HavocAI

HavocAI · Supports Organization

“Havoc software enables one operator to task and supervise”

Decisive Point · Supports Organization

“HavocAI is revolutionizing maritime autonomy.”

HavocAI · Supports Organization · name

“HavocAI | All-Domain Collaborative Autonomy”

HavocAI · Supports System

“FEATURED AIRCRAFT ## Havoc Kestrel Havoc Kestrel is a development unmanned aircraft system (UAS) that accelerates the development of deployable autonomous systems by turning real-world flight testing into faster learning cycles. - Validate autonomy behaviors - Test communications resilience - Evaluate RGB and thermal perception systems - Refine operator workflows”

HavocAI · Supports System

“Locust is a multirole tactical UAS built for swarm, strike, and ISR missions and designed for low-cost production, compact transport, and rapid deployment”

HavocAI · Supports System

“Rampage is an attritable, modular, multi-mission, and self-righting autonomous surface vessel (ASV) designed for distributed maritime operations at scale”

HavocAI · Supports System

“Havoc OS manages mission execution, autonomy behaviors, navigation, perception, and communications. It runs on every vehicle, giving them the ability to evaluate conditions continuously and execute mission plans autonomously”

Supports System

“Havoc Connect creates a resilient peer-to-peer overlay network”

Tectonic · May 13, 2026 · Supports Funding round

“it’s raised a $100M Series A led by Cobalt Capital”

Havoc · May 12, 2026 · Supports Funding round, Funding round · amount, Organization · ownership

“**PROVIDENCE, R.I. — May 12, 2026** — [Havoc](/), the all-domain collaborative autonomy company, today announced a $100 million Series A funding round, bringing the company’s total capital raised to ~$200 million since 2024. The round included participation from new investors CCM Capital Markets, Clear Street LLC, Cobalt Capital, Boardman Bay Capital Management, Meet Perry, Mute Ventures, Soren Ventures, SAIC, and JA Green. Existing investors included Outlander VC, Scout VC, B Capital, Lockheed Martin, Taiwania Capital, UP.Partners, and The Veteran Fund, alongside participation from Vanderbilt University’s endowment.”

U.S. Securities and Exchange Commission · May 12, 2026 · Supports Funding round

“Total Amount Sold $187,485,471 USD”

PR Newswire · Oct 10, 2025 · Supports Funding round · amount, Funding round · announced on, Funding round · investors

“today announced it has secured $85 million in new capital.”

Fortune · Oct 9, 2025 · Supports Funding round

“HavocAI closed an $85 million venture funding round at the end of September”

MarineLink · Sep 20, 2024 · Supports Funding round, Funding round · amount

“The round was led by Scout Ventures, co-led by Trousdale Ventures,”

U.S. Securities and Exchange Commission · Sep 17, 2024 · Supports Funding round

“Total Amount Sold $12,233,286 USD”

Crunchbase via Bright Data · Supports Organization · x url, Role · founders

“x_url: https://x.com/havocai_usv”

LinkedIn via Bright Data · Supports Organization · company size, Organization · founded, Organization · headquarters, Organization · logo, Organization · url, Organization metric · employees in linkedin, Organization metric · followers

“{"company_size": "201-500 employees"}”

