Lead Senior Technical Solutions Engineering Manager Jobs

Topgolf is looking for a Senior Unity Developer to join our Games team and help lead the next generation of interactive experiences played by millions of Guests across our venues. This role sits at the intersection of game development, real-world sports, connected venues, and large-scale entertainment technology. You will lead the design and architecture of Unity-based games and experiences that run in Topgolf bays, using ball-tracking data, venue systems, real-time scoring, and engaging game mechanics to create fun, social, competitive gameplay. You will lead a small group of engineer’s day to day, partner closely with game designers, artists, UX/UI designers, QA, product owners, and platform engineers, and act as the primary technical voice for the Games team, from roadmap through national rollout. Responsibilities Architect, develop, and optimize Unity games and interactive experiences for Topgolf venues, making key technical decisions for the systems you own. Design gameplay systems, UI, animation, scoring, camera behavior, effects, and game-state logic that other engineers can build on. Lead integration of Unity games with internal Topgolf services, APIs, tracking systems, configuration tools, and venue hardware. Partner with designers and product owners to translate ambiguous game concepts into playable prototypes and production-ready experiences, shaping technical feasibility early. Collaborate with artists and technical artists on asset pipelines, shaders, VFX, animations, and performance-conscious visuals, and set technical standards for quality. Drive down defect rates by improving testability, diagnosing hard-to-reproduce issues, and coaching others on debugging complex venue and platform issues. Write clean, maintainable, well-structured C# code and set the bar in code reviews. Own and improve build, deployment, and development workflows across the Games tea

Senior Data Consultant Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner... What will you be doing? ● Manage projects as well as lead our business growth, the data consulting teams welcome all business and technical background joiners, who would thrive as an expert in a specific field, or truly versatile players. ● In this fast-paced, fast-growing industry, the most important qualities in our eyes are intellectual curiosity, autonomy and dynamism. ● You weild both “business” and “data” knowledge, with experience ideally in a digital marketing consulting firm; You already have a first understanding of digital technologies, and care to develop more in the exciting world of data and digital business What are we looking for? ● You must have previous Management Consultancy, ideally within Strategy Consulting or Data Consulting. ● Graduated from Business school or Engineering, in our eyes' the most important qualities are intellectual curiosity, autonomy, and dynamism. ● We are looking for profiles with the double hat “business” and “data”, with at least 1-2 years of experience, and in the use of BI tools or data analysis. ● You will already understand digital technologies (Tracking, Machine Learning, RTB, Big Data, Platform as a Service,...). Artefact is the place to be: come and build the future of data and marketing! Innovation: We have a passion for creating impacting projects and believe innovation can come from anyone. Action: We make things rather than telling people how to make them.

Role Purpose We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on ex

About the Role We’re seeking an Associate General Counsel to lead commercial legal strategy and execution for OpenAI’s silicon initiatives and the semiconductor ecosystem that supports our AI infrastructure. This is a senior, highly cross-functional role for a lawyer who can advise business and technical leaders across the semiconductor development, manufacturing, and supply lifecycle. The role will partner closely with silicon engineering, infrastructure, strategic sourcing, supply chain, manufacturing, finance, partnerships, IP, policy, regulatory, and trade compliance teams to structure and negotiate strategic arrangements with semiconductor ecosystem partners, technology providers, and critical suppliers. This person will help establish the commercial frameworks needed to protect OpenAI’s technology and support resilient, scalable commercial arrangements. We’re looking for an experienced technology transactions lawyer with meaningful semiconductor industry experience who can translate highly technical and operational issues into practical commercial structures. The ideal candidate combines strong judgment, commercial creativity, and the ability to lead complex, high-value transactions in a fast-moving and complex global ecosystem. This role is based in San Francisco, CA. We use a hybrid work model of 3-days in the office per week and offer relocation assistance to new employees. This role will: Lead commercial legal strategy and risk management for OpenAI’s silicon and related technology initiatives. Advise senior business, engineering, sourcing, and operational stakeholders on strategic relationships, commercial priorities, and complex transactions. Draft, negotiate, and advise on sophisticated development, manufacturing, supply, licensing, services, and strategic partnership agreements. Structure commercial arrangements that support long-term business and operational requirements. Advise on the commercial and operational issues that arise across the developmen

