• Lead and manage a team of engineers (MERN / Full Stack / Backend) • Plan, assign, and track project tasks and timelines • Ensure timely delivery of features and product releases • Guide system design and architecture decisions • Review code and maintain coding standards and best practices • Work closely with product managers, designers, and stakeholders • Identify risks, dependencies, and remove blockers • Mentor and support engineers for skill and career growth • Participate in hiring and team building

• Le Head of Engineering dirige l’organisation engineering de CybelAngel (~15-25 ingénieurs, 4–5 équipes). • Responsable de la delivery, du développement des équipes et de la coordination cross-équipes. • Crée les conditions organisationnelles pour que la stratégie produit et technique se concrétise. • Manage directement 4 Engineering Managers et travaille en tandem avec le Staff Engineer (architecture, standards techniques) et le CTPO (vision produit et technologique). • Assure la coordination des projets cross-équipes en partenariat avec le Product Management. • Gère les dépendances entre squads, anticipe les goulots d’étranglement et débloque les situations de conflit ou de blocage.

Description General Motors is a global leader in advanced driver assistance. With Super Cruise hands-free technology in more than 500,000 Super Cruise-equipped vehicles on the road and over 700 million hands-free miles driven, GM is proving that automation can be trusted, intuitive, and helpful. GM has the global reach to bring cutting-edge advances to everyday drivers at unprecedented scale. Join us to help deliver the next generation of safe and delightful personal autonomous vehicle experiences. About the Organization The Evaluation team builds and evolves the evaluation ecosystem that powers the development and scaling of GM's autonomous driving technology. We develop metrics, automated workflows, and analysis approaches that enable data-driven decisions across AV development and verification. Partnering with Autonomy, Simulation, Systems, and Safety teams, we act as system-level integrators and arbiters of end-to-end AV quality. We own large-scale test scenario libraries, continuous evaluation pipelines, and critical risk assessment and release-gating components, treating road testing, data mining, training, and metrics as first-class use cases in a unified analytics framework. By joining this team, you will help shape GM's core evaluation platforms, turn system-level results into clear feedback for engineering and leadership, and help accelerate validated AV deployment at scale. We are looking for an Engineering Manager to lead a team building the software, metrics, and analysis systems used to evaluate autonomous driving performance at scale. This leader will combine strong technical judgment with people leadership, cross-functional influence, and execution rigor to help shape GM's core evaluation platforms and accelerate validated AV deployment. What You'll Do (Responsibilities) - Lead, coach, and grow a team of engineers building autonomy evaluation platforms, metrics, workflows, dashboards, and analysis tooling for simulation and on-road testing. - Set technical direction for systems that introspect autonomous driving software performance across interfaces and across the autonomy stack. - Drive the design and delivery of analysis algorithms that summarize, aggregate, and cluster metrics from simulation and on-road runs. - Guide the team in developing new statistical and machine learning methods to quantify performance and identify behavior patterns across scenes and operational domains. - Oversee evaluation approaches for ML components across perception, prediction, and planning, ensuring methods are explainable, scalable, and useful to development and verification teams. - Ensure the team delivers clear dashboards and interactive reports for trend analysis, drift detection, scenario coverage, and leadership insight. - Partner closely with Autonomy, Simulation, Systems, and Safety teams to define requirements, resolve handoff issues, and align evaluation strategy with product and release needs. - Help the organization leverage emerging AI techniques, including VLMs and LLMs where appropriate, to classify autonomy performance and prioritize validation work with human-in-the-loop review. - Maintain a high technical bar through strong system design, code review, testing, observability, and engineering best practices. - Translate system-level results into clear feedback for engineering and leadership and drive execution against high-priority evaluation outcomes. Leadership Responsibilities - Build a high-performing, inclusive engineering team through hiring, coaching, feedback, and career development. - Create clarity across priorities, roadmaps, and dependencies for a technically complex evaluation domain. - Balance near-term delivery with long-term platform investments in metrics, tooling, and infrastructure. - Raise the quality of team execution through clear ownership, strong design reviews, and healthy operating mechanisms. - Represent the team effectively across partner organizations and influence decisions that affect system-level AV quality. Your Skills & Abilities - 8+ years of relevant experience in robotics, autonomous systems software, data analysis, ML evaluation, or autonomy analytics, including substantial experience leading technical teams and delivering complex software systems. This manager version is adapted from a senior IC profile that calls for 5+ years in these domains. - 3+ years evaluating dynamic systems using numerical and/or ML approaches, including time-series data, state derivatives, dynamics, and interconnected subsystems. - Strong proficiency developing Python in production team environments, including testing, performance, and code review. - Strong hands-on familiarity with Pandas, NumPy, SciPy, and data visualization libraries for large-scale analysis and reporting. - Comfort working with C++ codebases, including reading, debugging, and instrumenting core algorithms. - Demonstrated technical leadership, including driving architectural decisions, influencing cross-team designs, and owning complex services or platforms end-to-end. - Strong cross-functional communication and an ability to convert ambiguous evaluation needs into clear technical plans. - Strong analytical curiosity and a disciplined approach to root-causing anomalous data and system discrepancies. - Bachelor's, Master's, or PhD in Computer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, Data Science, or a related field, or equivalent practical experience. What Will Give You A Competetive Edge - Experience in autonomous driving or field robotics, including interpreting results from simulation and field experiments. - Experience evaluating robotics or AV systems using sensor data such as camera, lidar, and radar, and working with large-scale time-series analysis. - Strong intuition for data visualization and the ability