LinkedIn via Bright Data · Supports Job posting · job listing

“{"company_id": "100271170", "company_name": "HavocAI", "company_url": "https://www.linkedin.com/company/havocai?trk=public_jobs_topcard-org-name", "job_employment_type": "Full-time", "job_location": "San Diego, CA", "job_posted_time": "1 week ago", "job_posting_id": "4462454198", "job_seniority_level": "Mid-Senior level", "job_summary": "About Us Havoc is a leader in all-domain collaborative autonomy. Its software-defined hardware approach powers military and commercial-grade autonomous systems across sea, air, and land to sense, decide, and act together in complex and contested environments. Havoc connects assets, enabling them to share information, adapt in real time, and continue operating even when communications are disrupted or denied. Havoc optimizes mission performance and minimizes human risk. Havoc was founded in 2024 and headquartered in Providence, Rhode Island. Learn more at Havoc: All-Domain Collaborative Autonomy . About The Role We are seeking a Senior Recruiter to help build the team that will define HavocAI’s next stage of growth. This is a high-ownership, full-cycle recruiting role supporting both technical and non-technical hiring across the business. You’ll recruit across a wide range of disciplines, including engineering, product, mission operations, finance, legal, People, and go-to-market. Priorities can shift quickly based on customer demand, program needs, and company growth, so success in this role requires someone who is comfortable moving fast, operating with limited structure, and changing direction without losing momentum. You will partner closely with hiring managers and leadership to understand evolving talent needs, build recruiting strategies, source exceptional candidates, and close critical hires. This is not a role for someone who needs a highly defined requisition load or established process. You should be comfortable building the process while executing it. We are looking for a recruiter who is proactive, resourceful, highly organized, and motivated by the challenge of hiring exceptional people in a competitive market. Key Responsibilities Own full-cycle recruiting across multiple technical and non-technical functions, from initial intake through offer acceptance. Partner directly with hiring managers and business leaders to define requirements, develop job descriptions, establish hiring profiles, and build recruiting strategies. Recruit across a broad and evolving mix of roles, including: Technical: software, autonomy, robotics, hardware, systems, maritime, manufacturing, and related engineering disciplines. Non-Technical: mission operations, program management, finance, legal, People, operations, and go-to-market. Quickly pivot between searches and hiring priorities as business and program needs evolve. Proactively source and engage exceptional passive talent through LinkedIn, GitHub, referrals, networking, industry communities, and creative sourcing strategies. Build strong pipelines for both immediate openings and anticipated future hiring needs. Manage the entire candidate lifecycle, including outreach, screening, interview management, feedback, candidate communication, and offer closing. Deliver a high-quality, high-touch candidate experience while maintaining the speed required in a fast-growing organization. Maintain disciplined recruiting processes and accurate candidate data in Ashby, including pipeline management, reporting, and compliance. Drive interview processes forward, identify bottlenecks, and hold stakeholders accountable for timely feedback and decision-making. Develop strong relationships with passive candidates and talent communities across defense technology, robotics, autonomy, aerospace, and adjacent industries. Partner with People and leadership on employer branding and recruiting initiatives that strengthen HavocAI’s ability to attract exceptional talent. Use pipeline data, market intelligence, and recruiting metrics to identify challenges, recommend solutions, and inform hiring decisions. Continuously improve recruiting processes without allowing process-building to slow execution. Qualifications 5+ years of recruiting experience in an in-house, agency, or high-growth environment. Experience recruiting in defense technology, aerospace, robotics, autonomy, software, hardware, or another technically complex industry strongly preferred. Demonstrated ability to recruit across both highly technical and business-focused disciplines. Proven ability to manage multiple searches simultaneously while adapting quickly to changing priorities. Strong direct sourcing capabilities and confidence engaging passive candidates in competitive talent markets. Experience partnering with senior hiring managers and executives on difficult or high-priority searches. Strong candidate assessment, relationship management, negotiation, and closing skills. Excellent written and verbal communication skills. Highly organized with the ability to maintain urgency without sacrificing candidate experience or hiring quality. Comfortable operating in ambiguity, making decisions with incomplete information, and solving problems without waiting for extensive direction. Strong sense of ownership and a bias toward action. Experience with modern applicant tracking systems; Ashby experience preferred. Ability to thrive in a fast-paced, high-growth environment where priorities can change quickly and the recruiting team is expected to keep pace with the business. U.S. Citizenship required; eligibility to obtain a security clearance preferred. What Success Looks Like You move quickly without lowering the bar. You build strong relationships with hiring managers, understand what great talent looks like, and consistently create momentum across your searches. When priorities change, you adapt quickly. When a process is broken, you improve it. When a difficult role needs to be filled, you take ownership and find a way forward. At HavocAI, recruiting is a critical part of how we scale the mission, and this role will have a direct impact on the people and capabilities we build next. Benefits 100% Employer paid Health, Dental and Vision Insurance for you and your families Life Insurance (Employer Paid) Ability to participate in the companies 401k program (Matching) Unlimited PTO policy with an enforced 2 week minimum Equity Package Work / Home Office Stipend Global Entry 16 Week Paid Parental Leave Monthly Health and Wellness Stipend Our Values Innovation: We are driven to break new ground. Every day presents an opportunity to challenge the status quo, think boldly, and deliver advanced solutions that transform the future of defense technology. Integrity: We hold ourselves to the highest ethical standards, ensuring transparency, accountability, and trust in all our actions and partnerships. Mission-Driven: We are focused on achieving impactful outcomes that align with our core mission—protecting lives through innovation. Forward-Leaning: We continuously seek out new opportunities and remain at the forefront of technological advancements. We embrace change and anticipate the challenges of tomorrow with confidence and creativity. Ownership of All Tasks: At HavocAI, no problem is too complex or too trivial. We believe that greatness comes from tackling the hardest challenges, but also in handling the smallest, sometimes thankless, tasks with the same level of commitment and care. Servant Leadership: We lead by serving others, whether it’s supporting our employees, partners, or the broader community. Empowering those around us is key to achieving long-term success and making a lasting impact. HavocAI is an Equal Opportunity Employer and is committed to creating an inclusive and diverse workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, sexual orientation, age, national origin, disability, veteran status, or any other legally protected status. Show more Show less", "job_title": "Recruiter", "timestamp": "2026-10-05T04:47:37.661Z"}”

