Engineering Manager

• Work with your team to help understand requirements, evaluate new features, and help build technology roadmaps
• Build a new team by recruiting talent from diverse backgrounds and perspectives
• Build partnerships with technical leads and important individuals within other functional organizations, to implement compelling solutions
• Build an inclusive culture, mentor team members, and provide your team with the tools to reach their goals
• Foster a culture of innovation, continuous improvement, and excellence
• Keep up-to-date with the latest AI trends and apply this expertise to improve team performance and product quality
• Create tactical execution plans and ensure adherence to budgets, schedules, and performance expectations
• Educate leaders at Autodesk on best uses and practices of AI
• Create processes that make gathering and processing large batches of geometry, physics, and design workflow data more automated and frictionless

Machine Learning Engineering Manager

• Manage and develop multiple teams of engineers across a wide seniority range, supporting their growth, performance, and career direction.
• Lead blended teams of contractors and full-time staff, keeping each group focused, healthy, and productive.
• Lead the teams through change — including driving AI tool adoption and challenging engineers to adapt how they work.
• Set and defend direction on technical debt and platform investment, balancing long-term health against delivery pressure.
• Act as a sounding board for tech leads — pressure-test their thinking and challenge over-engineering or over-thinking before it costs the teams time.
• Partner with Product Owners and tech leads to keep delivery aligned, realistic, and well-prioritized.
• Manage stakeholder relationships, communicating team capacity, progress, and trade-offs clearly.
• Recruit and retain strong engineers, and build teams people want to work on.

• Support engineering execution on-site from test plan through steady-state operation
• Translate P&IDs, process designs, and engineering packages into installed, commissioned systems in the field
• Manage day-to-day technical activities on-site: contractor coordination, punch lists, field modifications, and issue resolution
• Monitor system performance against design intent and flag technical issues clearly and quickly
• Serve as Mantel's day-to-day engineering point of contact with the host site and its technical teams
• Coordinate with EPC contractors, equipment vendors, and host-site operations staff
• Maintain accurate site records: as-builts, field change notices, commissioning logs, and performance data
• Support data collection and system monitoring for technical validation of the demonstration

Site Engineering Manager

• Lead, mentor, and develop engineering teams across backend, frontend, integration, database, cloud, DevOps, and automation domains.
• Own people management responsibilities, including performance feedback, coaching, career development, capacity planning, and team engagement.
• Build a high-accountability engineering culture focused on ownership, quality, collaboration, and continuous improvement.
• Champion AI-assisted engineering practices across software development, testing, documentation, prototyping, debugging, code review, and delivery execution.
• Own engineering delivery commitments across assigned projects, clients, delivery squads, or pods.
• Contribute directly to solution architecture, technical design, and implementation planning.
• Design, develop, and maintain scalable, secure, and high-performance applications using C#.NET, Angular, React, and Python.

Senior Engineering Manager

• Leadership: You have the ability to guide a team by example. As a leader on our development team, you are able to instill the values of kindness, diversity, quality and ownership in the people around you and provide feedback on how to improve as a team.
• Teamwork: Many of the problems we encounter require insight from many parts of the business. Your ability to coordinate and communicate with your peers is essential to our success.
• Architecture: You have a strong understanding of the building blocks of a robust and scalable system. You are able to dissect business problems into well designed systems. You have the experience to know what to build and the discipline to know what not to.
• CS Fundamentals: You have an understanding of algorithms, data structures, design patterns and data storage technologies. You are able to select the right tool for the right job.
• Delivery Focused: Code on a laptop doesn’t solve problems. You know that a project is only done once it's delivered and validated. Residential construction is a large problem to tackle. You are inspired to complete a project because you know that 5 more problems are waiting to be tackled, and you do it all without sacrificing quality.
• Passion: Hard problems are not solved overnight. It takes a special kind of attitude and hunger to disrupt an entrenched industry. Your passion is what you share with every teammate at Joist. Passion for technology, passion for working as a team, passion for change, and passion for building an industry revolutionizing product.

