or similar systems.
Strong understanding of partitioning, sharding, replication, indexing, caching, query planning, and storage engine tradeoffs.
Proven ability to optimize systems for low latency, high availability, reliability, and operational simplicity.
Experience operating tier-0 or business-critical infrastructure services with strong uptime and reliability requirements.
Strong understanding of caching strategies using systems such as Redis, Memcached, CDN-backed caches, or application-level caching.
Experience with observability, monitoring, alerting, SLOs, capacity planning, and incident response for database systems.
Strong programming skills, ideally in Python, C++, Go, or similar languages.
Experience with cloud infrastructure, Kubernetes, Terraform, CI/CD, and infrastructure-as-code practices.
Ability to collaborate effectively with backend, AI, product, security, and infrastructure teams.
Strong ownership mindset and ability to make pragmatic tradeoffs in complex production environments.

Nice to Have

Experience scaling databases for real-time, high-volume, customer-facing products.
Experience with multi-region database architectures, replication, failover, disaster recovery, and data residency considerations.
Experience with database migration strategies, online schema changes, zero-downtime migrations, and backfills.
Experience supporting AI or ML workloads, including vector search, retrieval-augmented generation, embedding pipelines, feature stores, training data pipelines, or model evaluation systems.
Experience with streaming systems such as Kafka, Flin, or Spark..
Experience with database internals, storage engines, distributed consensus, or query execution.
Experience managing cost and performance tradeoffs across cloud-managed and self-hosted database systems.
Experience building internal database platforms, tooling, or paved paths for engineering teams.

What Success Looks Like

You will be successful in this role if you can operate critical database systems with a high bar for reliability while continuously improving scale, performance, and developer velocity.

You should have a strong bias for operational excellence, a deep understanding of database tradeoffs, and a proven track record of scaling real production systems. You should be comfortable debugging complex latency issues, planning capacity before it becomes a problem, and designing systems that remain reliable as data volume, query complexity, and customer usage grow.

This role is ideal for someone who has done this work before: scaling production data stores, improving reliability, reducing latency, and supporting teams that depend on data infrastructure as the foundation for their products and AI systems.

Why join us:

We are creating an entirely new category within a 180+ billion-dollar physical security industry and looking for team members who are also passionate about our mission to prevent every security incident possible
We partner with an incredible customer roster of F500 companies, including Adobe, TikTok, Gap and SentinelOne
Regular Full-time employees receive stock options for the opportunity to share ownership in the success of our company
Comprehensive health + welfare package (Medical, Dental, Vision, Life, EAP, Legal Services, 401k plan)
We offer flexible time off to rest and recharge, including Winter Break (time off between Christmas and New Year’s for most roles, depending on customer demand)
The latest tech and awesome swag will be delivered to your door
Enjoy a full range of opportunities to connect with your awesome co-workers
We love to , are foodies, and love music! Check out our most recent

We’ve found that in-person time meaningfully supports collaboration, creativity, and team alignment. Our talent, engineering, product, design, and marketing teams work from our Redwood City office three days a week. All other Bay Area employees join on Fridays to stay connected and close out the week together.

Ready to learn more? Connect with us on|

#LI-Hybrid

Ambient.ai is proud to be an Equal Opportunity Employer. Ambient does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. Ambient is an E-Verify participant.

Listed by Ambient for a position based in the United States. Employers on this board attest they are hiring domestically.

