How you’ll demonstrate Ownership

We are seeking an AI Platform Engineer to join the Cognite Atlas AI Product team in Phoenix, AZ, to engineer, build, and operate the production-grade, multi-cloud platform that enables our internal and partner teams to build, deploy, and manage industrial AI agents. You will be responsible for creating the core services, frameworks, and infrastructure for our "agent builder workbench" and agent runtime, focusing on scalability, reliability, cost-efficiency, and security. Your work will directly impact industrial efficiency and sustainability, which is critical to our mission of powering a high-tech, sustainable, and profitable industrial future.

The Impact you bring to Cognite

• Design, build, and maintain the core Python SDKs and services for the Atlas AI platform. Create clean abstractions that empower Solution Engineers to easily define and test agents and workflows.
• Build the core agentic runtime, ensuring it is scalable, meets its SLOs, and can reliably manage the state, orchestration, and execution of industrial agents.
• Develop a robust, governed, and secure framework for AI agent tool-use. Engineer the platform components that allow solution engineers to safely add new tools (e.g., API calls, database queries) and that manage the secure execution, monitoring, and access control for those tools.
• Manage the LLM serving layer, including deploying and optimizing models for low-latency/high-throughput inference. Build and maintain model routing logic to select the most appropriate model (e.g., performance vs. cost) for a given task.
• Implement evaluation and observability for all AI services. Create standardized frameworks for systematically evaluating the performance, accuracy, cost, and safety of LLMs and agentic workflows. Drive the implementation of robust, automated testing strategies for LLM-based systems.
• Own the full development lifecycle for services in a production SaaS environment. This includes establishing automated code coverage goals, rigorous code reviews, defining SLOs, participating in on-call rotations, and ensuring a fast and effective incident response process.
• Work closely with the Lead Architect to translate the technical vision into implemented, production-grade services. Act as a key partner for the Solution Engineers (your internal customers) to understand their needs and abstract common patterns into reusable, robust platform components.
• Stay up to date on the latest developments in the field, and mentor junior developers.

Required Qualifications

• Bachelor's or Master’s degree in Computer Science or a related field, or equivalent practical experience.
• 8+ years of professional experience in backend software engineering, platform engineering, or MLOps, with a proven track record of architecting and operating complex systems at scale.
• 2+ years of hands-on experience building applications or platforms on top of AI/ML models or LLMs.
• Expert-level proficiency in Python and a strong background in software architecture, robust API design, and building maintainable, well-documented SDKs for other developers.
• Hands-on experience with Kubernetes (K8s) and building services on managed PaaS in a multi-cloud environment (AWS, Azure, GCP). Strong understanding of Infrastructure as Code (e.g., Terraform).
• Proven experience building and operating production-grade SaaS software. Understanding of the full development life cycle, including CI/CD, monitoring, telemetry, and on-call incident response.
• Practical experience with LLM orchestration frameworks (Bedrock, Vertex, Semantic Kernel, LangChain).
• Strong verbal and written communication skills, with the ability to articulate complex technical designs and decisions clearly.

Preferred Experience

• Hands-on experience deploying and managing LLMs in production using high-performance serving frameworks.
• Experience with MLOps/LLMOps tools for tracing, monitoring, and evaluating LLM applications (LangSmith, Arize, Phoenix, or equivalent).
• Experience with RAG Infrastructure, embedding generation pipelines, vector database integrations, and high-performance vector similarity search APIs.

A snapshot of our many perks and benefits as a Cogniter

 

 

 

Learn more about us

 

 

 

• Impact 2025
• Cognite's Industrial AI: Moonshot
• We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.

 

 

Equal Opportunity

Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.

Location

This role requires working from our downtown Toronto office 4 days/week (Mon, Tues, Thurs, Fri). Candidates must be based within a 50-mile commuting distance of the office.

About the Role

At Opendoor, AI isn’t a side project - it’s how we work. Across the company, teams default to AI to solve problems, ship faster, and remove friction from everything we do. You will help define the future of how we work by building AI powered workflows, automation, and experiences that drive leverage across Finance — spanning month-end close, SEC Reporting, FP&A, Technical Accounting, Tax, Procurement, Accounts Payable, and Payroll. This is high agency work in high ambiguity - turning messy problems into clean solutions, prototyping fast, and shipping.

You'll make systems design and tooling decisions that affect how our Finance operations scale – so we need people who think critically about what and why they build, the impact it will have on our team, and how to measure success. 

We're looking for AI-native builders who know how to automate complex operational workflows. The accounting and finance domain knowledge can be learned — what matters most is that you're wired to build, that you default to AI in how you approach problems, and that you can map messy business processes into clean, automated systems. 

Why Join Us

• Build AI automation for our Financial Operations from the ground up
• Work on cutting-edge systems directly impacting key Finance processes in a public company 
• Collaborate with talented engineers and finance team members
• Access to enterprise AI tools — Claude Code, Cursor, and LLM APIs. We invest heavily in AI infrastructure so you can build and experiment.

What You'll Do

This is a hands-on individual contributor role. You will design, build, and ship automations — not just evaluate tools or write strategy decks.

• Turn complex Accounting and Finance problems into clear system designs, experiments, and implementation plans
• Build and maintain AI-powered automation that improves operational efficiency, accuracy, and scale across Finance functions
• Automate workflows (journal entries, reconciliations, flux analysis) using SQL, Python, and agentic AI
• Maintain clean, auditable data throughout automated workflows, with dashboards and controls that support both operational and compliance needs
• Partner with the internal SOX team and external auditors to ensure automated processes meet compliance standards and are well-documented
• Build and scale AI literacy across the Finance team through runbooks, documentation, best practices, and hands-on training 

What You'll Bring

• At least 5+ years of work experience building automation, operational workflows, or data systems in any industry. 
• Familiarity with LLM deployment, context engineering and comfortable writing SQL or Python code
• Understanding of machine learning lifecycle concepts: training, evaluation, deployment, monitoring

Systems Thinking: You understand how data flows through operational systems. You can look at a business process, identify the inputs, outputs, dependencies, and failure modes, and design automation around it.

System Design: You take complex, messy problems and reduce them to simple, durable architecture. 

Communication: Articulate problems clearly to both technical and non-technical audiences. You write clean documentation, build dashboards that tell a story, and can walk a stakeholder through your design rationale.

AI Alchemy: You have high agency and a tinkering mindset. You default to experimenting, running variations with new tools and methods - LLMs, automation platforms, coding assistants until you can transmute data into high quality results. You're comfortable writing SQL code, working with APIs, and stitching tools together to ship solutions fast.

Impact Driven: You optimize for impact over novelty, choosing the right tools for the job and ensure performance, scalability and resiliency.

Bonus if you have:

• Experience in Accounting or Finance 
• Comfort working in regulated or compliance-sensitive environments

Tools and Technologies

You'll work across a range of tools and we expect this list to evolve. Ideal candidates will have experience with the following tech stack:

• AI coding assistants: Claude Code, Cursor, or similar 
• Workflow automation: Gumloop or similar platforms
• MCP integrations
• Agentic AI frameworks or building automation flows 
• Data / ERP platforms: Snowflake, NetSuite, Ramp or similar 

Note: Opendoor provides enterprise-level access to all AI tools listed above. Our engineers currently consume billions of AI tokens per month across the company and are not constrained by token limits or personal account restrictions.

Compensation

Our compensation plan consists of a base salary and Opendoor equity  in addition to a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

 #LI-DM

#LI-Onsite

Location

This is an in-person role that must be performed from the Phoenix, AZ office. Candidates must be able to be physically present in the office 4 days a week.