• Serve as Technical Lead Manager overseeing greenfield projects
• Set technical strategy and engineering best practices
• Collaborate closely with business stakeholders
• Own team deliverables and objectives
• Hire, build, and manage team performance
• Reimagine and implement data for the music industry

Software Engineering Manager – Automated Marketing

• Lead the development and implementation of best practices, first-of-kind builds, and pilot production processes
• Ensure operational readiness, compliance with regulatory and quality requirements, and successful validation of new products
• Drive continuous improvement initiatives using Lean, Six Sigma, and industry benchmarks
• Collaborate with engineering, supply chain, and production teams to ensure readiness for new products or processes

Manufacturing Engineering Manager

• Drive operational excellence
• Guide technical execution
• Coach and grow engineers on the team
• Foster a culture of experimentation
• Lead with context and collaboration
• Nurture a high-performing, distributed team
• Drive thoughtful AI-assisted development practices

Engineering Manager, AI Engineering

• Lead, coach, and develop a diverse team of engineers, fostering psychological safety, engagement, and continuous learning.
• Partner closely with Product Owners, Architects, and Engineers to identify problems and deliver valuable, user‑focused solutions.
• Guide the delivery of new products, enhancements, and technology upgrades using scalable and maintainable designs.
• Ensure the reliability, performance, and security of critical applications.
• Translate complex program requirements into clear, actionable technical direction.

• Own team deliverables and objectives
• Set technical strategy and engineering best practices in collaboration with senior engineers
• Provide active career development and technical guidance to engineers
• Hire, build your team, and manage performance
• Collaborate closely with business stakeholders to ensure successful project management
• Build, drive and uplift a dynamic and highly effective engineering team
• Own the creation and delivery of innovative products

Software Engineering Manager – Global Licensing

• Lead the architecture, development, and rollout of the Hotels CFAR platform — including offer/pricing/order/exercise APIs, the merchandising and UI SDK layer, synthetic rate bundling, and the exercise/payout infrastructure
• Own partner integrations end-to-end: scope technical solutions, lead solutioning calls, design integration patterns, and partner with sales and Solutions to move partners from Discovery → Solutioning → Development → Live
• Drive the foundation work that lets us scale: partner management portal, configuration tooling, self-serve onboarding — the infrastructure that decouples partner growth from engineering headcount
• Be the senior technical voice in partner conversations — translate between partner engineering teams, our APIs, and our product strategy; own SLAs, performance, and partner-specific requirements
• Partner with Product, Risk/Pricing, Ops, and GTM to align engineering output to business outcomes: attach rate, contribution profit, partner launch velocity, and loss ratio
• Foster technical excellence — architecture reviews, mentorship, raising the bar on the senior ICs and tech leads on the team

Engineering Manager – Fintech

• Drive initiatives to deliver value to our users ensuring the software your team delivers is high quality, highly available, monitored, and maintainable.
• Help the team navigate trade-offs and drive alignment in a fast-paced field; balancing quick delivery with thoughtful, long-term approaches across a portfolio of user experiences in the browser.
• Communicate your team’s goals, the scope and risks of your projects, and own the delivery of initiatives on clear timelines.
• Identify, build and iterate on engineering processes that support a high performing team.
• Engage regularly 1-1 with your team to discuss both technical work and professional development; provide direct and honest feedback about their individual performances
• Ensure developers are properly supported and empowered throughout the developer lifecycle.
• Create an inclusive environment which engages and challenges your team members.
• Work collaboratively with many teams including Product, UX, QA, Operations, and Data Science.

Front End Engineering Manager

• Lead and support a multidisciplinary delivery team (typically 8–12 people) by setting direction, providing feedback, and fostering accountability.
• Plan and oversee delivery execution, ensuring that the team has clear objectives, realistic timelines, and effective prioritization of work.
• Collaborate closely with Product Management and Architecture to align on vision, define scope, and ensure solutions meet both functional and technical expectations.
• Identify and remove delivery blockers, optimizing the team’s workflow, tools, and processes to enable consistent execution.
• Coach team members on problem-solving, communication, and professional growth, while cultivating a healthy, high-performing team culture.
• Maintain visibility on quality and performance metrics, ensuring continuous improvement in delivery velocity, product quality, and predictability.
• Bring a point of view: act as a thought partner to Product and Architecture, balancing technical feasibility, customer value and business impact.