American Dynamism

84 days ago

VP, Revenue Operations

Ambient · Redwood City, CA, United States

Pay

$195k–240k

Setting

Hybrid

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VP, Revenue Operations Location Redwood City Employment Type Full time Location Type Hybrid Department Finance Compensation Base Salary $195K – $240K • Offers Equity • Offers Bonus At Ambient.ai, we take a market-based approach to compensation. Final offers are based on job-related skills, experience, location, and internal equity. Base salary is just one part of our total rewards package, including stock options and the opportunity to share in the company’s growth. Overview Application Build a safer world with us, one incident at a time. Ambient.ai is the category creator and leader in Agentic Physical Security. Powered by Ambient Pulsar, the first reasoning Vision-Language Model purpose-built for physical security, our platform seamlessly integrates with existing security cameras and physical access control systems to unify monitoring, access control, threat assessment, response, and investigations through an always-on reasoning layer that augments security operators with superhuman capabilities. The results: 95% fewer false alarms, investigations 20x faster, and 10x faster response. The momentum speaks for itself: we doubled new ARR in FY26, and have delivered results for world-class customers including Cisco, ServiceNow, SentinelOne, TikTok, Bayer, and MoMA. That kind of momentum creates an environment where great people thrive, and it shows: we recently ranked #71 out of 500 on the Forbes best startup employers list. Founded in 2017 and backed by Andreessen Horowitz, Y Combinator, and Allegion Ventures, Ambient.ai is on a fast-paced journey to fulfill our mission: prevent every security incident possible. Ready to learn more? Connect with us on LinkedIn and YouTube About the role: We're at a tipping point. We've built a solid foundation — now it's time to go from 1 to 10. The VP, Revenue Operations will architect the predictable, scalable revenue engine across Sales, Marketing, and Customer Success that powers that next chapter. Reporting directly to our CEO, Shikhar Shrestha, this executive will be the connective tissue of our GTM organization — setting strategy, building the team and systems, and instilling operational rigor as we scale. You will own the rhythm of the business across forecasting, analytics, systems, process design, and pipeline governance, and you'll build and lead the Revenue Operations function as the company grows. This role is ideal for a strategic operator and proven leader who thrives at the intersection of insight, execution, and cross-functional leadership — and who wants to make a measurable, company-level impact in a rapidly growing, mission-driven organization. What you'll do: Forecasting & Planning: 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. Team Leadership: 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. Process & Funnel Optimization: Design and refine end-to-end lead-to-cash and customer lifecycle processes; improve funnel conversion and eliminate operational friction across the GTM motion. Systems & Data Management: 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. Cross-Functional Alignment: Translate company strategy into executable GTM plans; partner with Sales, Marketing, CS, Product, and Finance leadership to align goals, investments, and execution. Insights & Strategy: 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. What you'll bring: 10–15 years of Revenue Operations, Sales Operations, or GTM strategy experience in B2B SaaS, including supporting high-growth enterprise sales motions — candidates with exclusively tactical Sales Operations experience will not be a fit for this role Experience scaling GTM operations through hypergrowth at an enterprise B2B SaaS startup — you've built the operational infrastructure (forecasting, planning, systems, territory design) for a company transitioning from early GTM to a repeatable, multi-segment enterprise motion Experience building and leading a Revenue Operations (or equivalent GTM operations) function, including hiring and developing a team Proven ability to design scalable processes and lead complex cross-functional initiatives at the executive level Strong analytical and modeling skills; deep fluency in funnel metrics and SaaS KPIs Exceptional communication, stakeholder management, and executive- and board-level storytelling Sets a high bar and consistently delivers excellence; a relentless builder with a strong bias toward action Why join us: We are creating an entirely new category within a 180+ billion-dollar physical security industry and looking for team members who are also passionate about our mission to prevent every security incident possible We have an impressive customer roster of F500 companies including Adobe, VMware, and SentinelOne Regular Full-time employees receive stock options for the opportunity to share ownership in the success of our company Comprehensive health + welfare package (Medical, Dental, Vision, Life, EAP, Legal Services, 401k plan) We offer flexible time off to rest and recharge including Winter Break (time off between Christmas and New Year’s for most roles depending on customer demand) The latest tech and awesome swag delivered to your door Enjoy a full range of opportunities to connect with your awesome co-workers We love to hike, are foodies, and love music! Check out our most recent Ambient Spotify Playlist #LI-Hybrid Ambient.ai is proud to be an Equal Opportunity Employer. Ambient does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. Ambient is an E-Verify participant. Apply for this Job Powered by Privacy PolicySecurityVulnerability Disclosure

Listed by Ambient for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

110 days ago

Software Engineer - Backend (Product)