LinkedIn via Bright Data · Supports Job posting · job listing

“{"company_id": "100271170", "company_name": "HavocAI", "company_url": "https://www.linkedin.com/company/havocai?trk=public_jobs_topcard-org-name", "job_employment_type": "Full-time", "job_location": "United States", "job_posted_time": "2 weeks ago", "job_posting_id": "4467244477", "job_seniority_level": "Mid-Senior level", "job_summary": "About Us Havoc is a leader in all-domain collaborative autonomy. Its software-defined hardware approach powers military and commercial-grade autonomous systems across sea, air, and land to sense, decide, and act together in complex and contested environments. Havoc connects assets, enabling them to share information, adapt in real time, and continue operating even when communications are disrupted or denied. Havoc optimizes mission performance and minimizes human risk. Havoc was founded in 2024 and headquartered in Providence, Rhode Island. Learn more at Havoc: All-Domain Collaborative Autonomy . About The Role As a Machine Learning Cloud Infrastructure Engineer, you will build and operate the infrastructure HavocAI teams use to train, evaluate, deploy, and monitor machine learning models safely and reliably. You will develop the pipelines, services, platforms, and integrations connecting data lakes, telemetry stores, simulation environments, training workloads, cloud compute, and deployed models. Your work will enable autonomy, data, and software engineers to move efficiently from raw field and simulation data to reproducible datasets, scalable training, rigorous evaluation, and production deployment. This role is ideal for a strong software, infrastructure, or data engineer with hands-on ML experience who enjoys building production systems at the intersection of data, models, compute, and autonomy. You should be comfortable operating in a fast-paced environment, solving ambiguous infrastructure problems, and building systems that must remain scalable, observable, secure, and reliable. What You’ll Do ML Infrastructure & Pipelines Build pipelines that transform raw multi-modal data—including telemetry, imagery, video, sensor, and simulation data—into curated, versioned training datasets. Develop reproducible training and evaluation workflows that scale across cloud compute and GPU resources. Build and maintain model deployment infrastructure for packaging, serving, inference, versioning, and rollback. Implement experiment tracking, dataset lineage, model versioning, and other capabilities required for reproducible ML development. Own data schema versioning and migration across pipelines, data lakes, and services as datasets and models evolve. Cloud Platform & Infrastructure Design, build, and operate scalable AWS infrastructure using Infrastructure as Code. Build and maintain Kubernetes/EKS workloads and containerized environments for training, batch processing, evaluation, and model serving. Develop self-service tooling and paved paths for compute scheduling, storage, data access, training, and deployment. Improve utilization, scalability, and cost efficiency across cloud and accelerator infrastructure. Build infrastructure that enables engineering teams to launch workloads safely without unnecessary operational overhead. Reliability, Evaluation & Observability Build evaluation frameworks and regression testing for model quality, dataset integrity, and pipeline correctness. Establish quality and reliability signals that help determine whether models are ready for production use. Develop monitoring, logging, tracing, and observability across training jobs, data pipelines, and deployed models. Diagnose and resolve performance, scaling, reliability, and infrastructure bottlenecks. Maintain high standards for automation, testing, documentation, and operational readiness. Cross-Functional Engineering Partner with Autonomy, Software, Data, Simulation, and Security teams to build ML infrastructure spanning edge data capture through cloud training and model deployment. Contribute to CI/CD and release processes for models, datasets, and ML pipelines. Translate engineering requirements into scalable platform capabilities that can support multiple teams and use cases. Incorporate feedback from engineers and users to continuously improve ML development workflows. Security & Data Management Implement secure infrastructure practices, including IAM least privilege, secrets management, access controls, and secure handling of sensitive and defense-related data. Build data and ML workflows with reproducibility, traceability, and appropriate controls from the start. Partner with security and infrastructure teams to ensure ML systems meet applicable operational and compliance requirements. What We’re Looking For 3+ years of experience in software engineering, infrastructure engineering, data engineering, ML infrastructure, or a related field. Strong programming experience in Python, with experience in Go, C++, or another systems-oriented language preferred. Experience building and operating production services, APIs, data pipelines, developer platforms, or infrastructure. Hands-on experience with ML workflows such as dataset preparation, model training, evaluation, or deployment. Experience with cloud infrastructure, preferably AWS, and Infrastructure as Code. Hands-on experience with Kubernetes and containerized environments. Strong understanding of production engineering fundamentals, including reliability, observability, testing, automation, and maintainability. Ability to work effectively across engineering disciplines and solve ambiguous technical problems with a high degree of ownership. U.S. Citizenship and ability to obtain and maintain a U.S. Government security clearance. Nice to Have Experience with MLOps and workflow platforms such as MLflow, Weights & Biases, Kubeflow, Ray, Airflow, or Dagster. Experience with GPU/accelerator scheduling, distributed training, or large-scale ML workloads. Experience working with multi-modal datasets including imagery, video, telemetry, sensor, or simulation data. Experience supporting autonomy, robotics, simulation, or real-time systems. Experience deploying ML models to edge or embedded environments. Experience with AWS GovCloud, GCP Assured Workloads, or compliance-driven environments such as FedRAMP or IL4/IL5. What Success Looks Like Within Your First 12 Months, You Will Have Built reliable and reproducible pipelines that move data from raw capture through curated, versioned training datasets. Enabled training and evaluation workloads to run at scale with clear quality and reliability signals before deployment. Delivered self-service ML infrastructure that reduces friction and accelerates Autonomy, Data, and Software teams. Improved the observability, reliability, security, and cost efficiency of HavocAI’s ML infrastructure. Established scalable foundations that allow ML development and deployment to grow alongside HavocAI’s autonomy capabilities. Benefits 100% Employer paid Health, Dental and Vision Insurance for you and your families Life Insurance (Employer Paid) Ability to participate in the companies 401k program (Matching) Unlimited PTO policy with an enforced 2 week minimum Equity Package Work / Home Office Stipend Global Entry 16 Week Paid Parental Leave Monthly Health and Wellness Stipend Our Values Innovation: We are driven to break new ground. Every day presents an opportunity to challenge the status quo, think boldly, and deliver advanced solutions that transform the future of defense technology. Integrity: We hold ourselves to the highest ethical standards, ensuring transparency, accountability, and trust in all our actions and partnerships. Mission-Driven: We are focused on achieving impactful outcomes that align with our core mission—protecting lives through innovation. Forward-Leaning: We continuously seek out new opportunities and remain at the forefront of technological advancements. We embrace change and anticipate the challenges of tomorrow with confidence and creativity. Ownership of All Tasks: At HavocAI, no problem is too complex or too trivial. We believe that greatness comes from tackling the hardest challenges, but also in handling the smallest, sometimes thankless, tasks with the same level of commitment and care. Servant Leadership: We lead by serving others, whether it’s supporting our employees, partners, or the broader community. Empowering those around us is key to achieving long-term success and making a lasting impact. HavocAI is an Equal Opportunity Employer and is committed to creating an inclusive and diverse workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, sexual orientation, age, national origin, disability, veteran status, or any other legally protected status. Show more Show less", "job_title": "ML Cloud Infrastructure Engineer", "timestamp": "2026-10-05T04:47:38.206Z"}”