About the Role

We’re seeking an exceptional Senior Accountant to join our Accounting & Finance team. The ideal candidate brings a strong foundation in accounting, public company experience, and a forward-looking mindset around automation and AI-driven process improvement. You’ll be expected to apply sound judgment on accounting matters while identifying opportunities to modernize how the team operates.

What You Will Do

• Leverage AI tools and emerging technologies to streamline accounting workflows, enhance data analysis, and support scalable processes as the business grows
• Design, recommend, and implement automation initiatives (e.g., scripting, workflow tools, ERP enhancements) to reduce manual effort and improve close efficiency
• Prepare and review journal entries, and month-end close deliverables including balance sheet reconciliations, flux analyses, and bank reconciliations — ensuring completeness, accuracy, and well-documented support.
• Support the preparation of Opendoor’s consolidated financial statements and assist with external financial statement audits, including SOX and internal controls documentation, audit support, and controls testing
• Prepare monthly consolidation and elimination journal entries, including transactions involving multiple currencies and intercompany activities. 

What You Need

• Bachelor’s degree in Accounting or Finance
• Minimum 3+ years of progressive accounting experience in a fast paced environment
• Familiarity with automation and AI/ML tools (Chat GPT, Claude) and a willingness to explore how emerging technology can improve accounting processes
• Experience with SOX compliance and internal controls over financial reporting
• Proficiency in Microsoft Excel (advanced functions, pivot tables, lookups) and comfort working with large datasets
• Exceptional organizational skills and attention to detail, with the ability to manage multiple priorities during close
• Excellent written, verbal, and interpersonal communication skills.
• Ability to meet deadlines, independently manage your time, and be self-motivated in a fast-paced environment

Bonus Points If You Have

• Licensed CPA or CPA candidate
• Real estate accounting experience or exposure to inventory-based business models
• NetSuite or other enterprise ERP experience (Oracle, SAP, Workday)
• Experience building or improving automated reconciliations or close management workflows
• Prior experience at a high-growth or publicly traded technology company, or a Big 4 accounting firm. 

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

 #LI-RM

#LI-Onsite

Your Impact

Axon Enterprise (Nasdaq: AXON) is seeking a Data Science Principal within the Office of the Chief Accounting Officer (CAO). This is a hands-on enabler role for a technically exceptional professional with deep finance and accounting domain expertise. Your primary mission is to ensure that Axon’s AI builders, process owners, decision-makers, and auditors can operate with clean, trusted, well-governed, and audit-ready data. You will spend roughly half your time building data analytics tools and pipelines—leveraging AI as a development accelerator—to support complex, large-scale projects including mergers and acquisitions (M&A) integration, enterprise resource planning (ERP) system deployments, upstream data remediation, and SOX compliance initiatives.

The other half is strategic: partnering across Controllership, Finance Operations, Financial Planning and Analysis (FP&A), Internal Audit, and Technology to establish the data foundation that makes AI, automation, and audit readiness possible. You will use AI-assisted development tools (code generation, copilots, large language models) as part of your everyday build process.

What You’ll Do

Hands-On Building & Upstream Data Cleanliness (~50%)

• Design and develop data analytics tools, automated validation frameworks, and dashboards that give Finance Operations and Controllership real-time visibility into data health across enterprise systems. Use AI to rapidly prototype, test, and deploy these solutions.

• Drive upstream data hygiene cross-functionally: partner with source-system owners in Revenue Operations, Procurement, Human Resources, and Engineering to fix data issues where they originate, not after they propagate.

• Own data dictionaries, lineage documentation, and quality scorecards for critical controllership data assets. Establish and enforce master data management (MDM) standards.

• Partner with the Chief Information Officer (CIO) and Information Technology (IT) on integration strategy, ensuring seamless data flows between ERP, sub-ledgers, and the enterprise data platform. Support Snowflake data warehouse deployment.

Mergers & Acquisitions Data Integration

• Lead data workstreams for M&A transactions end-to-end: perform data due diligence on target companies, assess data quality risks, and build integration playbooks for onboarding acquired-company data into Axon’s enterprise platform.

• Design and execute data mapping, cleansing, and migration plans for post-acquisition integration—ensuring acquired entities are reporting on clean, consolidated data within defined timelines.

• For interim stage prior to M&A integration, build, own, and operate extract-transform-load (ETL) and extract-load-transform (ELT) pipelines that remediate data quality issues at the source—before data reaches downstream AI models, reporting, or analytics. Leverage AI-assisted development tools (copilots, code generation, large language models) to accelerate pipeline development and iteration.

• Build repeatable M&A controllership data integration frameworks—using AI to automate data profiling, matching, and anomaly detection—that scale as Axon’s acquisition pace accelerates.

Financial Controls, SOX & Audit Readiness

• Co-design data pipelines and analytics with auditability built in—traceable lineage, complete audit trails, and evidence that holds up under external audit.

• Build or collaborate with process owners to build close-support tools (GL-to-sub-ledger, intercompany, journal entries) that reduce manual effort and strengthen control evidence.

Enabling AI Builders & Process Owners

• Serve as the data enablement partner to Axon’s Controllership AI team and Controllership process owners—ensuring they have access to clean, well-structured, governed datasets for machine learning (ML), automation, and large language model (LLM) initiatives.

• Collaborate with AI builders to define data requirements, validate input data quality, and create feedback loops that continuously improve data upstream of AI/ML workflows.

• Create self-service analytics capabilities that enable FP&A, Tax, Treasury, and Controllership teams to access trustworthy data without bottlenecks.

Partnership & Cross-Functional Leadership

• Serve as a trusted partner to the CIO, shaping technology roadmaps, enterprise architecture, and system integration decisions. Act as a strong ally to Controllership and Finance Operations.

• Engage stakeholders across FP&A, Tax, Treasury, Engineering, Product, Revenue Operations, and Legal to manage cross-functional data projects end-to-end. Influence without authority across global, distributed teams.

What You Bring

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Finance, or a related field with 8+ years in data science, data engineering, or analytics.

• Hands-on builder: strong, current proficiency with Structured Query Language (SQL) and Python—you write code, build pipelines, and ship tools, not just direct others. Comfortable using AI-assisted development tools to multiply your output.

• Deep experience with upstream data quality remediation, master data management, and data governance operationalization in a finance or accounting environment.

• Demonstrated M&A data integration experience: due diligence, data mapping, migration, and post-acquisition consolidation.

• Ability to build senior-level relationships, lead cross-functional projects end-to-end, and influence without direct authority across global teams.

• Working knowledge of US GAAP accounting processes (R2R, O2C, P2P, revenue recognition) or FP&A processes (budgeting, forecasting, variance analysis)—you understand the business logic, not just the data.

• Practical familiarity with SOX compliance and IT General Controls (ITGCs) sufficient to design audit-ready data pipelines, maintain traceable audit trails, and support internal audit teams and external auditors with data extracts, population listings, and control evidence—without needing to own the SOX program or control design.

Preferred Qualifications:

• Snowflake or comparable cloud data warehouse experience. Business intelligence (BI) platforms such as Sigma.

• High-growth, publicly traded technology company or digital transformation environment.

• Experience enabling AI/ML teams with clean data pipelines. Demonstrated use of AI code-generation in day-to-day development. Supervisory experience leading data teams.

• M&A integration at a company with an active acquisition strategy. Public safety, defense, or regulated industry background.