Ambient · Redwood City, CA, United States

Pay

$168k–205k

Setting

Hybrid

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Software Engineer - Backend (Product) Location Redwood City Employment Type Full time Location Type Hybrid Department Engineering Compensation $168K – $205K • Offers Equity At Ambient.ai, we take a market-based approach to compensation. Final offers are based on job-related skills, experience, location, and internal equity. Base salary is just one part of our total rewards package, including stock options and the opportunity to share in the company’s growth. Overview Application Build a safer world with us, one incident at a time. Ambient.ai is the category creator and leader in Agentic Physical Security. Powered by Ambient Pulsar, the first reasoning Vision-Language Model purpose-built for physical security, our platform seamlessly integrates with existing security cameras and physical access control systems to unify monitoring, access control, threat assessment, response, and investigations through an always-on reasoning layer that augments security operators with superhuman capabilities. The results: 95% fewer false alarms, investigations 20x faster, and 10x faster response. The momentum speaks for itself: we doubled new ARR in FY26, and have delivered results for world-class customers including Cisco, ServiceNow, SentinelOne, TikTok, Bayer, and MoMA. That kind of momentum creates an environment where great people thrive, and it shows: we recently ranked #71 out of 500 on the Forbes best startup employers list. Founded in 2017 and backed by Andreessen Horowitz, Y Combinator, and Allegion Ventures, Ambient.ai is on a fast-paced journey to fulfill our mission: prevent every security incident possible. Ready to learn more? Connect with us on LinkedIn and YouTube About the role You'll design and build the backend powering Ambient.ai's product experience for enterprise security teams. The APIs and services you ship are used directly by operators at Fortune 500 companies to monitor and respond to security events across tens of thousands of cameras. You'll own a core product area end to end, partnering with frontend engineers, designers, and product managers to take features from concept to scaled production. Expect a mix of greenfield work on new product surfaces and depth work on systems already serving large enterprise deployments. What you'll do Design and ship backend APIs and services, from 0-to-1 prototypes through enterprise rollout. Own a product area end to end: data modeling, API design, performance, reliability, and operational health. Partner with product, design, and frontend to turn ambiguous problems into concrete technical plans. Tune performance and reliability under real production load, including peaks from real-time alert pipelines. Build the monitoring, logging, and alerting needed to catch issues before customers do. Contribute to architecture reviews, code reviews, and team standards. What we're looking for 6+ years of backend engineering experience, with meaningful time on user-facing web or mobile products. Strong Python skills and production experience with Flask, Django, or FastAPI. Solid API design instincts across REST, GraphQL, or gRPC, and a clear point of view on what makes an interface clean. Comfort modeling data across SQL, NoSQL, time-series, and vector stores, with a sense of the tradeoffs between them. Working knowledge of at least one major cloud platform (AWS, GCP, or Azure). A track record of debugging hard production issues and shipping the fix. Nice to have Real-time systems experience: WebSockets, server-sent events, pub/sub, or streaming pipelines. Working knowledge of TypeScript and a modern frontend framework like React or Vue, enough to read frontend code and reason about end-to-end flows. Background in any of: video infrastructure, computer vision applications, notification and alert routing, or LLM and agentic applications. Experience scaling multi-tenant SaaS into large enterprise deployments. Why join us: We are creating an entirely new category within a 180+ billion-dollar physical security industry and looking for team members who are also passionate about our mission to prevent every security incident possible We partner with an incredible customer roster of F500 companies, including Adobe, TikTok, Gap and SentinelOne Regular Full-time employees receive stock options for the opportunity to share ownership in the success of our company Comprehensive health + welfare package (Medical, Dental, Vision, Life, EAP, Legal Services, 401k plan) We offer flexible time off to rest and recharge, including Winter Break (time off between Christmas and New Year’s for most roles, depending on customer demand) The latest tech and awesome swag will be delivered to your door Enjoy a full range of opportunities to connect with your awesome co-workers We love to hike, are foodies, and love music! Check out our most recent Ambient Spotify Playlist We’ve found that in-person time meaningfully supports collaboration, creativity, and team alignment. Our talent, engineering, product, design, and marketing teams work from our Redwood City office three days a week. All other Bay Area employees join on Fridays to stay connected and close out the week together. Ready to learn more? Connect with us onLinkedIn| YouTube #LI-Hybrid Ambient.ai is proud to be an Equal Opportunity Employer. Ambient does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. Ambient is an E-Verify participant. Apply for this Job Powered by Privacy PolicySecurityVulnerability Disclosure

Listed by Ambient for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

287 days ago

Director, Software Engineering (Product)