You will lead a small, hands-on engineering team building the secure, scalable Core Analytics Data Access Platform that accelerates Datadog’s Applied AI and analytics capabilities. The team owns the Data Access Platform — a unified interface that lets AI and analytics teams discover and self-serve production-ready datasets while abstracting underlying systems and embedding required legal and compliance guardrails. In this role you’ll own technical direction, contribute to design and code, and partner closely with Applied AI, Product Analytics, and internal platform teams to provide reliable datasets and APIs for model training and analysis. This role balances day-to-day engineering leadership with long-term platform planning. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead a Hands-On Engineering Team: Manage, mentor, and grow a small team of 2–4 data engineers (mix of senior and junior) across Paris and NYC, fostering technical excellence and career development. Own Technical Direction and Delivery: Define architecture, engineering priorities, and the team roadmap for the Data Access Platform, driving implementation of scalable, secure data pipelines and platform services. Contribute to Design and Code: Spend substantial time coding, reviewing, and shipping critical platform components to ensure performance, reliability, and operational excellence. Partner with Internal Stakeholders: Work closely with Applied AI, Internal Product Analytics, product managers, and platform teams to define data contracts, APIs, SLAs, observability, and curated analytical datasets. Ensure Data Security, Governance, and Reliability: Implement access controls, lineage, monitoring, and compliance guardrails to support safe model training and repeatable analytics workflows.

Machine Learning Engineer IV – (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Strong industry experience in Machine Learning, dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on exper

We are looking for a talented engineer to lead evaluation of startup acquisition opportunities in the AI, cloud and security space. You will drive product evaluations, prepare and manage technical architecture discussions with target groups in Product and Engineering and provide roadmap suggestions for M&A and investments for Datadog. You will be a key partner to Datadog’s C-level leadership and highly visible at the most senior levels of Datadog. The role is reporting into the Senior Director of Product Strategy and falls within the Product organization. We are looking for an innovative and strategic thinker who is passionate about the latest tech being developed by startups in the cloud, AI and security space. The ideal candidate enjoys researching and evaluating new technologies, works effectively with cross-functional teams, and communicates opinions concisely to our leadership team. Broad understanding of relevant Cloud Technologies and deep understanding of the full coverage of Datadogs current offerings is necessary. The Corporate Development team is small and values authentic, strong-willed individuals who think creatively and proactively. This role leads technical due diligence from a product and architecture perspective across our acquisition pipeline. You'll scope and stand up proof-of-concept and sandbox environments to stress-test candidate products, then give an honest, unvarnished view of their quality and depth - the kind of assessment that holds up regardless of deal momentum. You'll assess technical architecture, flag the risks and open questions that matter most early, and turn that into a clear post-acquisition integration path. Working closely with engineering, you'll keep the evaluation focused on what's actually decision-relevant, then translate the findings into strategic recommendations for leadership and help carry the integration through by partnering with the right people on the other side. What You’l

We are looking for a talented engineer to lead evaluation of startup acquisition opportunities in the AI, cloud and security space. You will drive product evaluations, prepare and manage technical architecture discussions with target groups in Product and Engineering and provide roadmap suggestions for M&A and investments for Datadog. You will be a key partner to Datadog’s C-level leadership and highly visible at the most senior levels of Datadog. The role is reporting into the Senior Director of Product Strategy and falls within the Product organization. We are looking for an innovative and strategic thinker who is passionate about the latest tech being developed by startups in the cloud, AI and security space. The ideal candidate enjoys researching and evaluating new technologies, works effectively with cross-functional teams, and communicates opinions concisely to our leadership team. Broad understanding of relevant Cloud Technologies and deep understanding of the full coverage of Datadogs current offerings is necessary. The Corporate Development team is small and values authentic, strong-willed individuals who think creatively and proactively. This role leads technical due diligence from a product and architecture perspective across our acquisition pipeline. You'll scope and stand up proof-of-concept and sandbox environments to stress-test candidate products, then give an honest, unvarnished view of their quality and depth - the kind of assessment that holds up regardless of deal momentum. You'll assess technical architecture, flag the risks and open questions that matter most early, and turn that into a clear post-acquisition integration path. Working closely with engineering, you'll keep the evaluation focused on what's actually decision-relevant, then translate the findings into strategic recommendations for leadership and help carry the integration through by partnering with the right people on the other side. What You’l

