Academic Urology & Urogynecology of Arizona (AUUA) is seeking a Board Certified/Board Eligible Urologist to join our busy, hospital-focused practice in the greater Phoenix area. This position is ideal for a highly motivated physician who enjoys inpatient urology, complex cases, and working across multiple hospitals in a fast-growing metro ranked as the 5th largest city in the United States.​

Position Highlights

• Inpatient-only, urology hospitalist role with optional clinic/outpatient opportunities if desired.​

• 8 or more (up to 26) weekend call shifts per year (Friday 1:00 p.m. – Monday 8:00 a.m.).

• Coverage of approximately 3–7 hospitals per weekend, supported by 1–2 APPs and robust clinical staff.​

• All licensing and credentialing fees fully covered by the practice.

About Academic Urology & Urogynecology of Arizona

Founded in 2008, AUUA is a regional leader in advanced urologic and urogynecology care, offering state-of-the-art treatments for conditions of the prostate, bladder, kidneys, and pelvic floor. Our fellowship-trained specialists manage complex problems including vaginal prolapse and prostate cancer, utilizing minimally invasive and robotic techniques to optimize outcomes and quality of life.​

The practice is known as a destination for referring physicians and patients in and around Phoenix, particularly for:

• Robotic surgery (prostate and kidney cancer, sacrocolpopexy)

• Advanced therapies for incontinence, BPH, and erectile dysfunction

Clinical Team & Services

You will join a large, collegial group that includes:

• Urology: Jeffrey Stern MD FACS, Aaron LaTowsky MD, David Kaplan MD, Chandan Kundavaram MD, John Mai MD, Amy Schlaifer MD, Joshua Jones MD, Oliver Ko MD

• Urogynecology: Jennifer Klauschie MD, Keri Wong MD, Hemikaa Devikumar MD, Christina Rogers DO

• 12+ Advanced Practice Providers supporting inpatient and outpatient care

Areas of expertise include, but are not limited to:

• Prostate cancer, Da Vinci robotic surgery, GreenLight laser, vasectomy

• Incontinence and female vaginal prolapse

• Erectile dysfunction

• Laparoscopic nephrectomy

• ThermiVa, Rezum, Urolift and other advanced BPH/pelvic health therapies​

Role Expectations

The Urology Hospitalist will:

• Provide inpatient weekend coverage and round on hospitalized urology patients.​

• See post-operative patients, manage inpatient consults, and perform urologic surgeries/procedures.​

• Collaborate closely with APPs and the broader AUUA team to deliver high-quality, evidence-based care.​

Clinic/outpatient sessions can be incorporated based on interest and group needs.

Candidate Profile

• Board Certified or Board Eligible in Urology

• Open to new graduates and experienced physicians

• AMG or IMG candidates welcome

• Interest in contemporary, technology-forward urologic care and complex inpatient management

If you are looking to practice inpatient urology in a high-growth market, with strong APP support and the backing of a large, specialized group, AUUA would welcome a conversation about this opportunity.

#LI-KG1

At Armis, our Solutions Consultants serve as the linchpin of every prospect engagement. Working closely with our prospects to demonstrate the value of the Armis agentless platform via console demonstrations, proof-of-value deployments, and targeted training sessions.

What you'll do...

Work closely with our prospects to:

• Provide virtual and in-person technical demonstrations
• Deploy proof-of-value installations
• Lead technical training sessions based on POV findings
• Support marketing activities, conferences, speaking engagements
• Consistently and cogently address our prospects needs through astute verbal and written communication skills
• Thrive in a team-oriented culture through delivering a significant individual contribution while collaborating with and strengthening teammates
• Think critically, spanning the sales process through customer support, troubleshooting, and developing new use cases for internal and external consumption.
• Develop prospect facing documentation
• Expected to travel up to 40% of the time on average (can vary by region)

Education:

• BS degrees in computer science, MIS, or equivalent experience required

Experience:

• 5+ years experience in technical positions required (SE, Pre-Sales Engineer, Solutions Architect) ideally for a Cyber Security vendor
• 5+ years of experience in customer-facing or customer support positions
• Solid understanding of networking concepts and technologies
• A demonstrated track record of taking ownership of complex initiatives and producing successful outcomes
• Experience closing complex cyber security SaaS solutions with Enterprise Customers and supporting Sales AE's / RSM's.
• Background in healthcare or experience covering healthcare/clinical vertical is a major plus

Knowledge in one or more of the following:

• IoT, OT, IoMT
• Wireless technologies (WLCs, Meraki, Aruba, etc.)
• Linux Operating Systems
• Virtualized environments
• Network knowledge
• Utility Scripting (Python preferred)

ABOUT BEZOS ACADEMY

At Bezos Academy, we believe all children deserve the great start that excellent early education provides, including in under-resourced communities. Our mission is to nurture the potential in every child to become a creative leader, original thinker, and lifelong learner by inventing the solutions needed to scale early childhood education. We are a unique organization that realizes our mission in two ways. First, we operate a multi-state network of schools in under-resourced communities, offering quality Montessori-inspired preschool at no cost to families. Second, we create tools, products, technology, and other solutions designed to reach young children and their caregivers well beyond the walls of our schools. We aspire to have a profound, large-scale impact on children ages zero to five. At Bezos Academy, we are committed to expanding access to play-focused preschool education in underserved communities, aiming to improve long-term educational, social, and developmental outcomes in ways that create meaningful and lasting impact.

ABOUT THE ROLE

As a Senior AI Applications Engineer at Bezos Academy, you will help build AI-powered software applications that support teachers’ abilities to deliver measurable results in early childhood education. As a hands-on, results-driven software developer, you will play a pivotal role in developing intelligent systems for teachers, staff and families with a small product development team. Your products will both thrill and delight their users and enable our national school network to nurture young children’s originality, foster self-agency, cultivate a love for learning, and spark joy.

You have a proven track record of combining machine-learning models, high-quality data, and human-centered workflows into production-ready tools; you consistently deliver solutions that solve human problems. Resourceful throughout the software-development lifecycle—from research and prototyping to deployment, monitoring, and evaluation—you work effectively despite constraints on time and resources. In past roles, you have successfully launched AI-powered applications in collaboration with product-development teams. As a software engineer with a customer mindset, you take pride in applying practical AI workflows and sound software-engineering principles to build high-impact AI products. Adept at working from scratch, you navigate ambiguity, iterate quickly, and shape solutions that earn customer love. Hands-on experience with evaluations, inference validation, and AI guardrails has helped you strengthen the safety, performance, and ethics of AI features. You recognize exceptional work when you see it and instill that same passion in others.

In this role, you will focus on building, measuring, and iterating for children. Motivated equally by great products and great impact, you are deeply inspired by our mission to expand access to quality early childhood education and experiences.

LOCATION

• Washington, Arizona, Florida, Kentucky, or Texas, within two hours’ drive to multiple Bezos Academy preschools (please see our website for-school locations); Seattle, WA preferred.
• Relocation support is available for those willing to relocate to Seattle, WA

COMPENSATION AND BENEFITS

• This is a full-time, benefits-eligible, salaried position.
• The full salary range for this position, across applicable United States geographies, is $157,000 - $298,000 per year. The upper portion of the salary range is typically reserved for employees who have been in the role for multiple years and have demonstrated strong performance over time. Starting salary will vary by location, qualifications, and prior experience.
• This role includes 15 paid days of vacation, 4 days of paid personal time off, 9 paid days of sick (care) time, 9 paid holidays, 5 paid days off for an organization-wide winter break, and additional time off if required by applicable law. Benefits for this role include medical, dental, and vision insurance, life insurance, disability insurance, a 401(k) plan with a 4% employer contribution match, paid parental leave, an employer-matched flexible spending account for dependent care, and more. Please see here for details.