Ambient · Redwood City, CA, United States

Pay

$200k–260k

Setting

Hybrid

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Director, Software Engineering (Product) Location Redwood City Employment Type Full time Location Type Hybrid Department Engineering Compensation $200K – $260K • Offers Equity At Ambient.ai, we take a market-based approach to compensation. Final offers are based on job-related skills, experience, location, and internal equity. Base salary is just one part of our total rewards package, including stock options and the opportunity to share in the company’s growth. Overview Application Build a safer world with us, one incident at a time. Ambient.ai is the category creator and leader in Agentic Physical Security. Powered by Ambient Pulsar, the first reasoning Vision-Language Model purpose-built for physical security, our platform seamlessly integrates with existing security cameras and physical access control systems to unify monitoring, access control, threat assessment, response, and investigations through an always-on reasoning layer that augments security operators with superhuman capabilities. The results: 95% fewer false alarms, investigations 20x faster, and 10x faster response. The momentum speaks for itself: we doubled new ARR in FY26, and have delivered results for world-class customers including Cisco, ServiceNow, SentinelOne, TikTok, Bayer, and MoMA. That kind of momentum creates an environment where great people thrive, and it shows: we recently ranked #71 out of 500 on the Forbes best startup employers list. Founded in 2017 and backed by Andreessen Horowitz, Y Combinator, and Allegion Ventures, Ambient.ai is on a fast-paced journey to fulfill our mission: prevent every security incident possible. Ready to learn more? Connect with us on LinkedIn and YouTube About the role: Reporting to Kiran Palan, you will lead a team of passionate, talented engineers building products that are reshaping the physical security industry. As an Engineering Leader, you're responsible for developing new product concepts while supporting current product growth. You will help define our growth strategy while working closely with product managers to align the strategy, process, and delivery against the product roadmap. In this role, you will align internal business partners and leadership around this plan and partner with cross-functional teams to execute this plan. You will play an active part in measuring and owning the quality and experience of the product while maintaining agility. What you'll do: Lead the current product engineering team, which includes front-end, Mobile, and backend developers Design, guide, and vet systems design within the scope of the broader area related to product development Scale the current team, hire and onboard new team members, and develop a high-performing team of software engineers Be highly technical, a hands-on coder, and an effective people coach Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence) Give your team the tools, context, confidence, and motivation to make decisions effectively and independently People management: Set clear expectations with individuals based on their level and role, while meeting regularly with individuals to discuss performance and development, and provide feedback and coaching What you'll bring: 4+ years of engineering management experience with a proven ability to build awesome, high-performing teams and lead complex technical initiatives Bachelor's degree in Computer Science, Engineering, or a related technical degree Experience driving architecture and product decisions, and shipping products with consistent execution Proficient in full-stack design principles and able to lead code architecture and implementation decisions Comfortable coaching team members with different skill sets and technical areas of focus and expertise Understands and has led agile software development and management Organized and thrive in fast-paced environments Why join us: We are creating an entirely new category within a 180+ billion-dollar physical security industry and looking for team members who are also passionate about our mission to prevent every security incident possible We partner with an incredible customer roster of F500 companies, including Adobe, TikTok, Gap and SentinelOne Regular Full-time employees receive stock options for the opportunity to share ownership in the success of our company Comprehensive health + welfare package (Medical, Dental, Vision, Life, EAP, Legal Services, 401k plan) We offer flexible time off to rest and recharge, including Winter Break (time off between Christmas and New Year’s for most roles depending on customer demand) The latest tech and awesome swag will be delivered to your door Enjoy a full range of opportunities to connect with your awesome co-workers We love to hike, are foodies, and love music! Check out our most recent Ambient Spotify Playlist We’ve found that in-person time meaningfully supports collaboration, creativity, and team alignment. Our talent, engineering, product, design, and marketing teams work from our Redwood City office three days a week. All other Bay Area employees join on Fridays to stay connected and close out the week together. Ready to learn more? Connect with us onLinkedIn| YouTube #LI-Hybrid Ambient.ai is proud to be an Equal Opportunity Employer. Ambient does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. Ambient is an E-Verify participant. Apply for this Job Powered by Privacy PolicySecurityVulnerability Disclosure