LinkedIn via Bright Data · Supports Job posting · job listing

“{"company_id": "100271170", "company_name": "HavocAI", "company_url": "https://www.linkedin.com/company/havocai?trk=public_jobs_topcard-org-name", "job_employment_type": "Full-time", "job_location": "United States", "job_posted_time": "2 weeks ago", "job_posting_id": "4468269423", "job_seniority_level": "Mid-Senior level", "job_summary": "About Us Havoc is a leader in all-domain collaborative autonomy. Its software-defined hardware approach powers military and commercial-grade autonomous systems across sea, air, and land to sense, decide, and act together in complex and contested environments. Havoc connects assets, enabling them to share information, adapt in real time, and continue operating even when communications are disrupted or denied. Havoc optimizes mission performance and minimizes human risk. Havoc was founded in 2024 and headquartered in Providence, Rhode Island. Learn more at Havoc: All-Domain Collaborative Autonomy . About The Role As a Data & ML Infrastructure Engineer, you will build the data infrastructure that enables HavocAI to develop, evaluate, and continuously improve autonomous systems. You will own the pipelines and tooling that transform large volumes of video, imagery, telemetry, sensor data, autonomy logs, and mission data into organized, searchable, and reproducible datasets. Your work will provide Autonomy and Perception engineers with the high-quality data they need to train models, evaluate system performance, reproduce failures, and improve deployed capabilities. A major focus of this role will be HavocAI’s internal video and telemetry data lake, including ingestion, storage, indexing, metadata, curation, quality, labeling, and dataset generation. This is a hands-on engineering role for someone who enjoys building scalable infrastructure and turning messy real-world data into reliable engineering tools and ML-ready datasets. What You’ll Do Data Infrastructure & Pipelines Build and maintain infrastructure for video, imagery, telemetry, sensor data, autonomy logs, mission data, and field-test data. Own data ingestion, storage, indexing, metadata, access patterns, and lifecycle management within HavocAI’s data lake. Develop scalable pipelines that transform raw operational data into curated datasets for ML training, evaluation, debugging, and analysis. Build tools for searching, filtering, tagging, and retrieving data across platforms, missions, operating conditions, and events. Design infrastructure capable of handling large volumes of multimodal operational data efficiently and reliably. Dataset Curation & ML Enablement Build workflows to select, clean, label, validate, and version datasets. Partner with Autonomy, Perception, Software, and Field Operations teams to identify high-value data for model development and system evaluation. Support annotation and labeling workflows for video, imagery, tracks, telemetry, and other ML inputs. Develop reproducible dataset-generation workflows for training, validation, regression testing, and benchmarking. Integrate datasets and data infrastructure with model training, experiment tracking, evaluation, and deployment workflows. Support multimodal dataset construction, including synchronization and alignment across sensors and data streams. Data Quality & Reliability Develop automated checks for missing streams, corrupted files, synchronization issues, metadata gaps, labeling errors, and pipeline failures. Establish standards for dataset quality, lineage, versioning, and reproducibility. Build monitoring and observability around critical data pipelines and infrastructure. Troubleshoot complex data and infrastructure issues and drive them through resolution. Use field data, logs, and test results to help engineering teams understand system performance and identify opportunities for improvement. Developer Tools & Collaboration Build self-service tools that make operational data easier for engineers to discover, access, analyze, and use. Partner closely with Autonomy, Perception, Software, Simulation, Field Operations, and Program teams. Translate engineering and ML requirements into scalable data capabilities. Improve workflows for replaying, visualizing, analyzing, and comparing operational data. Maintain clear documentation, data standards, and best practices for internal data use, governance, and security. What We’re Looking For Bachelor’s degree in Computer Science, Data Science, Machine Learning, Electrical Engineering, Computer Engineering, Robotics, Applied Mathematics, or a related technical field. 