Software Development Manager

• Own the architectural design and technical roadmap end-to-end across the product and our cloud-based infrastructure, partnering closely with the CEO to translate business and product priorities into clear technical direction while ensuring scalability, reliability, and cost efficiency.
• Lead and grow a small, senior team of engineers working across graphics (WebGL, WebGPU, OpenGL ES), Android/Linux internals, browser engines, network programming, WASM, WebRTC, DevOps, and cloud.
• Recruit, hire, and develop a world-class, mission-driven technical team, with a high bar for AI-native working style as a baseline expectation, not a bonus.
• Champion and operationalize an AI-native engineering culture: integrate agentic and AI tooling into design, code, review, testing, debugging, and ops; define the patterns, guardrails, and quality bars that let the team move at AI-accelerated velocity without losing rigor.
• Provide hands-on technical guidance to senior ICs, going deep with the team when problems warrant it.
• Facilitate collaboration and information sharing across a hybrid team, with a strong bias toward written, asynchronous, AI-leveraged workflows.
• Promote a culture of first-principles problem-solving where engineers understand every layer of the systems they touch.
• Own the candidate and employee lifecycle for direct reports: hiring, onboarding, goal-setting, performance management, and career development.

Head of Engineering

• Partnering with your cross-functional stakeholders to understand their challenges, identifying and advocating for pragmatic yet sustainable solutions, crafting a roadmap for your team, and driving those solutions from start to end while coordinating with the impacted parts of the organization;
• Continuously evolving the way your team is leveraging AI and applying it at every step of the project and development lifecycle
• Working with your team on designing good technical solutions (teaching, coaching, collaborating, and giving feedback to produce good architecture documents, plans, and code)
• Actively participating as a contributor to projects and the system (requirements, design, implementation, review)
• Crafting effective 1:1s with your direct reports to make sure they are supported in their career growth and development goals;
• Growing and strengthening Clio’s engineering team by actively participating in interviewing and hiring

Software Development Manager, Monetization

• Lead and mentor engineering team members through regular 1:1s, feedback, and career development planning, fostering a culture of engineering excellence and continuous learning.
• Review pull requests and provide technical guidance to engineers, ensuring best practices in coding and architecture are followed.
• Remove obstacles and coordinate cross-team dependencies to ensure smooth project execution.
• Collaborate with product leadership on roadmap planning and technical strategy, aligning engineering efforts with business objectives.
• Participate directly in development activities to maintain technical expertise and support the team.
• Manage hiring, performance evaluations, and professional development opportunities to build a high-performing team.
• Drive team delivery and quality while managing capacity and workload across team members.
• Oversee sprint planning, execution, and process improvements to enhance team productivity and efficiency.

Manager, Software Development

• Drive the Deep Learning Evolution: Lead the architectural transition from legacy tree-based models (XGBoost) to advanced Neural Network architectures (Deep Learning) for audience propensity, lookalike modeling, and real-time segmentation.
• Own Value-Based Bidding (ROAS): Evolve our bidding strategy from simple conversion prediction to sophisticated ROAS-based optimization, developing models that predict user value (LTV) to maximize client returns within dynamic auction environments.
• Champion Agentic AI & Automation: Spearhead the exploration and adoption of autonomous agentic workflows to enhance decisioning and operational efficiency, moving beyond static models to self-correcting systems.
• Build Production Deep Learning Systems: Oversee the end-to-end engineering of high-scale inference pipelines, including embedding layers, real-time feature stores, and low-latency serving infrastructure such as ONNX, TensorRT etc.
• Advance MLOps & Experimentation: Establish rigorous MLOps practices for model versioning and drift detection while shifting further into multi-armed bandit strategies (Exploration vs. Exploitation) that optimize directly for business outcomes (Revenue/GP) rather than just model metrics.
• Lead and grow the Data Science team: hiring, mentoring, performance management, and career development.
• Partner with Product and Client Success to translate business requirements into ML solutions and communicate model capabilities.
• Coordinate with Data Platform team to ensure reliable data foundations and feature pipelines for modeling.
• Translate complex ML concepts into actionable insights for business stakeholders and executives.
• Set technical direction and foster a culture of innovation, rigor, and continuous improvement.