• Experience with audit management or financial close platforms/ERP and their data integration requirements; familiarity with how these tools consume and produce audit evidence.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• Employee Resource Groups (ERGs)
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Your Impact

As an Automation Technician IV, you will serve as a senior technical leader within the

automation support team. You will lead advanced troubleshooting efforts, mentor junior

technicians, drive large-scale equipment improvements, and collaborate cross-functionally to

support high-volume automated manufacturing processes. You will play a key role in developing

technical standards, evaluating new automation technology, and ensuring system performance at

scale.

What You’ll Do

Location: Scottsdale, Arizona

Reports to: Senior Manager, Assets Reliability

• Lead complex equipment diagnostics and resolve high-impact automation issues

• Own system-level troubleshooting across electrical, mechanical, pneumatic, and software

domains

• Develop, implement, and optimize preventive and predictive maintenance programs

• Mentor and train lower-level technicians and production operators on automation best

practices

• Collaborate with Manufacturing Engineering and R&D to support new equipment

installation and qualification

• Design and improve test procedures to ensure product and process quality at scale

• Serve as technical liaison for automation projects involving external vendors and internal

stakeholders

• Drive continuous improvement initiatives to enhance equipment uptime, cycle time, and

reliability

• Champion documentation standards including technical drawings, training protocols, and

troubleshooting guides

• Support the integration and optimization of PLCs, vision systems, and robotic cells

• Interpret advanced schematics and execute electrical or mechanical modifications when

needed

• Lead root cause analysis efforts for recurring technical issues

• Promote a strong safety culture and compliance with operational best practices

What You Bring

• GED, High School Diploma, or Associate’s degree in engineering, automation, or related

technical discipline

• 8+ years hands-on experience in automated manufacturing systems

• Proven expertise with industrial control systems, including PLC programming (Allen-

Bradley preferred)• Strong proficiency with machine vision systems and robotic automation platforms

• Solid understanding of manufacturing execution systems (MES) and industrial

networking

• Experience with SolidWorks and CAD software for tooling design and documentation

• Familiarity with statistical process control (SPC) and failure mode analysis (FMEA)

• Demonstrated leadership experience in cross-functional technical teams

• Ability to read and interpret advanced schematics, blueprints, and electrical diagrams

• Excellent problem-solving skills and a proactive mindset toward continuous

improvement

• Strong communication skills and ability to lead technical training sessions

Benefits That Benefit You

• Competitive salary and 401(k) with employer match

• Discretionary paid time off

• Paid parental leave for all

• Comprehensive Medical, Dental, Vision plans

• Fitness & Wellness programs

• Emotional & Mental Wellness support

• Learning & Development programs

• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location

where you work.

About the Team:

The Development Fleet Operations team is responsible for the safe testing and operation of the newest technologies. As an Operations Specialist you will contribute to the daily driving and testing of autonomous trucks, own the safety of the operation, and provide feedback on system performance and behaviors while hauling commercial freight.

Responsibilities: 

• Safely operate autonomous trucks on the public roads to support development testing and commercial pilot operations.
• Haul commercial freight between customer locations and/or meet points.
• Provide feedback on system performance to advance self-driving technology.
• Utilize internal tools on a smartphone/tablet to track work assigned and completed. 
• Uphold industry-leading safety standards, remaining compliant with internal benchmarks.
• Remain alert and attentive while operating during extended stretches of autonomy.

Schedule:

9/3 rotation: Work 9 days, then enjoy 3 full days of reset at home.

• Compensation: $32.00 – $37.00/hr + Annual Bonus + Profit Sharing
• $0 Healthcare Premiums: Stack covers 100% of Medical, Dental, and Vision for you and your family
• Retirement: 401(k) plan with generous company match and annual profit-sharing contribution
• Time Off: Open PTO policy and 11 paid company holidays
• No-Touch Freight: 100% no loading or unloading of trailers

Qualifications & Safety Standards: 

• Experience: 7+ years of Class A driving experience
• License: Valid Class A CDL (Airbrake Endorsement) and current DOT Medical Certificate
• Zero-Tolerance Safety Record: We require a strictly clean MVR. You must have no history of:
  • Reckless Driving, Leaving the scene of an accident, or License suspensions/revocations
  • No Moving Violations within the last 7 years, including: Speeding, running red lights/stop signs, failure to yield, tailgating, improper turns/lane changes, distracted driving, seat belt violations, or unlawful passing (school buses/railroad crossings)
• Testing: Must pass pre-employment drug/alcohol screening and sleep apnea screening

Your Impact  

In this hands-on role, the Manufacturing Operator will identify, prioritize, and simultaneously accomplish multiple tasks using time management. You will perform tasks and motions ranging from basic in nature to complex. Repetitive to non-repetitive production assembly operations on electronic and/or mechanical assemblies and sub-assemblies such as modules, boards, and panels. You will follow process flows, work instructions, standardized techniques, and sequence of operations in assembling parts, component installation, hand soldering, and sub-assemblies and units.  
 
Your Day-to-Day  

• Maintain a safe work environment by following Axon safety policies 

• Maintains quality standards according to process flows and work instructions 

• Must be able to demonstrate a mathematical aptitude in addition, subtraction, multiplication, and division 

• Good written and verbal communication skills  

• Takes initiative and elevates accurate information to technicians and maintenance when needed 

• Knowledge of materials and production processes  

• An excellent understanding of equipment sequence and the impact and effects it has in the production process 

• The ability to evaluate and complete quality checks 

• Always maintains housekeeping in areas to 7-S standards. 

• Serve as a resource to others in the resolution of problems and issues 

• Ability to read and follow written procedures related to tooling / equipment changeover(s), checklists, tooling maintenance, tooling repair, tooling storage and retrieval and tool shop housekeeping. 

• Must be self-directed and reliable  
• Looks for process errors and brings them forward to supervisor 

  Basic Qualifications 

• High School Diploma or Equivalent Years of Work Experience 

• Basic Computer Literacy  

• Able to follow instructions and production schedules 

• Adaptable and able to act quickly when problems arise 

• Attention to detail 
• Good coordination, motor skills and dexterity 
• Ability to stand for upwards of 10 hours a day; as well as lift, carry, move packages and materials up-to-40 lbs. on a regular basis; with or without special accommodations, is required 

• Prior Manufacturing experience 

• IPC Certification 

• Basic Microsoft Suite 

• Manufacturing Machine Operations 
• Strong Communication and Organizational Skills  

Physical Requirements:   

• Spend Time Standing and sitting. 

• Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls. 

• Ability to stand for upwards of 12 hours a day; as well as lift, carry, move packages and materials up-to-50 lbs on a regular basis; with or without special accommodations, is required 
• Spend Time Making Repetitive Motions. 

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work

Your Impact  
In this hands-on role, the Manufacturing Operator will identify, prioritize, and simultaneously accomplish multiple tasks using time management. You will perform tasks and motions ranging from basic in nature to complex. Repetitive to non-repetitive production assembly operations on electronic and/or mechanical assemblies and sub-assemblies such as modules, boards and panels. You will follow process flows, work instructions, standardized techniques, and sequence of operations in assembling parts, component installation, hand soldering, and sub-assemblies and units.  
 
Your Day-to-Day  

• Maintain and promote a safe working environment by adhering to all safety requirements 

• Responsible for working in a manufacturing environment with exposure to elements such as; odor, noise, dust, heat, cold, chemicals and other elements 

• Responsible for adhering to strict safety and environmental guidelines to include wearing appropriate Personal Protective Equipment (PPE) 

• Ability to perform detailed tasks and follow standard work instructions 

• Use computers to perform tests, download information or record test data 

• Use hand tools, machine tools and various types of equipment to assemble and test products 

• Ability to work and communicate with others in a professional and effective manner, within a team-oriented environment. 

