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Director Partner Engineering Jobs in Bothell, WA

Director, Software Engineering

Seattle, WA · On-site

$287K/yr

This positon is a apeople manager role reporting to the Senior Director, Software Engineering ... Partner with SRE, Telemetry Platform, Security, Finance, and Product; make pragmatic build-vs-buy ...

Director, Software Engineering

Seattle, WA · Hybrid

$287K/yr

This positon is a apeople manager role reporting to the Senior Director, Software Engineering ... Partner with SRE, Telemetry Platform, Security, Finance, and Product; make pragmatic build-vs-buy ...

Director, AI, Analytics & Engineering Location: United States (3 days in the Everett office) Role ... The leader serves as a primary partner to product and engineering organizations to promote AI reuse ...

New

Position Summary The Director, HR Business Partner (HRBP) for IT, Technology, and Infrastructure ... Experience supporting engineering, product, or infrastructure organizations (Agile, DevOps, SRE ...

Position Summary The Director, HR Business Partner (HRBP) for IT, Technology, and Infrastructure ... Experience supporting engineering, product, or infrastructure organizations (Agile, DevOps, SRE ...

We are seeking a Network Engineering Director to lead a team responsible for the engineering and ... You will partner across architecture, operations, software engineering, security, capacity planning ...

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Showing results 1-20

Director Partner Engineering information

See Bothell, WA salary details

$81.6K

$217.7K

$283.9K

How much do director partner engineering jobs pay per year?

As of Jul 10, 2026, the average yearly pay for director partner engineering in Bothell, WA is $217,663.00, according to ZipRecruiter salary data. Most workers in this role earn between $158,200.00 and $282,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Director of Partner Engineering, and why are they important?

To excel as a Director of Partner Engineering, you need deep technical expertise in software development, systems integration, and a proven history of leading engineering teams, often supported by a degree in computer science or engineering. Mastery of APIs, cloud platforms, and partner management tools, as well as familiarity with project management systems like Jira, is typically expected. Exceptional communication, negotiation, and relationship-building skills help you align cross-functional teams and foster strategic partnerships. These capabilities are crucial for successfully driving technical collaboration, ensuring partner satisfaction, and delivering scalable joint solutions.

What does a Director of Partner Engineering do?

A Director of Partner Engineering leads teams that work closely with strategic partners to integrate and optimize technical solutions. They act as a bridge between the company’s engineering teams and external partners, ensuring successful product integrations, co-development projects, and technical collaboration. Their responsibilities often include setting technical strategy, managing partner relationships, overseeing solution architecture, and resolving complex technical challenges. This role requires strong leadership, communication, and technical skills, along with deep industry knowledge.

What is the difference between Director Partner Engineering vs Senior Partner Engineer?

AspectDirector Partner EngineeringSenior Partner Engineer
ResponsibilitiesOversees partner engineering teams, strategic planning, and high-level partner relationshipsProvides technical support, solutions, and collaboration with partners at a senior technical level
Required CredentialsTypically requires extensive engineering experience, leadership skills, and often management or director-level certificationsStrong technical background, engineering degree, and relevant certifications
Work EnvironmentLeadership meetings, strategic planning, cross-team coordinationHands-on technical work, troubleshooting, and direct partner interaction

The main difference is that the Director Partner Engineering focuses on strategic leadership and managing partner engineering teams, while the Senior Partner Engineer is more involved in technical support and direct partner collaboration. The director role emphasizes management and strategy, whereas the senior engineer role emphasizes technical expertise and execution.

How does a Director of Partner Engineering typically collaborate with cross-functional teams and external partners to drive successful integrations?

A Director of Partner Engineering plays a pivotal role in bridging the gap between internal product, engineering, and business development teams and external partners. In this position, you’ll frequently coordinate technical requirements, facilitate joint solution development, and oversee the resolution of integration challenges. Effective communication and project management skills are essential, as you'll ensure that both partner needs and internal objectives are met. Regular meetings, technical workshops, and ongoing support are common, making collaboration a key part of your daily responsibilities.
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Director of Applied AI & ML Engineering

Paradigm

Seattle, WA • On-site

Full-time

Re-posted 25 days ago


Job description

Paradigm is a software company transforming the way that the residential construction & building product industries operate across the globe. We are looking for a Director, Applied AI & ML Engineering to be part of revolutionizing these industries.