Engineering Manager, Data Science – AdTech

• Manage a team of 20+ embedded software designers and technical leads distributed across multiple sites to deliver high-quality embedded firmware solutions across a variety of client engagements
• Actively engage with Sales and Business Development to promote team capabilities and support efforts to grow and maintain high team utilization
• Provide pre-sales technical support to the business and sales teams on project scope, schedule, effort estimates, and deliverables
• Collaborate with Resource Management to identify and assign designers for new projects based on customer and project requirements
• Provide project support, manage project escalations, and deliver post-project technical support to customers
• Define, coordinate, and champion software development processes within the team to support on-time, on-budget, and high-quality delivery
• Collaborate with Sales, Technology group, and Partnerships teams to develop roadmaps for developing the team's technical capabilities and initiate internal projects that prepare the team for future client engagements
• Manage performance and career development of the team to foster growth and engagement, enabling Fidus to continue to attract and retain top talent
• Recruit and build a top-calibre team of embedded software designers to ensure high quality designs in providing solutions for our customers
• Develop technical leaders within the team in alignment with organizational growth plans
• Establish training and development plans to grow the team's capabilities aligned with company objectives
• Any other related duties as assigned

Technical Manager, Software

• Lead engineers day to day: clear priorities, coaching, feedback, and performance conversations
• Own execution against the plan of record—balancing scope, capacity, and quality
• Facilitate agile ceremonies (backlog refinement, sprint planning, retros)
• Provide hands-on guidance on implementation, architecture trade-offs, and production discipline
• Champion quality practices: testing, observability, CI/CD, and blameless learning from incidents
• Work closely with Product, Customer Success, and leadership on priorities and escalations
• Oversee MSP-managed internal support: reliable employee experience, escalation handling, and onboarding
• Maintain SOC 2–aligned IT controls with audit-ready evidence

Software Engineering Manager

• Champion an AI-first engineering culture. We want every engineer at AgencyAnalytics to be thinking about how AI can make them more effective, and we need a leader who drives that. That means embedding AI into how we build, how we work, and how we grow. You will identify the opportunities, set the tone, and make it part of how engineering operates day to day.
• Engineering Operations: Own delivery cadences and the systems that help teams stay accountable and productive. Build the processes and metrics that give us visibility into how teams are performing without creating bureaucracy.
• Role Clarity & People Leadership: Create the conditions in which people leaders and technical contributors can each thrive and do their best work, and remove ambiguity.
• Product & Engineering Alignment: Build a strong working relationship with product leadership. Make sure engineering and product are genuinely in sync on priorities, timelines, and trade-offs, not just in theory but in how teams operate day to day.
• Enable high-velocity product delivery. Enable autonomous, high-performing teams through strong Product and Engineering partnership, clear prioritization, and efficient execution.
• Incident Management & Reliability: Own the processes for preventing and responding to outages. Drive a culture of blameless post-mortems and continuous improvement so we get more reliable over time.
• Keep Tech Debt in Check: Manage the balance between shipping and codebase health. Build the process for identifying, prioritizing, and chipping away at tech debt and bugs before they become problems.

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Machine Learning Engineering Manager

Engineering Manager

Site Engineering Manager

Senior Engineering Manager

Engineering Manager

Software Engineering Manager – Automated Marketing

Manufacturing Engineering Manager

Engineering Manager, AI Engineering

Engineering Manager

Software Engineering Manager – Global Licensing

Engineering Manager – Fintech

Front End Engineering Manager

Software Development Manager

Head of Engineering

Software Development Manager, Monetization

Manager, Software Development

Engineering Manager, Data Science – AdTech

Technical Manager, Software

Software Engineering Manager

Head of Engineering