3+ years of experience in data engineering, ML infrastructure, data platforms, backend systems, MLOps, or related engineering roles. Experience designing and operating production data pipelines for large-scale structured, semi-structured, or unstructured datasets. Experience supporting defense, robotics, autonomy, aerospace, or dual-use technology programs Experience working with video, imagery, time-series telemetry, sensor data, logs, or other high-volume operational data. Strong programming skills in Python and SQL. Experience with cloud storage, object stores, data lakes, databases, distributed processing, or modern data platforms. Familiarity with dataset versioning, metadata management, data lineage, access controls, and reproducible data workflows. Strong software engineering fundamentals, including testing, reliability, maintainability, and observability. Strong debugging skills and comfort working across complex data pipelines and production infrastructure. Ability to operate independently and take ownership in a fast-moving engineering environment. U.S. citizenship and ability to obtain and maintain a U.S. Government security clearance. Nice to Have Experience with ML infrastructure, MLOps, training pipelines, experiment tracking, model evaluation, or model registries. Experience managing video, perception, telemetry, or autonomous-system datasets. Experience with technologies such as S3-compatible storage, PostgreSQL, Spark, Ray, Airflow, Dagster, Kubernetes, Docker, or Kafka. Experience with data catalogs, dataset versioning platforms, feature stores, or labeling tools. Experience building search, replay, visualization, or analysis tools for video, telemetry, logs, or sensor data. Experience supporting annotation workflows for computer vision, perception, tracking, or autonomy. Familiarity with sensor synchronization, timestamp alignment, calibration metadata, log replay, or multimodal dataset construction. Experience with security, access controls, auditability, and data-handling requirements in government or defense environments. Experience supporting defense, robotics, autonomy, aerospace, or dual-use technology programs. Active or prior security clearance. What Success Looks Like Within Your First 12 Months, You Will Have Built reliable pipelines that move operational data from field capture into organized and searchable storage. Made HavocAI’s video, telemetry, and sensor data significantly easier for engineers to discover and use. Established reproducible workflows for creating high-quality datasets for model training, evaluation, and regression testing. Improved data quality, lineage, metadata, and observability across critical pipelines. Enabled Autonomy and Perception teams to move more quickly from field data → insight → dataset → model improvement → deployment. Benefits 100% Employer paid Health, Dental and Vision Insurance for you and your families Life Insurance (Employer Paid) Ability to participate in the companies 401k program (Matching) Unlimited PTO policy with an enforced 2 week minimum Equity Package Work / Home Office Stipend Global Entry 16 Week Paid Parental Leave Monthly Health and Wellness Stipend Our Values Innovation: We are driven to break new ground. Every day presents an opportunity to challenge the status quo, think boldly, and deliver advanced solutions that transform the future of defense technology. Integrity: We hold ourselves to the highest ethical standards, ensuring transparency, accountability, and trust in all our actions and partnerships. Mission-Driven: We are focused on achieving impactful outcomes that align with our core mission—protecting lives through innovation. Forward-Leaning: We continuously seek out new opportunities and remain at the forefront of technological advancements. We embrace change and anticipate the challenges of tomorrow with confidence and creativity. Ownership of All Tasks: At HavocAI, no problem is too complex or too trivial. We believe that greatness comes from tackling the hardest challenges, but also in handling the smallest, sometimes thankless, tasks with the same level of commitment and care. Servant Leadership: We lead by serving others, whether it’s supporting our employees, partners, or the broader community. Empowering those around us is key to achieving long-term success and making a lasting impact. HavocAI is an Equal Opportunity Employer and is committed to creating an inclusive and diverse workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, sexual orientation, age, national origin, disability, veteran status, or any other legally protected status. Show more Show less", "job_title": "Data and ML Infrastructure Engineer", "timestamp": "2026-10-05T04:47:38.738Z"}”