As a Regional Manager, Security Sales Engineering, you will lead a team of Specialist Sales Engineers, driving technical execution, operational excellence, and team development across your region. This is an opportunity to be one of the first leaders of this specialist group, and have an outsized impact on the way we pitch and evaluate our Security products. You’ll act as a force multiplier by owning team performance, shaping execution standards, and partnering closely with Sales leadership to influence strategy, improve outcomes, and scale impact beyond individual deals. What You’ll Do: Lead, coach, and develop a team of Specialist Sales Engineers focused on Security, driving performance, engagement, and long-term career growth through regular feedback and structured development Partner confidently with senior Sales leadership on regional strategy, multi-quarter planning, annual capacity planning, and forecast alignment operating 2-3 quarters ahead to anticipate resourcing needs and business priorities Own in-field execution at a regional level by taking an executive presence role in strategic and high-impact opportunities and providing senior-level stakeholder alignment and technical credibility alongside your team Oversee consistent, high-quality delivery across technical sales cycles in the region, including evaluations, customer engagements, and deal progression Hire and onboard top talent across ICs and manager-level roles, building a high-performing team and accelerating ramp through structured onboarding and enablement Manage regional operations including resource allocation, utilization, KPI tracking, productivity, and skills development to ensure effective coverage across the territory Collaborate cross-functionally with Sales, Product, Marketing, Enablement, and Support at a senior level to align on regional strategy, GTM execution, and customer experience Drive operational excellence across the region by improving processes, maintaining data qualit

About the role We’re looking for an engineering manager to lead a team building software systems that detect and prevent harmful misuse of frontier AI models—before incidents occur. This is a builder’s role: you’ll lead engineers shipping production services, detection pipelines, and mitigation mechanisms that protect frontier model integrity and reduce high-severity misuse risk. While this work intersects with frontier model development, security and risk, we’re explicitly seeking someone with a software engineering foundation who is comfortable building reliable systems that can operate at billions of users scale. In this role you will: Lead a team of software engineers building detection + mitigation systems for frontier model misuse, with an emphasis on model IP protection / distillation detection and emerging risk surfaces from autonomous agents. Set the technical roadmap and execution strategy: prioritize, design, ship, iterate, measure impact. Build production systems: services, pipelines, tooling, instrumentation, and automation that scale with frontier model usage. Partner deeply with Research and Product to translate evolving model capabilities into concrete tests, signals, and mitigations that can be deployed at scale. Drive strong engineering fundamentals: architecture, reliability, monitoring, performance, and operational excellence. Hire and grow an exceptional team across backend, data systems, and applied ML engineering domains as needed. Anticipate what breaks at scale as agentic workflows become more capable. You might thrive in this role if you: Experience building systems in adversarial, fast-evolving environments Are comfortable with ambiguity and novelty Have experience adjacent to security (e.g., abuse prevention, fraud, integrity, platform defense, auth/identity, malware/spam, adversarial environments) Communicate clearly and build trust quickly with senior stakeholders—pragmatic, collaborative, and calm under scrutiny. Significant experience

Director of Engineering, Physical AI Role Overview The Director of Engineering will report to the General Manager of Physical AI, and will be responsible for leading a multi-disciplinary engineering organization. In this senior leadership role, you will own the execution of the Physical AI Data Engine — the platform powering the next generation of Physical AI/Embodied AI. You will collaborate closely with Operations and GTM to guide product direction and help solve the data bottleneck that stands between today's robotics research and real-world deployment. This role requires significant ownership in a fast-paced environment and you will motivate internal teams to set the pace for business growth. Travel will come into play. Key Responsibilities: Set and drive the technical vision across data collection infrastructure, teleoperation systems, ML training pipelines, model evaluation frameworks, annotation tooling, and research Lead a multidisciplinary engineering organization—spanning engineering managers, software engineers, ML engineers, and ML research scientists—while designing the organizational structure, talent strategy, and culture required to scale rapidly without compromising on quality or strategic alignment Maintain exceptional technical and operational excellence by deeply understanding team deliverables, asking incisive questions, identifying slipping standards early, and knowing precisely when to step in Drive cross-functional alignment across Engineering, Operations, and GTM on platform architecture, release processes, and shared priorities Collaborate with researchers and clients to architect and deliver scalable, production-grade data infrastructure tailored for complex robotics workloads Required Qualifications: Bachelor's degree in Engineering, Robotics, Computer Science, or a related technical field 8+ years of engineering experience in fast-paced environments, including 4+ years direct people management demonstrated history of recruiting, mentorin

Developers don’t want more marketing. They want relevance, technical depth, and experiences worth showing up for. As Field Marketing Manager you will help bring Coder’s regional marketing programs to life. You will execute field and ABM programs that build awareness, support sales, and create pipeline across the North American market. You will work closely with a Senior Marketing Manager, sales, partners, and the broader marketing team. You will coordinate events, activate campaigns, and keep programs moving on time and on brand. What you’ll do here Execute regional field marketing plans aligned to global strategy and North America priorities. Run virtual and in-person events that people actually remember, from platform engineering roundtables to developer meetups to enterprise field programs. Support lead generation and pipeline goals through strategic programs, clear handoffs, and timely follow-through. Partner with global marketing teams to localize campaign content and messaging for North American audiences. Help execute co-branded campaigns and joint event opportunities with strategic alliances, resellers, and channel partners. Partner closely with sales on ABM plays for high-priority accounts, helping turn target account lists into real conversations and pipeline. Coordinate account-specific assets, communications, and campaign touchpoints that support sales outreach and pipeline creation. Support pre-event ABM motions, including target account coordination, personalized outreach support, and follow-up planning. Keep projects organized, timelines moving, and chaos to a minimum across regional campaigns and events. What we’re looking for 4–7 years of field marketing experience, preferably in B2B technology or developer-focused companies. Hands-on experience executing regional field marketing programs, including events, partner campaigns, and sales-aligned marketing motions. Experience supporting or executing account-based marketing programs, including target ac

