Senior Engineering Manager leading Automation and AI Team for General Motors. Driving innovative solutions and managing team capabilities to optimize engineering tools and systems.
About the role
- Lead AI product vision and execution at Datatrac's last-mile solutions. Drive commercialization and strategic partnerships to reshape courier operations with AI.
Responsibilities
- Set and execute the AI product vision for Datatrac.
- Expand AI-enabled order capture (email and phone agents) into a scalable, high-impact product line.
- Identify new AI-driven opportunities across dispatch, operations, customer service, and workflow automation.
- Translate customer pain points into technical product direction.
- Build the commercialization strategy for AI offerings.
- Partner with sales to position and sell AI solutions into the existing customer base and new logos.
- Own pricing, packaging, messaging, and competitive positioning.
- Be customer-facing and hands-on in early deals.
- Identify and execute partnerships across AI infrastructure, telephony, integrations, and ecosystem players.
- Leverage external capabilities to accelerate time to market.
- Collaborate closely with dedicated AI engineers within Datatrac.
- Translate business objectives into clear technical roadmaps.
- Prioritize ruthlessly and ship quickly.
- Use real-world deployment feedback to continuously improve the product.
- Wear multiple hats: product leader, operator, GTM driver, strategist.
- Travel on-site to customers to observe workflows and accelerate adoption.
- Move fast, test fast, iterate fast.
Requirements
- A strong hands-on technical background (engineering or equivalent deep technical experience).
- Demonstrated ability to ship AI-enabled products.
- Commercial instincts and real business acumen.
- Experience taking products from early-stage to scaled revenue.
- Comfort working directly with customers and sales teams.
- Exceptional communication and teamwork skills.
- Hustle, grit, and ownership mentality.
- Reviewing system architecture,
- Pitching a strategic customer,
- Designing a pricing model,
- And spending two days onsite understanding a courier’s operational bottlenecks.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Deployment Manager overseeing customer experience operations for AI agents. Managing complex deployments from kick - off to automation performance across multiple stakeholders.
AI Product Builder at Abnormal Security developing internal AI - powered solutions for operational efficiency. Owning AI transformation strategy and collaborating with executive leadership to drive impact.
Data & Trust Manager driving TELUS’ initiatives for responsible data use and ethical AI implementation. Collaborating across teams to ensure adherence to privacy and data governance standards.
Language Alignment & Resource Partner providing native Arabic language QA for AI data project. Reviewing outputs for accuracy and cultural appropriateness while developing resources.
AI Trainer providing native - level Estonian language vetting and QA for specialized AI project. Evaluate, annotate, and validate data to ensure high - quality human - like communication.
Technical Mentor with expertise in AI mentoring learners through interactive sessions at Udacity. Supporting global learners in understanding advanced AI topics and applications.
Sales Specialist leading Data Center and Routing networking solutions for large enterprise accounts at Hewlett Packard Enterprise. Developing long - term sales pipelines and maintaining executive relationships.
AI Analyst designing and implementing innovative AI solutions for SubroIQ. Responsible for developing AI/ML solutions and collaborating across teams for operational goals.
Sales Specialist focusing on Data Center and Routing network sales for large enterprises. Collaborating with account managers to drive new opportunities and enhance existing relationships at HPE.