to turn high-dimensional metrics into clear, trustworthy views for technical and non-technical audiences. - Familiarity with statistical modeling, experimental design, and hypothesis testing for autonomy or simulation evaluation. - Proficiency in SQL and experience shaping logging, data schemas, and evaluation pipelines for large-scale autonomy testing and performance monitoring. - Experience with ROS or similar robotics/IPC frameworks, log pipelines, and experiment databases or evaluation platforms. - Prior experience with computational geometry, linear algebra, PyTorch, and ML techniques applied to perception, prediction, planning, or control. - Background contributing to release gating, risk assessment, and safety-related decisions for autonomy systems. - Experience using AI-assisted development and analytics tools to improve engineering productivity and evaluation coverage. Compensation - The salary range for this role is $185,100 and $284,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. - Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits - Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Company Vehicle - Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies." About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Total Rewards | Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Title: Director, Software Engineering Location: Seattle United States Job Description: Company Overview Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people's lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign's Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM). What you'll do Docusign operates global, always-on services. To safeguard customer trust and empower our engineering teams, we are building the next generation of monitoring and troubleshooting capabilities.] You will lead the engineering organization behind our AI-powered observability platform. Built to complement existing tools like Grafana, Prometheus, and Clickhouse/Azure Data Explorer , this platform addresses the challenges of information overload by making observability accessible to everyone. You will manage a multidisciplinary team of backend engineers, machine learning engineers, and data scientists to build predictive, automated insights while running a highly critical service with strict SLAs. This positon is a apeople manager role reporting to the Senior Director, Software Engineering. Responsibility - Manage high-throughput, real-time observability pipelines processing massive volumes of telemetry data across multi-region, multi-cloud environments - Operate a Tier-0 data plane with strict SLOs, disciplined change management, and high availability requirements - Serve as the observability backbone for every engineering team's reliability and velocity, dramatically reducing the time from "something's wrong" to "here's the problem" - Set a clear 12-24 month vision for AIOps capabilities, focusing on automated troubleshooting workflows, proactive anomaly detection, and smart alert aggregation - Bridge the gap between robust backend infrastructure and applied machine learning, ensuring models for auto-threshold estimation and pattern recognition are effectively trained and reliably deployed at scale - Drive availability, durability, incident readiness, and disaster recovery for the observability plane; run regular resilience drills - Lead, hire, and grow a senior-heavy team of backend engineers, ML engineers, and applied scientists. Build an architecture culture, clear career paths, and a high-judgment, high-ownership operating model - Own the annual operating plan for the AIOps platform capacity, availability, and budget, meeting or beating committed SLOs/SLAs - Drive the development of intelligent capabilities like automated impact analysis, ML-driven threshold estimation, and natural language interfaces to reduce alert noise and accelerate debugging - Continually improve ingestion latency, query performance, storage efficiency, and cost per unit while maintaining reliability through traffic spikes and deploys - Partner with SRE, Telemetry Platform, Security, Finance, and Product; make pragmatic build-vs-buy decisions; manage vendors and capacity commitments - Lead on-call and incident command for the observability platform Job Designation Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation) Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law. What you bring Basic - 12+ years in software/infra/platform engineering, including 6+ years operating high-scale, 24x7 back-end systems. - 3+ years managing managers and senior ICs, specifically leading multidisciplinary teams across domains like backend engineering and machine learning. - Proven ownership of mission-critical services with strict SLOs, incident management, and change control. - Experience hiring, developing, and retaining senior/principal talent and building inclusive, high-trust teams. Preferred - Familiarity with modern observability practices (metrics, logs, distributed tracing) and standards such as OpenTelemetry - Experience leading teams that build, train, and deploy machine learning models in production environments for AIOps, anomaly detection, or predictive analytics - Experience improving the performance and reliability of large telemetry/data pipelines at a multi-region scale - Exposure to multi-cloud environments and Kubernetes-based platforms Wage Transparency Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience. Based on applicable legislation, the below details pay ranges in the following locations: Washington, Maryland, New Jersey and New York (including NYC metro area): $202,100.00 - $299,625.00 base salary This role is also eligible for the following: - Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance. - Stock: This role is eligible to receive Restricted Stock Units (RSUs). Global benefits provide options for the following: - Paid Time Off: earned time off, as well as paid company holidays based on region - Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement - Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment - Retirement Plans: select retirement and pension programs with potential for employer contributions - Learning and Development: options for coaching, online courses and education reimbursements - Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events Life at Docusign Working here Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what's right, every day. At Docusign, everything is equal. We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you'll be loved by us, our customers, and the world in which we live. Accommodation Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com. If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance. Applicant and Candidate Privacy Notice States Not Eligible for Employment This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming. Equal Opportunity Employer It's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category. EEO Know Your Rights poster #LI-Hybrid