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. Replit is seeking a Senior Business Development Manager to lead and scale our outbound sales development team as we expand our go-to-market efforts. This role will oversee a team of BDRs (Business Development Representatives) proactively targeting and engaging high-potential accounts to build a robust pipeline for our Account Executives. The ideal candidate will have hands-on outbound prospecting experience and proven leadership skills, a strong understanding of the modern GTM technology, previous experience in creating systems and orchestrating technology to support an efficient & scalable 0->1 outbound workflow, and previous experience collaborating tightly with marketing and sales ops to build highly-targeted account lists and multi-channel outreach sequences. Experience & interest in vibe coding and/or technical experience is highly valued. This position is critical to our go-to-market strategy, responsible for defining our outbound playbook, identifying key target personas , hiring top-tier talent, coaching team members, and ensuring persistent, high-quality outreach & pipeline generation across all segments from SMB to Enterprise. You'll establish the foundation for scalable revenue growth while architecting a personalized first-touch experience that sets the tone for their Replit journey. We believe this role offers a distinctive opportunity for proven sales development professionals who excel in both strategic account targeting and team leadership, with a passion for technology and AI. You'll leverage your expertise to build a world-class BDR organization that effectively cuts through the noise to communicate Replit's value proposition: a world where anyone can create software using natural langu

As a Regional Manager, Sales Engineering, you will lead a team of Sales Engineers and frontline leaders, driving technical execution, operational excellence, and team development across your region. You’ll act as a force multiplier by owning team performance, shaping execution standards, and partnering closely with Sales leadership to influence strategy, improve outcomes, and scale impact beyond individual deals. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead, coach, and develop a team of Sales Engineers, driving performance, engagement, and long-term career growth through regular feedback and structured development Partner confidently with senior Sales leadership on regional strategy, multi-quarter planning, annual capacity planning, and forecast alignment operating 2-3 quarters ahead to anticipate resourcing needs and business priorities Own in-field execution at a regional level by taking an executive presence role in strategic and high-impact opportunities and providing senior-level stakeholder alignment and technical credibility alongside your team Oversee consistent, high-quality delivery across technical sales cycles in the region, including evaluations, customer engagements, and deal progression Hire and onboard top talent across ICs and manager-level roles, building a high-performing team and accelerating ramp through structured onboarding and enablement Manage regional operations including resource allocation, utilization, KPI tracking, productivity, and skills development to ensure effective coverage across the territory Collaborate cross-functionally with Sales, Product, Marketing, Enablement, and Support at a senior level to align on regional strategy, GTM execution, and customer experience Drive operational excellence across the

About the Team The Privacy Engineering team builds the systems and technical foundations that govern how user data is understood, retained, accessed, and used across OpenAI. We partner with Product, Data, Infrastructure, Security, and Legal to translate policy and trust commitments into durable architecture and enforceable controls. Our work spans data inventory and mapping, classification and lineage, retention and deletion, access governance, purpose and usage controls, auditability, and lifecycle automation. We aim to make policy-aligned data handling the default while giving teams clear, reliable primitives for building and operating products at scale. About the Role We are looking for an experienced Software Engineer to drive the architecture and execution of user data governance across OpenAI. You will define technical direction, build shared platforms and controls, and lead cross-functional programs that make data flows discoverable, policies enforceable, and ownership explicit. This role is well suited to a senior engineer who can move between deep systems design and organization-wide influence, turn ambiguous requirements into pragmatic roadmaps, and operate high-trust systems end to end. This position is based in San Francisco. Relocation assistance is available. In this role, you will: Set the technical strategy and architecture for user data governance across data mapping, classification, lineage, retention, deletion, access, and permitted usage. Design and build shared services, APIs, metadata systems, and policy-enforcement mechanisms that make governance controls consistent, scalable, and auditable. Establish reliable inventories of user data, system ownership, data flows, and policy applicability across products, infrastructure, analytics, and research systems. Partner with Product, Data, Infrastructure, Security, and Legal leaders to define decision rights, translate requirements into controls, and drive adoption across teams. Own governance systems