LinkedIn via Bright Data · Supports Job posting · job listing

“{"company_id": "100271170", "company_name": "HavocAI", "company_url": "https://www.linkedin.com/company/havocai?trk=public_jobs_topcard-org-name", "job_employment_type": "Full-time", "job_location": "United States", "job_posted_time": "2 weeks ago", "job_posting_id": "4468270399", "job_seniority_level": "Mid-Senior level", "job_summary": "About Us Havoc is a leader in all-domain collaborative autonomy. Its software-defined hardware approach powers military and commercial-grade autonomous systems across sea, air, and land to sense, decide, and act together in complex and contested environments. Havoc connects assets, enabling them to share information, adapt in real time, and continue operating even when communications are disrupted or denied. Havoc optimizes mission performance and minimizes human risk. Havoc was founded in 2024 and headquartered in Providence, Rhode Island. Learn more at Havoc: All-Domain Collaborative Autonomy . About The Role As the Engineering Manager, Perception & Machine Learning, you will lead the team responsible for developing the perception and machine learning capabilities that enable HavocAI’s autonomous systems to understand and operate within the world around them. This is a people leadership and technical management role for someone with a strong foundation in perception, machine learning, computer vision, sensor fusion, or robotics. You will be responsible for building and developing the team, setting priorities, driving execution, and ensuring perception capabilities move effectively from research and development into reliable, fielded products. You’ll work closely with Autonomy, Embedded, Data, Simulation, Product, Programs, and Field Operations to translate mission and product requirements into clear engineering priorities. You should be comfortable balancing technical decisions, team development, execution, and changing priorities in a fast-moving environment. Key Responsibilities Lead, manage, and develop a team of perception, machine learning, sensor fusion, and software engineers. Own team planning, prioritization, execution, and delivery against the Perception & ML roadmap. Establish clear goals, responsibilities, and expectations for the team and hold engineers accountable for results. Partner with senior technical contributors to guide architecture and technical decisions across computer vision, sensor fusion, tracking, detection, classification, segmentation, and related capabilities. Oversee development and maturation of model training, evaluation, data curation, validation, and deployment workflows. Ensure perception capabilities are designed around real-world performance, reliability, compute constraints, and field readiness. Partner cross-functionally with Autonomy, Embedded, Data, Simulation, Hardware, Product, Programs, and Field Operations. Translate customer, mission, and product requirements into clear engineering priorities and execution plans. Use field data, testing results, and operator feedback to prioritize improvements and address performance gaps. Establish effective engineering practices around design reviews, code reviews, testing, model evaluation, release readiness, and technical documentation. Identify execution risks, dependencies, resource constraints, and technical tradeoffs and communicate them clearly to engineering leadership. Coach and develop engineers through regular feedback, performance management, career development, and mentorship. Recruit, interview, onboard, and retain high-performing engineers as the team grows. Foster a culture of technical excellence, ownership, collaboration, and continuous improvement. Qualifications Bachelor’s degree in Computer Science, Machine Learning, Robotics, Electrical Engineering, Computer Engineering, or a related technical field. 7+ years of relevant engineering experience in perception, machine learning, computer vision, robotics, autonomy, sensor fusion, or related fields. 2+ years of direct people-management experience, ideally managing engineers in a highly technical environment. Strong technical understanding of modern perception systems, including computer vision, sensor fusion, tracking, detection, classification, or ML-based scene understanding. Experience taking ML or perception capabilities from development through testing and deployment in real-world systems. Demonstrated ability to manage engineering priorities, technical roadmaps, dependencies, and delivery across multiple initiatives. Experience hiring, coaching, developing, and evaluating engineering talent. Strong cross-functional leadership skills and experience partnering with software, autonomy, data, hardware, product, and field teams. Ability to make sound decisions across technical performance, schedule, resources, risk, and product requirements. Strong communication skills with the ability to communicate technical issues and tradeoffs to both technical and non-technical stakeholders. High ownership, sound judgment, and comfort operating in fast-moving, ambiguous environments. U.S. citizenship and ability to obtain and maintain a security clearance. Preferred Qualifications Advanced degree in Computer Science, Machine Learning, Robotics, Electrical Engineering, Computer Vision, or a related field. Previous experience managing a Perception, ML, Robotics, or Autonomy engineering team. Experience with robotics, autonomous vehicles, defense technology, aerospace, maritime systems, or other deployed autonomous systems. Experience with multimodal sensor systems including cameras, EO/IR, radar, LiDAR, AIS, GPS/INS, or IMU. Familiarity with PyTorch, TensorRT, ONNX, CUDA, MLflow, Docker, Kubernetes, NVIDIA Jetson, or similar ML and deployment technologies. Experience with simulation, synthetic data, annotation workflows, and large-scale perception datasets. Experience supporting field testing, customer demonstrations, operational evaluations, or deployed robotic systems. Experience supporting government or DoD programs. Active or prior security clearance. Benefits 100% Employer paid Health, Dental and Vision Insurance for you and your families Life Insurance (Employer Paid) Ability to participate in the companies 401k program (Matching) Unlimited PTO policy with an enforced 2 week minimum Equity Package Work / Home Office Stipend Global Entry 16 Week Paid Parental Leave Monthly Health and Wellness Stipend Our Values Innovation: We are driven to break new ground. Every day presents an opportunity to challenge the status quo, think boldly, and deliver advanced solutions that transform the future of defense technology. Integrity: We hold ourselves to the highest ethical standards, ensuring transparency, accountability, and trust in all our actions and partnerships. Mission-Driven: We are focused on achieving impactful outcomes that align with our core mission—protecting lives through innovation. Forward-Leaning: We continuously seek out new opportunities and remain at the forefront of technological advancements. We embrace change and anticipate the challenges of tomorrow with confidence and creativity. Ownership of All Tasks: At HavocAI, no problem is too complex or too trivial. We believe that greatness comes from tackling the hardest challenges, but also in handling the smallest, sometimes thankless, tasks with the same level of commitment and care. Servant Leadership: We lead by serving others, whether it’s supporting our employees, partners, or the broader community. Empowering those around us is key to achieving long-term success and making a lasting impact. HavocAI is an Equal Opportunity Employer and is committed to creating an inclusive and diverse workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, sexual orientation, age, national origin, disability, veteran status, or any other legally protected status. Show more Show less", "job_title": "Engineering Manager, Perception and Machine Learning", "timestamp": "2026-10-05T04:47:38.390Z"}”