Basic Qualifications 

• High School Diploma or Equivalent Years of Work Experience 

• Ability to use hand tools, soldering iron, other industrial tools 

• Able to follow instructions and production schedules 

• Adaptable and able to act quickly when problems arise 

• Attention to detail 

• Good coordination, motor skills and dexterity 

• Applicable ADA Verbiage or Driving/Travel Requirements (percentage) 
• Ability to stand for upwards of 12 hours a day; as well as lift, carry, move packages and materials up-to-50 lbs on a regular basis; with or without special accommodations, is required 

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work

ABOUT ROCKET MONEY 🔮

Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM 🤝

Data Platform Engineers at Rocket Money further our mission by building and maintaining the infrastructure that enables our company to understand our users and products through reliable, scalable data systems. We build the foundational platform that ingests, processes, and serves data—enabling our Data Analytics, Machine Learning, and Software Engineering teams to build data products efficiently. We work closely with engineering teams to ensure data is captured correctly at the source, design resilient pipelines, and create self-service capabilities that empower stakeholders.

The Data Platform team is in an exciting phase of growth and formalization. While we have established tools and processes in place (dbt, BigQuery, Terraform), we're actively building the comprehensive standards, practices, and systems that will scale with Rocket Money as it grows. We're looking for engineers who can take ownership and evolve workflows into reliable, well-documented, production-grade systems. This is an opportunity to shape architectural decisions, establish team practices, and define how Rocket Money works with data for years to come.

We have a strong preference for process-oriented systems thinkers who excel in balancing stakeholder requirements, technical debt, and organizational complexity—and who thrive in environments where they need to create structure from ambiguity. You'll need to be comfortable making principled decisions, taking ownership not just of code but of outcomes, and operating with significant autonomy as we build the platform together.

ABOUT THE ROLE 🤹

In this role, you will:

• Be an end-to-end owner of our data platform infrastructure, ensuring its security, usability, and performance. Work closely with analytics engineers, machine learning engineers, and software engineers to ensure the platform meets their needs.
• Make collaborative decisions about data tooling, pipeline design, and governance, and implement opinionated interfaces that facilitate easy and best-practice-aligned development for other teammates.
• Continuously improve failure rates for data sources by moving alerting “to the left”; i.e. catching and quarantining bugs/failures as close to the source as possible.
• Analyze patterns in how source data is generated, modeled, and consumed. Work with stakeholders to implement the best solution when new data sources are added.
• Take ownership of existing tools and workflows that may be functional but lack formal structure, documentation, or reliability measures. You'll assess what's working, identify gaps, and systematically improve systems to production-grade quality.
• Document everything you build knowing that you're creating the foundation others will build upon. Your runbooks, architecture decision records, and system documentation will become the institutional knowledge of our data platform.
• Proactively communicate with multiple stakeholders on platform capabilities, technical constraints, architectural decisions, project priorities, and platform support.
• Confidently juggle multiple projects and priorities in our fast-paced environment and work with stakeholders and platform teammates to ensure infrastructure changes, migrations, and improvements are delivered on schedule.
• Automate aggressively and deliberately; anything from GitHub Actions to Slack Workflows to minimize repetitive tasks. Effectively judge when the level of effort is appropriate and avoid over-engineering.

ABOUT YOU 🦄

• You have 6+ years of experience working with data infrastructure, data engineering, or platform engineering within a fast-paced environment. You are highly proficient with SQL, Python, and cloud-based Infrastructure-as-Code (e.g. Terraform), and comfortable working with bash/shell scripting.
• You have 4+ years of production experience with modern data stacks including data warehouses (BigQuery, Snowflake, or Redshift), orchestration tools, managed ingestion services, and infrastructure as code (Terraform, Pulumi, or CloudFormation).
• You have 2+ years of experience building and maintaining production data pipelines, whether through ELT tools, custom applications, streaming systems, or event-driven architectures.
• You've successfully "professionalized" data infrastructure before—taking scrappy, working systems and evolving them into reliable, well-documented, production-grade platforms. You can articulate what "production-ready" means in a data context.
• You have a bias toward action and aren't paralyzed by imperfect solutions. You understand when "good enough for now with a plan to improve" beats "perfect but six months late." You ship incrementally and iterate based on feedback.
• You're comfortable being the first person to tackle a problem. You don't need extensive mentorship or detailed tickets—you can take a high-level business need and figure out the technical approach. That said, you know when to ask for help and can articulate what you need.
• You take ownership seriously—not just of writing code, but of outcomes. When you build something, you implement monitoring, write runbooks, create alerts, and ensure it can be maintained by others. You think about the full lifecycle of systems, not just initial delivery.
• You have strong opinions, weakly held. You can make and defend architectural decisions, but you're open to feedback and willing to change course when presented with better information. You can disagree and commit.
• You understand that "building from scratch" doesn't mean rejecting existing tools—it means thoughtfully selecting, configuring, and integrating managed services and open-source solutions to create a cohesive platform. You know when to build and when to buy.
• You have experience making big changes to critical data infrastructure. You’ve successfully re-architected, migrated, or upgraded data tooling that has strict SLA’s, without significantly affecting downstream stakeholders.

Bonus points if:

• You have led a data infrastructure migration or modernization project where you defined the vision, approach, and implementation.
• You have created internal tools, frameworks, or CLIs that improved how teams work with data (not just one-off scripts).
• You have established data platform best practices like CI/CD workflows, testing frameworks, or observability standards where none existed.
• Expertise in cloud platforms and technologies analogous to our stack:
  • Our stack: GCP (BigQuery, Datastream, Cloud Functions, Vertex AI, GCS), dbt, Fivetran, Postgres, Python, Terraform, Looker, Retool
  • Analogous experience: AWS (Redshift, DMS, Lambda, SageMaker, S3) or Azure (Synapse, Data Factory, Functions), Snowflake, Airbyte/Stitch, infrastructure as code tools, BI platforms

WE OFFER 💫

• Health, Dental & Vision Plans
• Life Insurance
• Long/Short Term Disability
• Competitive Pay
• 401k Matching
• Team Member Stock Purchasing Program (TMSPP)
• Learning & Development Opportunities
• Tuition Reimbursement
• Unlimited PTO
• Daily Lunch, Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional information: Salary range of $160,000 - $200,000 + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money, Inc. is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

 About the Internship   

Our Spring internship provides a hands-on experience in the fast-paced and exciting semiconductor industry. Our interns will work alongside industry projects and gain valuable insights into our core engineering roles. This program is designed to grow and shape the industry leaders of tomorrow, offering a chance to learn, develop and build the skills needed for a successful career in the semiconductor field.    

What to expect  

This position is a paid internship that is expected to start January/February 2027 and continue through April/May 2027. The duration will be 12 weeks, full time and on-site. Our internship program is for students who are actively enrolled in a full-time academic program. Recent graduates seeking employment after graduation and not returning to school should apply for our Early Career opportunities.  

International Students: Please consult with your school's international office prior to your application on your ability to pursue this internship opportunity.  

What You’ll Do  

JOB SUMMARY

The Data Analyst is responsible for analyzing, modeling, and interpreting complex datasets to support decision-making across the civil engineering organization. This role focuses on leveraging data from Deltek Vision/Vantagepoint, the Microsoft technology stack, and Power BI to develop predictive models, dashboards, and analytical insights that enhance project performance, financial forecasting, resource planning, and operational efficiency. In addition to supporting project, financial, and operational analytics, this role also provides analytical support for Human Resources initiatives, including workforce reporting, talent metrics, and HR data insights that inform organizational planning and employee experience strategies. In this role, an employee will be expected to develop and demonstrate proficiency regarding the essential functions of the job listed below. 