Listed by Ambient for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

292 days ago

Sr. Software Engineer, Fullstack

Ambient · Redwood City, CA, United States

Pay

$125k–210k

Setting

Hybrid

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Sr. Software Engineer, Fullstack Location Redwood City Employment Type Full time Location Type Hybrid Department Engineering Compensation $125K – $210K • Offers Equity At Ambient.ai, we take a market-based approach to compensation. Final offers are based on job-related skills, experience, location, and internal equity. Base salary is just one part of our total rewards package, including stock options and the opportunity to share in the company’s growth. Overview Application Build a safer world with us, one incident at a time. Ambient.ai is the category creator and leader in Agentic Physical Security. Powered by Ambient Pulsar, the first reasoning Vision-Language Model purpose-built for physical security, our platform seamlessly integrates with existing security cameras and physical access control systems to unify monitoring, access control, threat assessment, response, and investigations through an always-on reasoning layer that augments security operators with superhuman capabilities. The results: 95% fewer false alarms, investigations 20x faster, and 10x faster response. The momentum speaks for itself: we doubled new ARR in FY26, and have delivered results for world-class customers including Cisco, ServiceNow, SentinelOne, TikTok, Bayer, and MoMA. That kind of momentum creates an environment where great people thrive, and it shows: we recently ranked #71 out of 500 on the Forbes best startup employers list. Founded in 2017 and backed by Andreessen Horowitz, Y Combinator, and Allegion Ventures, Ambient.ai is on a fast-paced journey to fulfill our mission: prevent every security incident possible. Ready to learn more? Connect with us on LinkedIn and YouTube About the role: We’re looking for a Full Stack Engineer to help build and scale the core systems that power Ambient.ai’s real-time AI security platform. In this role, you’ll work on software that ingests, processes, and interprets massive volumes of video and event data in real time - transforming raw signals into actionable intelligence for some of the world’s largest enterprises. You can expect to regularly take on technically challenging problems in a fast-moving, collaborative environment and to see your work deployed in mission-critical customer environments. What you'll do: Build and maintain full stack features using React, TypeScript and Python Partner with product and design to translate user needs into intuitive interfaces and high quality workflows Create and maintain APIs and backend services. This includes working with data flows between edge devices, cloud services and client applications Optimize performance across the stack with a focus on responsiveness, reliability and scalability Contribute to architectural decisions including data storage, caching, service boundaries and partitioning Review code, mentor other engineers and promote strong engineering practices Work with cloud infrastructure, CI/CD pipelines and modern DevOps tooling Participate in planning, design reviews and cross-team collaboration What you'll bring: BS in Computer Science or equivalent field with a programming background At least 4+ years of experience building scalable and available web services. Strong experience working with at least one of the Object-oriented Programming Languages, like Python, Django, and React.js, would be required Expertise in APIs (REST / GraphQL), general web backend design principles, relational databases (MySQL / Postgres), streaming pipelines, pub-sub systems, and indexing systems Write clean and maintainable code Design and implement complex systems including communication between several services (pub-sub paradigm, microservices architecture) Manage service reliability, including any cloud operations work (AWS, Google Cloud) Experience with Redis, Kafka, RabbitMQ, ActiveMQ, or similar tools/technologies will be highly preferred Experience building SaaS product offerings will be a huge advantage. Why join us: We are creating an entirely new category within a 180+ billion-dollar physical security industry and looking for team members who are also passionate about our mission to prevent every security incident possible We partner with an incredible customer roster of F500 companies, including Adobe, TikTok, Gap and SentinelOne Regular Full-time employees receive stock options for the opportunity to share ownership in the success of our company Comprehensive health + welfare package (Medical, Dental, Vision, Life, EAP, Legal Services, 401k plan) We offer flexible time off to rest and recharge, including Winter Break (time off between Christmas and New Year’s for most roles, depending on customer demand) The latest tech and awesome swag will be delivered to your door Enjoy a full range of opportunities to connect with your awesome co-workers We love to hike, are foodies, and love music! Check out our most recent Ambient Spotify Playlist We’ve found that in-person time meaningfully supports collaboration, creativity, and team alignment. Our talent, engineering, product, design, and marketing teams work from our Redwood City office three days a week. All other Bay Area employees join on Fridays to stay connected and close out the week together. Ready to learn more? Connect with us onLinkedIn| YouTube #LI-Hybrid Ambient.ai is proud to be an Equal Opportunity Employer. Ambient does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. Ambient is an E-Verify participant. Apply for this Job Powered by Privacy PolicySecurityVulnerability Disclosure

Listed by Ambient for a position based in the United States. Employers on this board attest they are hiring domestically.

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