LinkedIn via Bright Data · Supports Job posting · job listing

“{"company_id": "100271170", "company_name": "HavocAI", "company_url": "https://www.linkedin.com/company/havocai?trk=public_jobs_topcard-org-name", "job_employment_type": "Full-time", "job_location": "United States", "job_posted_time": "2 weeks ago", "job_posting_id": "4468678905", "job_seniority_level": "Executive", "job_summary": "About Us Havoc is a leader in all-domain collaborative autonomy. Its software-defined hardware approach powers military and commercial-grade autonomous systems across sea, air, and land to sense, decide, and act together in complex and contested environments. Havoc connects assets, enabling them to share information, adapt in real time, and continue operating even when communications are disrupted or denied. Havoc optimizes mission performance and minimizes human risk. Havoc was founded in 2024 and headquartered in Providence, Rhode Island. Learn more at Havoc: All-Domain Collaborative Autonomy . About The Role HavocAI is seeking a Vice President of Finance to serve as a key leader within the finance organization and strategic partner to the CFO and executive team. The VP of Finance will own financial planning and performance management, help shape the company’s financial strategy, lead critical strategic initiatives, and play a significant role in investor relations. This role will be responsible for ensuring HavocAI has the financial visibility, discipline, systems, and processes required to support continued growth. You will operate at both the strategic and execution levels—developing long-range financial plans and capital strategies while ensuring the organization delivers accurate forecasts, actionable reporting, strong operating plans, and disciplined financial decision-making. This is a highly visible leadership role for someone who combines exceptional financial and analytical capabilities with a hands-on, entrepreneurial approach. You should be comfortable creating structure in ambiguity, moving quickly when priorities change, and building a high-performing finance organization as HavocAI scales. What You’ll Do Financial Planning & Strategy Own HavocAI’s financial planning processes, including annual and quarterly budgeting, long-range planning, cash flow forecasting, and monthly performance reporting. Develop and execute financial strategies that support company objectives, including cash management, liquidity, capital allocation, and investment decisions. Drive financial discipline, visibility, and fact-based decision-making across the organization. Partner with executive leadership to evaluate strategic initiatives, investments, commercial opportunities, and other major business decisions. Develop sophisticated financial models, forecasts, scenarios, and analyses to support company strategy. Identify key financial and operational risks and opportunities and proactively develop recommendations for leadership. Financial Performance & Business Partnership Establish clear reporting around financial performance, operating metrics, and organizational KPIs. Lead monthly and quarterly performance reviews, including analysis of actual results against plan and identification of key drivers and variances. Translate complex financial and operational data into clear, actionable insights for senior leadership. Partner with leaders across the company to establish financial targets, evaluate performance, and improve accountability. Drive dialogue across key stakeholders to establish and continuously evolve company-wide KPIs. Investor Relations & Capital Strategy Serve as a key partner to the CFO on investor relations, with the ability to take increasing ownership of the function. Develop financial analyses, reporting, presentations, and other materials supporting investor communications. Anticipate investor questions regarding financial performance, forecasts, business drivers, and company strategy. Support financing and capital planning activities as the company grows. Manage and develop relationships with external financial partners, including lenders. Finance Systems & Scalability Lead the continued development of scalable finance systems, processes, reporting, and operating rhythms. Drive finance transformation initiatives that improve speed, accuracy, visibility, and decision-making. Identify opportunities to leverage automation and AI within financial analysis, forecasting, reporting, and internal workflows. Partner closely with Accounting and other finance functions to ensure strong connectivity between financial reporting, planning, forecasting, and business decision-making. Team Leadership Lead and develop the Finance team while planning for the continued growth of the function. Build scalable organizational structures, processes, and operating practices as HavocAI grows. Hire, develop, coach, and retain high-performing finance talent. Establish clear expectations and accountability while creating an environment of continuous learning and improvement. Foster a culture of high performance, ownership, accuracy, collaboration, and continuous improvement aligned with HavocAI’s values. What We’re Looking For Bachelor’s degree in Finance, Accounting, Economics, or a related field; MBA or advanced degree preferred. 