The Director, Applied AI & ML Engineering will lead the strategy, architecture, and deployment of intelligent systems that transform how homes are designed, estimated, and built. This role will drive the integration of AI and machine learning across the residential construction lifecycle—from digital plan understanding and takeoffs to automated estimating, material optimization, and design personalization.

The ideal leader blends technical depth with strategic clarity—able to guide teams across computer vision, large language models, and agentic automation while ensuring reliable, scalable delivery within the construction domain.

What You Will Do:

  • Define and lead the Applied AI & ML strategy for residential construction, identifying and prioritizing use cases that enhance speed, accuracy, and efficiency.

  • Build and maintain a roadmap of agentic AI systems that automate key construction workflows—such as plan interpretation, quantity takeoffs, cost estimation, and material specification optimization, while enabling seamless integration with suppliers, ERP platforms, and technology providers.

  • Partner with Product, Engineering, and Operations leaders to embed AI capabilities into core platforms and customer-facing applications.

  • Lead the design of AI-powered and multi-agent systems that connect workflows across design, estimating, procurement, and field execution.

  • Architect retrieval-augmented generation (RAG) and computer vision pipelines that interpret plan sets, generate takeoffs, and surface contextual insights.

  • Combine LLMs, CV, and rule-based logic to deliver explainable and auditable systems tailored to construction professionals.

  • Ensure architectural scalability, performance, and observability in all deployed systems.

  • Oversee the end-to-end ML lifecycle—from experimentation and model development to deployment, monitoring, and iteration.

  • Implement best practices in MLOps, data management, and continuous delivery pipelines.

  • Deliver measurable improvements in model quality, reasoning accuracy, and cost efficiency through advanced evaluation methods, such as Evals, zero- and few-shot benchmarking, Chain-of-Thought, and LLM-as-a-judge techniques to guide continuous model refinement.

  • Build, mentor, and lead a cross-functional team of applied AI and ML engineers, partnering closely with product, design, and software engineering teams to deliver production-grade AI-powered systems.

  • Foster a culture of collaboration, experimentation, and responsible AI development.

  • Manage vendor relationships and technology partnerships across cloud and AI platforms.

  • Collaborate with design, estimating, and operations teams to identify automation opportunities and ensure successful adoption.

  • Translate complex AI concepts into clear direction for business and product stakeholders.

  • Represent the organization’s AI vision in external partnerships, technical forums, and industry collaborations.

What You Need to Succeed:

  • 12+ years of experience in applied AI, ML, and/or Software engineering, with at least 5 years in a leadership role.

  • Bachelor’s or advanced degree in Computer Science, Machine Learning, or a related field preferred.

  • Proven success designing and deploying AI-driven systems in production environments.

  • Expertise in LLMs, computer vision, multimodal models, and retrieval-augmented generation (RAG) architectures.

  • Strong foundation in modern software engineering—including APIs, microservices, CI/CD, and containerization.

  • Hands-on familiarity with ML platforms such as MLflow, Kubeflow, or SageMaker for model training and deployment.

  • Demonstrated ability to collaborate across engineering, product, and operations in a complex technical environment.

  • Excellent written and verbal communication skills for both technical and executive audiences.

  • Experience in residential construction technology, including estimating, takeoffs, or design automation is preferred.

  • Background in BIM/CAD integration, digital twin platforms, or 3D modeling workflows is preferred.

  • Familiarity with agent orchestration frameworks (Temporal, n8n, LangGraph) and enterprise API integration is preferred.

  • Understanding of AI governance, auditability, and human-in-the-loop validation frameworks is preferred.

  • Experience with Azure, AWS, or GCP cloud platforms for scalable AI deployment is preferred.

Ready to Join? Apply now! MyParadigm.com/careers/
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