ESSENTIAL FUNCTIONS

• Extract, analyze, and model data from Deltek Vision/Vantagepoint, Microsoft SQL Server, and other enterprise systems.
• Design, build, and maintain Power BI dashboards and data visualizations that deliver actionable insights to project managers, financial teams, and leadership.
• Develop predictive models and statistical analyses to support forecasting, project risk identification, and operational decision-making.
• Create and maintain scalable data pipelines and ETL processes using Microsoft tools such as Power Query, SQL, Dataverse, and SharePoint integrations.
• Ensure data accuracy, integrity, and consistency through rigorous validation and quality assurance processes.
• Collaborate cross-functionally with engineering, project management, finance, Human Resources, and IT teams to understand business needs and develop tailored analytical solutions.
• Communicate complex analytical results clearly to non-technical audiences through visualizations, summaries, and presentations.
• Support data governance, security best practices, and standardization of KPIs and reporting frameworks.
• Research and recommend emerging technologies or analytical techniques to advance the firm’s data capabilities.
• Document analytical methods, data structures, dashboards, and models following internal documentation standards.
• Partner with the Human Resources team to develop HR dashboards and metrics, recurring reporting and analytics related to workforce trends, headcount, turnover, retention, compensation insights, and talent planning, ensuring data quality and actionable interpretation of HR data.
• Serve as a subject-matter expert for HRIS data structure, reporting, and integrations.

KEY COMPETENCIES AND SKILLS

• Proficient in Power BI, including DAX, Power Query, data modeling, and advanced visualization design.
• Strong experience with SQL, including queries, stored procedures, and data modeling techniques.
• Understanding of Deltek Vision/Vantagepoint data structures, reporting tables, and integration patterns.
• Proficiency in statistical analysis, predictive modeling, or machine learning techniques.
• Experience with Python or R for data analysis is preferred.
• Familiarity with the Microsoft ecosystem: Excel, SharePoint, Teams, Power Automate, Azure-based tools.
• Strong analytical and problem-solving skills with the ability to approach technical and business challenges methodically.
• Ability to translate business requirements into technical solutions and data-driven recommendations.
• Excellent communication skills (verbal and written), including the ability to present findings to varied audiences.
• Ability to work independently and collaboratively in a team-oriented environment.

EDUCATION

• Bachelor’s Degree in Data Science, Statistics, Computer Science, Engineering, Information Systems, or related field required.
• Master’s Degree preferred.

EXPERIENCE

• 3–7 years of experience in data analytics or data science, preferably within the AEC (Architecture, Engineering & Construction) industry.
• Experience supporting enterprise analytics using Deltek Vision/Vantagepoint strongly preferred.
• Demonstrated experience with Power BI dashboard development and data modeling.
• Experience working with SQL databases and building data pipelines or ETL processes.
• Familiarity with predictive analytics, forecasting, or machine learning models is a plus.
• Experience using the Microsoft suite, including Excel, SharePoint, and Power Automate.

Location: US or Canada
Type: US Applicants - Full-Time; Canadian Applicants - Independent Contractor

About Human Agency

We're scaling rapidly and have a growing pipeline of opportunities that demand exceptional talent across disciplines. Our mission is to bring on individuals, from creative producers to technical experts to entrepreneurial leaders, who can help us realize this next chapter of growth.

We are a company of doers. Leaders roll up their sleeves, teams work flat, and everyone contributes to what ships. Titles don't insulate us from feedback or basics. We invite critique, learn quickly, and keep raising the bar. The best ideas win here, no matter where they come from, because clients trust us to deliver the strongest outcomes every time.

Our clients' missions, products, and bottom lines are sacred. We immerse ourselves in their world, becoming stewards of their goals and partners in solving big problems. Every product, strategy, or asset we create must be both beautiful and functional; practical, usable, and designed for real-world impact.

Humans are our most valuable resource, and we only grow by hiring people who push us forward. Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar and make us better. Always hire up, never down.

We partner with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. We believe AI should amplify human potential, not replace it and we build with that conviction in every engagement. From advisory and tooling to implementation and education, we meet clients where they are at and help them integrate AI in ways that align with their mission and values. Our goal is to empower teams to work smarter, move faster, and unlock new possibilities through thoughtful, responsible innovation.

And through it all, we lead with purpose, love, and adventure. We do meaningful work with people we care about, and we make the ride an adventure worth taking. Because at Human Agency, who we are and how we work are one and the same.

The Opportunity

We are seeking an exceptional Chief of Staff for our Managing Director of AI—someone who combines strategic vision in AI with hands-on execution and technological know-how. You'll be both a force-multiplier and a transformation architect: designing AI-enabled processes, building automated engines that run independently, leading organizational rollouts, and ensuring crisp execution across our AI solutions practice.

This role goes beyond traditional Chief of Staff responsibilities. You'll design processes that leverage AI, build repeatable systems that scale, and lead entire client transformations from discovery to sustained adoption. You have the potential to grow into leading organizational-level AI implementations as the practice expands.

Key Responsibilities

Strategic & Executive Leadership

• Partner with the Managing Director of AI and the executive team to translate priorities into sequenced plans, resourcing, and measurable outcomes
• Lead Human Agency's AI transformation methodology: define offerings, build repeatable frameworks, and establish best practices for AI-enabled workflows
• Design end-to-end processes that embed AI tools (LLMs, automation platforms, knowledge assistants) into client workflows and internal operations
• Translate complex AI capabilities into clear business cases, use cases, and implementation roadmaps for executive audiences
• Produce high-quality executive materials (briefings, roadmaps, decision memos) that drive alignment and decisions
• Identify where AI creates leverage across client engagements and surface strategic opportunities to leadership

AI Process Design & Automated Engines

• Design and build AI-powered systems that operate independently with minimal ongoing intervention—automated engines that scale beyond individual engagements
• Create repeatable processes for AI implementation: discovery frameworks, solution architectures, evaluation routines, and governance models
• Design prompts, playbooks, and knowledge bases optimized for reliability, consistency, and reusability across multiple clients
• Implement lightweight automation using no/low-code tools (Zapier, Make, Airtable) integrated with AI capabilities
• Establish monitoring and feedback loops that enable self-correcting, continuously improving systems
• Document patterns and best practices that can be deployed at scale

Client Service Delivery & Organizational Rollouts

• Own end-to-end delivery on multiple client engagements involving AI-enabled solutions (e.g., knowledge assistants, workflow automations, content summarization, research copilots), from discovery through launch and sustained adoption
• Lead company-wide and client-wide AI adoption initiatives—managing stakeholder alignment, training, governance, and measurement across entire organizations
• Run comprehensive discovery to surface use cases, success metrics, risks, change-management needs, and technical requirements; translate findings into scopes, timelines, and clear acceptance criteria
• Coordinate solution build-outs with internal teammates and external partners: data/connectivity needs, tool selection, integration planning, prompt engineering, and rollout choreography
• Design change-management approaches that address skill gaps, cultural resistance, workflow disruption, and organizational readiness
• Partner with client leadership to sequence rollout phases, manage dependencies, and demonstrate ROI

Quality, Governance & Evaluation

• Set lightweight evaluation routines: accuracy metrics, latency benchmarks, cost tracking, quality assurance processes, and continuous improvement cycles
• Establish prompt/playbook management, basic safety/guardrail checks, and UAT plans
• Build governance frameworks that enable responsible, scalable AI adoption across organizations
• Implement monitoring systems that track performance, usage, and business impact