10+ years of progressive FP&A, corporate finance, or strategic finance experience, including 5+ years of people leadership experience. Demonstrated success leading finance within a high-growth technology or similarly complex organization. Deep expertise in financial planning, forecasting, budgeting, cash flow management, and financial modeling. Strong business and financial acumen with the ability to connect financial performance to underlying operational drivers. Exceptional ability to translate complex financial information into compelling, executive-level insights and recommendations. Demonstrated experience building and developing high-performing finance teams. Strong cross-functional leadership skills and ability to influence senior stakeholders across an organization. Comfort operating in a fast-paced environment with changing priorities, incomplete information, and significant organizational growth. Strong judgment, attention to detail, and commitment to producing accurate, high-quality work. Entrepreneurial, hands-on leadership style with the willingness to move between strategic initiatives and detailed execution. Nice to Have Finance leadership experience within a high-growth startup or technology company. Experience supporting hardware or manufacturing businesses. Experience with inventory management, cost accounting, or supply-chain-related finance. Experience supporting SaaS or software business models. Experience leading or supporting investor relations and capital-raising activities. Experience implementing or scaling FP&A and financial reporting systems. Experience introducing automation or AI into finance workflows. What Success Looks Like You become a trusted strategic partner to the CFO, executive team, and leaders across HavocAI, providing the financial insight and discipline required to make better and faster decisions. You establish scalable planning, forecasting, reporting, and performance-management processes; strengthen financial visibility throughout the company; and build a Finance team capable of supporting HavocAI as it continues to grow. You bring structure to ambiguity without creating unnecessary bureaucracy—maintaining the hands-on, “roll up your sleeves” mentality called for in the original role while raising the quality and sophistication of the finance function. Benefits 100% Employer paid Health, Dental and Vision Insurance for you and your families Life Insurance (Employer Paid) Ability to participate in the companies 401k program (Matching) Unlimited PTO policy with an enforced 2 week minimum Equity Package Work / Home Office Stipend Global Entry 16 Week Paid Parental Leave Monthly Health and Wellness Stipend Our Values Innovation: We are driven to break new ground. Every day presents an opportunity to challenge the status quo, think boldly, and deliver advanced solutions that transform the future of defense technology. Integrity: We hold ourselves to the highest ethical standards, ensuring transparency, accountability, and trust in all our actions and partnerships. Mission-Driven: We are focused on achieving impactful outcomes that align with our core mission—protecting lives through innovation. Forward-Leaning: We continuously seek out new opportunities and remain at the forefront of technological advancements. We embrace change and anticipate the challenges of tomorrow with confidence and creativity. Ownership of All Tasks: At HavocAI, no problem is too complex or too trivial. We believe that greatness comes from tackling the hardest challenges, but also in handling the smallest, sometimes thankless, tasks with the same level of commitment and care. Servant Leadership: We lead by serving others, whether it’s supporting our employees, partners, or the broader community. Empowering those around us is key to achieving long-term success and making a lasting impact. HavocAI is an Equal Opportunity Employer and is committed to creating an inclusive and diverse workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, sexual orientation, age, national origin, disability, veteran status, or any other legally protected status. Show more Show less", "job_title": "VP of Finance", "timestamp": "2026-10-05T04:47:39.067Z"}”