Director, Sales Engineering

Parallel Domain is hiring a Director of Sales Engineering to lead the technical side of our enterprise sales process.

This is a hands-on, individual-contributor leadership role for someone who can earn credibility with highly technical buyers, uncover how customers develop and validate autonomous systems, and design evaluations that demonstrate measurable product value.

You will partner closely with our OEM Enterprise Sales Director and Enterprise Sales Director across the full customer journey, from initial technical discovery and architecture review through demonstration, proof of concept, production deployment and expansion.

You will work directly with perception engineers, ML engineers, simulation teams, data leaders, autonomy executives and other technical stakeholders. You will be expected to understand their workflows, identify where Parallel Domain fits within their development and validation infrastructure, and translate technical requirements into a clear path forward.

As an early leader in the commercial organization, you will also build the sales engineering foundation Parallel Domain needs to scale. This includes discovery standards, demonstration environments, evaluation frameworks, reusable technical content, competitive positioning and the operating model between Sales, Product and Engineering.

●  Own the technical sales cycle for strategic enterprise and automotive OEM opportunities.

●  Partner with Enterprise Sales Directors to qualify opportunities, shape account strategies and

advance complex deals.

●  Lead technical discovery with customer teams across perception, machine learning, simulation,

autonomy, data infrastructure, validation and engineering.

●  Understand how customers collect and manage sensor data, train and evaluate models, reconstruct

environments, run simulation and validate autonomous-system performance.

●  Translate customer workflows, technical requirements and business objectives into a clear

Parallel Domain solution.

●  Deliver technically credible product demonstrations tailored to specific customer use cases and

architectures.

●  Design and lead proof-of-concept and evaluation engagements with defined use cases, success

criteria, stakeholders, timelines and paths to production.

●  Ensure technical evaluations remain connected to commercial outcomes and expansion

opportunities.

●  Support customers in understanding how Parallel Domain integrates with existing autonomy

stacks, APIs, development environments, data pipelines and CI/CD workflows.

●  Navigate technical objections, architecture concerns, security questions, integration requirements

and competitive alternatives.

●  Partner with Product and Engineering to scope customer requirements without overcommitting or

creating unsustainable one-off solutions.

●  Represent the voice of the customer internally by providing structured feedback on product gaps,

recurring use cases, market needs and competitive dynamics.

●  Build repeatable sales engineering processes, including discovery frameworks, demo assets,

technical qualification standards, POC templates and evaluation scorecards.

●  Develop technical materials that support the sales process, including solution briefs, architecture

diagrams, technical proposals, evaluation plans and responses to customer requirements.

●  Support the transition from technical validation into onboarding, deployment and expansion.

●  Represent Parallel Domain at customer meetings, automotive and autonomy conferences,

technical events and industry forums.

●  Help define the future structure, hiring profile and operating model for the Sales Engineering

function as the company grows.

●  8+ years of professional experience in technical software, infrastructure, machine learning, simulation, autonomy, robotics, developer tools or a related field.

●  5+ years of experience in sales engineering, solutions architecture, customer engineering, technical consulting or another customer-facing technical role.

●  Experience supporting complex enterprise sales cycles involving technical evaluations, proofs of concept, architecture reviews and multiple customer stakeholders.

●  Demonstrated ability to work directly with engineering-oriented buyers and earn credibility through strong technical discovery and communication.

●  Experience with one or more of the following: autonomous systems, AV or ADAS development, robotics, simulation, synthetic data, computer vision, machine learning infrastructure, sensor data, developer platforms or data infrastructure.

●  Working knowledge of machine learning development and validation workflows.

●  Ability to understand and discuss APIs, cloud infrastructure, data pipelines, model evaluation and

software integration patterns.

●  Strong ability to translate technical capabilities into customer value and measurable business

outcomes.

●  Experience defining evaluation success criteria and moving customers from proof of concept to

production adoption.

●  Excellent written and verbal communication skills across engineering, product, executive and

commercial audiences.

●  Strong judgment around when to configure, integrate, escalate, push back or involve Product and

Engineering.

●  Comfort operating in an early-stage environment with ambiguity, limited process and high

ownership.

●  Ability to build repeatable systems while remaining deeply involved in customer execution.

●  Willingness to travel regularly within the United States.

●  Prior experience as a software engineer, ML engineer, simulation engineer, solutions architect or technical product leader.

●  Experience selling into automotive OEMs, Tier 1 suppliers, autonomy companies, robotics businesses, drone companies or other physical AI organizations.

●  Familiarity with camera, lidar, radar or other sensor modalities.

●  Understanding of perception development, model evaluation, scenario generation, closed-loop

testing or software-in-the-loop simulation.

●  Experience with Python, APIs, notebooks, cloud environments or technical prototyping.

●  Experience with production deployments of developer-facing, infrastructure or data products.

●  A record of helping close and expand six- or seven-figure enterprise contracts.

●  Experience building an early sales engineering, solutions or customer engineering function.