Stakeholder Management & Enablement

• Lead standing client check-ins, executive presentations, demo readiness, decision logs, and release notes, presenting succinct options and recommendations
• Create comprehensive enablement materials: user guides, FAQs, training programs, and governance playbooks that empower client teams to operate AI systems independently
• Build lasting client relationships through proactive communication, anticipation of needs, and consistent delivery quality
• Present to executive audiences with clarity and confidence, addressing concerns about accuracy, security, and adoption

Operations & Project Management

• Design and continuously improve the operating system for AI work: intake → triage → prioritization → delivery → QA → launch → measurement
• Manage staffing assignments and subcontractor contributions across concurrent workstreams; keep tools current (Asana/Notion, Google Workspace, Slack)
• Budget & scope control: track time against SOWs, flag changes early, manage vendors, and ensure on-budget delivery with clear documentation
• Establish shared dashboards for delivery health (timeline, risk, burn, dependency status) and run tight meeting cadences

Communications & Reporting

• Prepare agendas, briefings, and executive-ready presentations; synthesize complex information into actionable insights
• Provide clear, timely reporting to the Managing Director of AI and stakeholders on progress, risks, and decisions
• Contribute to Human Agency's AI thought leadership through documentation of best practices, case studies, and insights

Who You Are

Experience & Skills

• 5-7+ years in operations, client services, product/program/project management, strategic support, consulting, or transformation roles with direct ownership of client-facing delivery
• Demonstrated success leading multi-stakeholder projects and organizational change initiatives end-to-end (scope, timelines, budgets, risk, and change management)
• Deep AI fluency: hands-on experience implementing LLM-enabled solutions, prompt engineering, workflow automation, and knowledge management systems; can shape prompts/playbooks, evaluate quality, and choose appropriate tools or vendors
• Strong understanding of AI capabilities and limitations, when to use AI, how to design for reliability, and how to manage risks responsibly
• Proven ability to design repeatable processes and systems that scale beyond individual projects
• Experience with no/low-code automation platforms (e.g., Zapier/n8n), knowledge bases, and modern AI tooling
• High proficiency with Google Workspace, Asana/Notion, Slack, and comfort with modern web and content tools; experience preparing polished executive documents and presentations
• Exceptional ability to translate complex technical concepts into clear business value for non-technical audiences
• Bonus: Experience leading organizational-level technology rollouts, background in management consulting, familiarity with responsible AI considerations (privacy, data handling, consent, bias mitigation), or experience in AI/ML product development

Mindset & Traits

• Builder and operator: You design systems that work without constant oversight, not just execute tasks
• Strategic and tactical: Comfortable setting vision while rolling up sleeves for hands-on implementation
• AI pragmatist: Excited about possibilities but grounded in what actually delivers measurable value
• Mission-driven; systems thinker with bias for action
• Clear, persuasive communicator who can influence executive stakeholders and earn trust through delivery
• Calm under pressure with excellent judgment about when to escalate vs. solve independently
• Able to hold strategic context while driving tactical execution across multiple concurrent engagements
• Intellectually curious with strong learning agility, you stay current on AI capabilities and translate findings into practical applications
• Comfortable operating in ambiguity and creating structure where none exists

Considerations

• Education: Bachelor's degree or equivalent experience; an advanced degree in business, technology, or a related field is a plus
• Ethics: Commitment to ethical practices and responsible AI (transparency, human oversight, privacy, bias mitigation)
• Travel: Regular (20–40%) for client activities, organizational rollouts, and events
• Location: Remote-friendly with preference for candidates in major tech hubs

Compensation

This role offers a competitive base salary with performance-based bonuses and potential equity participation. Final compensation will vary based on experience, performance, and location.

Why Join Human Agency

Join a team of thinkers and builders creating meaningful impact across sectors—with autonomy to lead, the resources to succeed, and room to grow. This role offers the opportunity to shape how organizations integrate AI at scale, with clear pathways to increased leadership responsibility as our practice expands.

Equal Opportunity Commitment

Human Agency is an Equal Opportunity Employer. We value diverse backgrounds and strive to build an inclusive culture where everyone feels welcomed and empowered.

About the positions

We are seeking Senior PMIS Solutions Architects to lead the strategy, design, and delivery of advanced Project Management Information Systems (PMIS) for large-scale, heavy-civil infrastructure programs across highways, roads and bridges, transit (bus and rail), aviation (international airports), and/or water sectors. These roles are highly client-facing and solution-oriented, responsible for defining system architecture and integration strategy, leading development teams, and serving as a trusted technical advisor to clients and program leadership. The Senior PMIS Solutions Architects drive innovation through modern PMIS platforms and AI-enabled technologies, taking a holistic approach to ensure seamless connectivity between PMIS, enterprise systems, and project controls processes.

This post is for future roles and not for a specific opportunity that is available right now. We accept applications and conduct interviews in advance of upcoming hiring needs. When a candidate is selected, their profile is activated in our talent pool for this specialty area. We notify our talent pool candidates first whenever we have a project need. This post targets the Phoenix, AZ region. The work arrangement can be remote; however, there will be some onsite and travel requirements.  

Responsibilities may include, but are not limited to, the following:

• Define and lead PMIS architecture strategy and design for complex, large-scale infrastructure programs.
• Accountable for aligning PMIS architecture with program delivery requirements across multiple contracts, stakeholders, and project controls systems within complex, multi-contract program environments.
• Serve as the primary technical advisor to clients and program leadership, ensuring alignment between PMIS solutions and business objectives.
• Lead and mentor development teams, providing technical direction and oversight for the delivery of scalable, secure, and innovative PMIS solutions.
• Develop and drive integration strategies across PMIS, ERP systems, scheduling platforms (e.g., Primavera P6), financial systems, and document management platforms.
• Drive alignment between PMIS architecture and project controls data structures (e.g., WBS, CBS), ensuring integration of cost, schedule, and financial data across systems.
• Establish and enforce standards for system configuration, data governance, and security compliance across the program.
• Ensure interoperability, data consistency, and alignment across all integrated systems.
• Translate complex business and project controls requirements into architecture frameworks, system designs, and scalable technical solutions.
• Leverage AI-enabled technologies to enhance PMIS capabilities, including predictive analytics, automated workflows, and intelligent reporting.
• Identify and evaluate opportunities for machine learning, natural language processing, and data-driven insights to improve project delivery.
• Conduct client workshops, solution demonstrations, and executive-level presentations for stakeholders.
• Drive adoption of best practices supporting project controls functions, including cost management, scheduling, and risk mitigation.

Skills and Attributes

• Relationship-focused, able to build trust and credibility with clients, partners, and internal teams alike. 
• Skilled communicator and negotiator, comfortable influencing executive-level stakeholders internally and externally. 
• Decisive, adaptable, and resilient in a dynamic, fast-paced, and politically complex industry with the innate ability to adjust focus when legislation, funding streams, or delivery models shift.
• Well organized and detail-oriented with a focus on quality.
• Natural curiosity, problem-solving abilities, and a passion for continuous improvement. 

