Multiscale AI · 1 month ago
Tech Lead Manager, Forward Deployed Applications
Boise, ID
Full-time
Onsite
Senior Level
7+ years expMultiscale AI provides advanced AI solutions for Semiconductor Manufacturing Process Optimization (SMPO) and is seeking a Tech Lead Manager for their Forward Deployed Engineering team based in Boise, Idaho. The role involves leading a team of engineers to deliver data-driven applications, ensuring technical quality and collaborating closely with customers and internal teams.
Artificial Intelligence (AI)Information TechnologyMachine Learning
Responsibilities
Own the technical quality and end-to-end outcomes of applications delivered by the Forward Deployed Engineering team, including correctness, reliability, performance, and user adoption
All apps are Docker-containerized micro-services written in Python frameworks such as Streamlit, Gradio, and FastAPI, plugging seamlessly into our Advanced AI Platform
Review and guide application and system architectures that integrate Multiscale’s data platform, AppHub, backend services, and customer systems
Make clear trade-offs between speed, robustness, and long-term maintainability in a fast-moving delivery environment
Provide hands-on technical support: participate in code reviews, help debug complex integration and production issues, and pair with engineers on hard problems when needed
Ensure solutions are built with appropriate security, observability, and operational readiness for high-stakes manufacturing environments
Define and enforce coding standards, design patterns, and testing practices for the forward deployed team based in Boise
Identify recurring patterns from deployments and turn them into reusable components, templates, tools, and structured feedback into the AppHub and platform roadmap
Spot early warning signs in product behavior, customer environments, or team execution and act quickly to address them
Directly manage a team of forward-deployed engineers (junior and senior), providing regular 1:1s, coaching, feedback, and performance management
Set clear expectations, goals, and growth plans for each engineer, balancing technical depth, autonomy, and delivery outcomes
Raise the bar for the team through clarity of priorities and standards rather than heavy process
Create an environment where engineers can move fast without compromising quality or burning out
Partner with recruiting to hire additional engineers; own the technical onboarding and ramp-up for new team members
Help define how forward-deployed teams are staffed and supported as customer engagements expand, ensuring the model can scale without unnecessary complexity
Work onsite with customer engineers and domain experts to deeply understand requirements, constraints, and success criteria
Act as the technical counterpart to Multiscale’s Delivery organization, collaborating closely with solution engineers and project managers who own the program plan and customer communication
Join key customer meetings as the technical lead to clarify feasibility, highlight risks, and explain technical decisions and trade-offs
Build trust with customer stakeholders by operating calmly under pressure, being transparent about risks, and consistently following through on commitments
Communicate technical status, issues, and decisions in a clear, concise way that both technical and non-technical stakeholders can understand
Collaborate with Multiscale’s Product and Platform/Data Platform teams to align on data models, APIs, integration points, and platform capabilities
Provide structured, field-driven feedback into product and platform roadmaps, highlighting reusable patterns, common pain points, and opportunities for leverage
Help codify best practices, reference architectures, and playbooks that can be reused across forward deployed projects and customers
Operate in a high-paced, often ambiguous environment, maintaining momentum while managing technical risk
Work with Delivery to build realistic plans and then own the technical execution against those plans
Proactively identify delivery and technical risks early and drive mitigation plans before they impact timelines or quality
Make fast, sound decisions under pressure, while being willing to adjust course when new information emerges
Continuously improve the team’s ways of working (development workflows, CI/CD, metrics, retrospectives) to keep the team fast and effective without excessive process overhead
Qualification
Required
Total of 7+ Years of experience with 3–4+ years of experience in a Technical Lead, Tech Lead Manager, or Engineering Manager capacity, leading software engineers in a fast-paced environment
3–4+ years of hands-on software development experience building production systems (for example, in Python, JavaScript, or similar)
At least 1–2 years working in a forward deployed, embedded, or directly customer-facing engineering capacity (e.g., forward deployed engineer, implementation engineer, consulting engineer, or similar)
Experience managing both junior and senior engineers, including performance feedback, growth coaching, and hiring involvement
Proven track record of delivering complex software projects end-to-end in a high-pace environment with evolving requirements and high visibility
Demonstrated experience working directly with customers while partnering with solution engineers, delivery leads, or project managers
Strong background in building data-centric applications, including working with APIs, databases, and data pipelines
Experience building end-to-end applications with Python backends and simple web frontends (e.g., Streamlit-style data apps, dashboards, or lightweight web UIs), and ability to review, validate, and discuss frontend implementation and UX with engineers
Strong judgment in ambiguous situations and experience leading high-pressure projects from prototypes through production
Ability to write and review production-grade code in at least one modern language (e.g., Python or TypeScript/JavaScript)
Ability and willingness to work 5 days per week onsite at customer premises in the Boise, ID area and to travel to other customer sites as needed
Preferred
Prior experience in a forward-deployed or field engineering role at a data, AI, or infrastructure company
Exposure to semiconductor manufacturing, micro-electronics, or other industrial domains
Strong Python skills with experience in FastAPI or Flask
Solid understanding of SQL/NoSQL databases, API design, Docker, and Git
Experience with at least one major cloud provider (Azure, AWS, or GCP)
Familiarity with ML pipelines and working with domain-specific datasets
Experience influencing platforms and product roadmaps based on learnings from customer deployments
Benefits
Competitive salary and equity options.
Comprehensive health, dental, and vision coverage.
Flexible paid time off.
Opportunity to work with a cutting-edge team in AI and semiconductor technology.
Company
Multiscale AI
Multiscale AI empowers semiconductor manufacturers to accelerate innovation with advanced AI solutions for Semiconductor Manufacturing Process Optimization (SMPO).
11-50 employees
H1B Sponsorship
Multiscale AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (7)
2024 (3)
Funding
Current Stage
Early StageTotal Funding
$22.78MKey Investors
Alumni VenturesMicron Ventures
2024-09-17Series A· $11.09M
2022-10-04Seed· $7.42M
2022-03-22Convertible Note· $1.05M
Leadership Team
Vasu Kalidindi
Founder, Sales Leader
Recent News
2025-02-08
Company data provided by crunchbase