Minimum Qualifications

• Bachelor’s degree in Engineering, Construction Management, or related field or equivalent combination of education/experience. 
• 15+ years of experience in PMIS architecture, design, and implementation for large-scale, heavy-civil infrastructure programs (e.g., highways, roads and bridges, transit (bus and rail), aviation (international airports), and/or water sectors), including complex, multi-contract delivery environments.
• Proven experience in client-facing roles, serving as a technical advisor and leading technical or development teams.
• Strong understanding of project controls processes and enterprise system integration across cost, schedule, and financial systems.
• Experience defining solution architecture, workflow design, and integration strategy for PMIS platforms.
• Experience leading integration of PMIS with scheduling systems (e.g., Primavera P6), ERP platforms, financial systems, and document management systems.
• Experience aligning PMIS architecture with project controls frameworks, including integration of cost, schedule, and financial data.
• Familiarity with AI-enabled technologies and their application within PMIS or project delivery environments.
• Advanced knowledge of PMIS platforms such as Oracle Primavera Unifier, Kahua, and Procore.
• Proficiency with Microsoft Office Suite/Office 365 (e.g., Outlook, Word, Excel, PowerPoint, Teams, etc.).

Preferred Qualifications

• Experience working within government or public-sector infrastructure programs, including familiarity with procurement and compliance frameworks.
• Experience supporting multi-contract, program-level delivery environments exceeding $500M in value.
• Experience configuring or administering enterprise PMIS platforms (e.g., Unifier uDesigner, Kahua configuration, or similar).

Compensation Details 

Expected Salary: $160k-$200k/year ($76-$96/hour). Luster provides the salary range that the company in good faith believes it might offer for this position based on the successful candidate’s level of experience, knowledge, skills, abilities, education, certifications, licenses, geographic location, etc. Luster reserves the right to ultimately pay more or less than the posted range depending on circumstances not related to any status protected by local, state, and/or federal law.

Just LOOK at the Benefits We Offer! 

• Unlimited flexible time off  
• Paid holidays  
• Paid parental leave  
• Health, dental, and vision insurance  
• Flexible spending accounts (healthcare and dependent or elder care)  
• Long-term disability insurance  
• Short-term disability insurance  
• Life insurance and accidental death and dismemberment 
• 401(k) plan with guaranteed employer contribution  
• Formal career planning and development program  
• $2,500 annually toward professional development  
• Wellness program with monthly wellness stipend  
• Company cell phone or cell phone plan reimbursement  
• Free personalized meal planning and nutrition support with a registered dietitian  
• Free personal financial planning services  
• Employee assistance program  
• Employee discounts  
• Employee referral bonus 

Specific plan details and coverage for each benefit noted above will be provided upon offer. #IN-LNJS

Job Description

The Senior Vice President Information Technology, Enterprise Data and AI is responsible for building and scaling a product-grade, enterprise data and AI platform that accelerates business outcomes. This leader sets the vision and drives execution across data engineering, analytics, and AI, partnering closely with Product, Engineering, and Business leaders to embed data and intelligence directly into products, workflows, and decision-making.

This role balances strategic leadership with hands-on technical depth, operating with a strong bias toward delivery, platform reliability, and customer.

Responsibilities

Product-Led Data & AI Strategy

• Define and own the enterprise data and AI product vision, roadmap, and operating model aligned to company strategy.
• Treat data platforms, analytics, and AI capabilities as products with clear customers, SLAs, adoption metrics, and ROI.
• Partner with Product and Engineering leaders to embed analytics, ML, and GenAI into core products and internal platforms.

Data Platforms & Engineering Excellence

• Lead the design, build, and operation of scalable, cloud-native data platforms, including ingestion, transformation, lakehouse/warehouse, streaming, and BI layers.
• Establish engineering standards for data quality, reliability, security, performance, and cost efficiency.
• Drive modernization from legacy systems to modern data architectures, balancing speed, resilience, and technical debt reduction.

Analytics, AI & ML Enablement

• Enable teams to deliver production-ready analytics, ML, and AI solutions that solve real customer and business problems.
• Establish pragmatic MLOps / AI operational practices to move from experimentation to repeatable value.
• Champion responsible, governed use of AI while accelerating adoption across products and teams.

Operating Model, Governance & Delivery

• Define DataOps / Software Development Life Cycle (SDLC) practices that align with product and engineering delivery models.
• Implement enterprise data and AI governance (quality, privacy, security, responsible AI) without slowing innovation.
• Own platform KPIs, including data quality, time-to-value, platform adoption, and cost management.

Leadership & Collaboration

• Build and lead high-performing teams across data engineering, analytics, and data science.
• Act as a hands-on leader when needed, unblocking teams, reviewing designs, and accelerating delivery.
• Drive alignment across Product, Engineering, Security, Legal, and Business stakeholders in a matrixed environment.

Required Qualifications

• 15 to 20 years of experience across data engineering, analytics, and AI, with senior leadership experience in product- or engineering-led organizations.
• Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or related field 
• Proven track record building and scaling enterprise data platforms as products in complex environments.
• Deep understanding of modern data architectures, cloud platforms, and analytics/ML systems.
• Demonstrated ability to translate business and product needs into shippable, reliable data and AI capabilities.

Preferred Qualifications

• Masters degree Computer Science, Software Engineering, Computer Engineering, or related field 
• Experience in Property Management or Multi-Family housing industry.
• Strong executive presence with the ability to influence, prioritize, and drive outcomes across teams.

Role overview

At ASM, the Software Engineering team works on delivering software that has immediate, tangible results visible in the operation of semiconductor processing equipment hardware. The hardware includes robotics, gas valves, temperature controllers and other hardware. Come join our team and have the opportunity to:

• Develop Advance software for cutting edge tech
• See your work have real results by driving the most advanced HW in the SEMI industry
• Work with a global team full of talented Software Engineers
• Solve complex problems using AI/ML/Advanced Algorithms/Data Science
• Be part to the team that leads the next generation of SEMI manufacture control Software technology and trends
• Travel globally and visit major chip makers FAB sites
• Work in Phoenix, the heart of the next SEMI tech hub

Note: This role is intended for candidates who are graduating in Spring 2026 or have graduated within the past two years and have 0–2 years of professional work experience.

Responsibilities

• Design, develop, test, deploy, maintain and improve software for our semiconductor manufacturing equipment
• Developing for Windows and Windows Real-time Operating Systems
• Troubleshoot and resolve computer software issues, including real-time software control systems
• Able to triage mechanical, electrical and software bugs
• Responsible to manage escalation calls with field support engineers and customers at a national and global level
• Work with QA / Support team to add replicated bugs to regression
• Author, revise, and review system specifications, software designs, test plans, and other software documentation.
• Investigate both internal and external inquiries, questions and problem reports. Offer problem analysis, solutions, or alternatives as a result of these investigations.
• Evaluate software engineering tools.
• Participate in system design teams.
• Travel to customer sites to support installations, training, and troubleshooting of ASM products.
• Develop schedules for software development efforts.
• Provide engineering solutions to resolve all software issues
• Evaluating new software and hardware tools for possible department use

Minimum Qualifications

• Strong software development skills in C++ 
• 1+ years’ experience as a generalist or mid-stack software development with a Bachelor's degree OR recently graduated with Masters degree in Computer Science, Computer Engineering or Computer Systems
• Graduating in Fall 2025 or graduated within the past two years
• 0–2 years of professional work experience

Preferred Qualifications

• Strong software development skills in C++ and C#
• Educational background in Computer Science or Computer Systems
• Experience working with multiple items listed below
  • Software for Machine Control (including Semiconductor equipment) 
  • Developing for Windows and Windows Real-time Operating Systems
  • Multi-threaded applications
  • Real-time software
  • Graphical User Interfaces
  • Device drivers or other interrupt driven software preferred
  • Data Communications and Networking
  • Knowledge of programming tools such as text editors, debuggers, application builders and configuration management tools.
  • Ability to read code and understand the functionality implemented and the ability to translate the functionality into another piece of software
  • Comprehend software documentation including specification and design documents, communication interface specific and API description

The Role

As a Senior Full Stack Engineer, you will be a key leader across the entire software development lifecycle, from conceptual design to deployment and monitoring. You will be responsible for building robust, scalable backend services using Python and AWS Serverless technologies (Lambda, DynamoDB, SQS, EventBridge), developing event-sourced systems that provide complete state history and auditability.

A critical component of this role is a demonstrated fluency with modern AI/ML development tools (e.g., GitHub Copilot, Claude Code, agentic coding tools, large language models). We are looking for candidates who not only use these tools daily but can articulate a clear, thoughtful perspective on their limitations, security implications, and the strategic opportunities they create for the engineering profession.

Key Responsibilities

• Lead the design and implementation of highly scalable, cost-efficient serverless backend services using Python and AWS (Lambda, API Gateway, DynamoDB, SQS, EventBridge).
• Architect and build event-sourced systems and event-driven pipelines, ensuring reliable message processing, idempotency, and eventual consistency across distributed services.
• Collaborate with product managers and designers to translate requirements into technical designs and shippable code.
• Implement best practices for security, logging, monitoring, and infrastructure-as-code (e.g., Terraform or CloudFormation).
• Perform rigorous code reviews, mentor junior and mid-level engineers, and drive technical excellence across the team.
• Actively research, propose, and integrate new technologies and patterns, with a focus on optimizing development velocity and system performance.
• Clearly articulate a professional point of view on how to effectively, securely, and ethically integrate AI tools into the software development lifecycle.

Qualifications

Required

• 5+ years of professional experience in full-stack software development.
• Expert-level proficiency in Python for backend development.
• Strong working proficiency with Node.js.
• Deep practical experience designing, deploying, and maintaining applications using serverless architectures (preferably AWS Lambda, API Gateway, and managed services).
• Hands-on experience with DynamoDB, including single-table design patterns, GSI/LSI strategies, and performance optimization at scale.
• Solid understanding of event sourcing and event-driven architecture patterns, including experience with message brokers or streaming services (e.g., SQS, SNS, EventBridge, or Kinesis).
• Experience with CI/CD pipelines, automated testing, and Infrastructure-as-Code.
• Demonstrated Fluency in AI-Assisted Development: Candidates must be able to demonstrate practical, hands-on experience using AI-powered coding tools to achieve specific, quantifiable productivity gains, while also clearly understanding and mitigating the associated risks (e.g., code quality, security, IP concerns).

Nice to Have

• Experience with advanced AWS services (e.g., Kinesis, SageMaker, Step Functions).
• Familiarity with TypeScript for robust front-end or Node.js development.
• Proficiency with a modern front-end framework (e.g., React, Vue, or Angular).
• Experience working in a regulated or compliance-focused environment.
• A Bachelor’s or Master’s degree in Computer Science or a related technical field.

AI and the Evolution of Software Engineering & Ops

All candidates must be prepared to discuss and demonstrate the following during the interview process:

• Practical AI Tool Usage: Specific examples of AI tools used in professional or personal projects to enhance productivity, solve complex problems, or accelerate development. If you have a preferred agentic tool setup, please share!
• Understanding of AI Limitations: A clear understanding and articulation of the current technical, ethical, and accuracy limitations of modern AI tools in the engineering context.
• Strategic AI Opportunity: A viewpoint on how AI tools create new opportunities for software engineering, such as shifting focus from boilerplate code to complex problem-solving or architectural design.
• Evolution of the Engineering Role: A well-articulated point of view on how your role has already changed (e.g., new workflows, skills, ways of collaborating) due to the introduction of AI and how you expect the role to evolve in the coming years based on your assessment of coming advancements in AI tools and technologies.

Application Process

To apply, please submit your resume and a cover letter. Your cover letter should be informed by the “AI and Forward-Looking Requirements” section above.

The hiring process includes:

• Initial screening email
• A Technical Assessment Interview
• A Panel Interview

Salary Range $140,000 - $175,000

WHAT WE DO

Our Data and Analytics consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives. We’re known for making realistic, data-driven decisions that deliver value in tangible ways to our clients. Our clients ask for us on projects that require a superior combination of technical and business capabilities, people and management skills, and a collaborative mindset. We excel in understanding complex programs and strategic initiatives and breaking them into actionable pieces.

We are actively looking for professionals in the following areas:

• Data Strategy
• Data Governance
• Data Modernization
• Advanced Analytics
• Data Visualization

The ideal candidate’s experience may include but is not limited to the following:

• Have experience understanding and solving real business problems
• Have experience with presenting business case and strategy to the C-Suite
• Bring industry domain knowledge for custom data and analytics strategies
• Experience in designing and implementing data driven products and services
• Experience in designing and building high performance collaborative business and technology teams that deliver high value data solutions, data products and data analytics

Ideal candidates may call themselves Data Architects, Data Engineers, Data Scientists, Analysts and Data Governance professionals. Experience may include but not limited to the following:  

Data Strategy and Governance

• Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements.
• Proven experience in transforming our clients from on-prem data platforms to the cloud.
• Lead data modernization initiatives that include platform, technology and tools implementation and adoption.
• Must have experience in architecting and implementing data architecture, data engineering, reporting and analytical solutions across multiple business functions and domains.
• Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
• Demonstrate a rigorous and analytical problem-solving approach, leading information-gathering sessions and preparing and delivering client presentations and work products/prototypes.
• Identify data governance gaps and assess data governance maturity in a complex data environment. Should also be able to Identify the implications for data governance that arise from the technology, current processes, and skill levels in a complex data environment.

Data Architecture and Engineering

• Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
• Experience designing and building data platforms that support data lakes, data stores, data ingestion and transformations and API services for consuming data
• Ability to design and build complex data pipelines that either stream data in
• Experience and knowledge of programming and scripting languages, such as but not limited to Python, Node.JS and SQL
• Experience and knowledge of data integration tools and platforms
• Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
• Ability to design and build data models using the appropriate technics to meet business objectives
• In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.

Advanced Analytics and Data Visualizations

• Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire
• Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods
• Experience and knowledge of programming and scripting languages such as, but not limited to, SQL, Python and R
• Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep
• Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
• Experience deploying enterprise-wide reporting solutions while leveraging data visualization best practices

A career at SEI extends well beyond providing great service and thought leadership to our clients. Everyone takes an active role in building and managing our business, in an environment that runs counter to traditional consulting firms. Our consultants have a “seat at the table” and contribute to growing our business in ways that align to their interests such as growing business development opportunities, conducting interviews to support our hiring process, managing internal initiatives that build our brand or organizing trainings to share what you know with your colleagues. There is no telling what an SEI Consultant will be asked to do on a day-to-day basis – we do what it takes to get the job done.

QUALIFICATIONS

Required-

• Alignment to our core values: Excellence, Participation, Integrity and Collaboration
• Hungry, Humble, Smart
• Demonstrated business and technology acumen
• Strong written and verbal communication skills
• Understanding and experience solving real business problems
• Proven track record of delivering results
• Experience working with and/or leading a team
• Ability to work across industries, roles, functions & technologies
• Authorization for permanent employment in the United States (this position is not eligible for immigration sponsorship)

Preferred-

• Bachelor’s degree
• 8+ years professional experience
• Experience across our service offerings

The Company collects and uses Personal Information for human resources, employment, benefits administration, and business-related purposes.  To comply with our regulatory obligations under the California Consumer Privacy Act (“CCPA”), the Company is required to notify you of the Personal Information we collect.  To access our CCPA Policy including the categories of Personal Information we collect and the purposes for which we intend to use this information, please visit SEI's Privacy Policy.