MINIMUM QUALIFICATIONS

• Bachelor’s degree or equivalent experience
• Eight or more years of experience developing and deploying full-stack applications, including two or more years working on AI-powered applications in production environments
• Proficiency in Python for backend development and integrating AI capabilities
• Working knowledge of TypeScript and SQL for full-stack development and data handling
• Experience integrating pre-trained foundation models, including large language models (LLMs) and multi-modal models, into production applications
• Familiarity with model evaluation techniques, such as prompt testing, output validation, and performance monitoring
• Experience with AWS services, especially those relevant to AI applications (e.g., Bedrock, Lambda, EC2, S3, RDS, DynamoDB)
• Understanding of AI safety practices, including inference validation, implementing guardrails, and handling personally identifiable information (PII) and sensitive data responsibly
• Ability to speak, read, and write English fluently
  

PREFERRED QUALIFICATIONS

• Experience with LangChain or similar frameworks for orchestrating LLM workflows and agentic behavior (e.g., tool use, planning, memory)
• Familiarity with AWS AgentCore
• Exposure to vector databases and embedding techniques, especially in retrieval-augmented generation (RAG) workflows
• Experience implementing AWS Bedrock Guardrails or similar safety mechanisms
• Understanding of LLM evaluation strategies, including prompt engineering and human feedback loops
• Experience with DevOps practices, including CI/CD pipelines, test automation, and infrastructure-as-code tools (e.g., AWS CDK)

Please click here for a full job description. 

Bezos Academy participates in E-Verify and will provide the federal government with employee Form I-9 Information to confirm authorization to work in the U.S. Bezos Academy only uses E-Verify once a candidate has accepted a job offer and completed the Form I-9. If E-Verify cannot confirm that an employee is authorized to work, Bezos Academy will give the employee written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so the employee can begin to resolve the issue before any adverse employment action is taken. For more information about your right to work, please see the Notice of Right to Work.

About the Team

DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last-mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you!

About the Role

You will lead the Service Operations team for the PHX market at DoorDash Labs. You will lead experienced and new technicians to maximize uptime, supporting our overall fleet utilization goals.  You will report to the Operations Manager, Service in our DoorDash Labs organization.  You must be located in the Greater PHX Area, AZ, and this is an onsite role with expectations of 100% in-office.

You’re excited about this opportunity because you will…

• Foster a safety-first approach to all things Service
• Lead a team of new and experienced technicians to maximize uptime of all Operations assets
• Work with Service Engineering on identified tooling/jig needs with field deployments of new platforms
• Track technician productivity to ensure we are good stewards maximizing our limited resources
• Ensure adherence to Service SOPs, including Work Order and Parts flow and management at local level
• Coordinate development of Service Technicians in supporting a career path within DoorDash Labs
• Track KPIs and explain variances
• Maintain accountability and uptime of all tools and equipment to support Service Operations

You may flex to nights or weekends to oversee and spot check the team and support the operation.

We’re excited about you because you have…

• 6+ years in service operations, field service, or technical operations
• 2+ years leading service technicians or field teams, with ownership of performance and execution
• Strong experience with work order systems and operational KPIs (MTTR, MTBF, throughput, SLA)
• Comfortable operating in fast-paced, ambiguous environments and driving results through others
• Experience scaling operations, launching new markets, or supporting infrastructure buildouts
• Experience in robotics, autonomous systems, electric vehicles, aircraft, or similar complex systems (preferred)
• Mobile/field service background (preferred)
• Familiarity with service platforms like MaintainX, JIRA, or similar (preferred)
• Exposure to technical environments (diagnostics, APIs, scripting, Python, GitHub) (nice to have)
• Believe in 1% improvement every day
• Valid U.S. drivers license required and a successful completion of MVR required

Who we are

About the role

More about Gatik

Founded in 2017 by experts in autonomous vehicle technology, Gatik has rapidly expanded its presence to Mountain View, Dallas-Fort Worth, Arkansas, and Toronto. As the first and only company to achieve fully driverless middle-mile commercial deliveries, Gatik holds a unique and defensible position in the AV industry, with a clear trajectory toward sustainable growth and profitability.

We have delivered complete, proprietary AV technology - an integration of software and hardware - to enable earlier successes for our clients in constrained Level 4 autonomy.  By choosing the middle mile – with defined point-to-point delivery, we have simplified some of the more complex AV challenges, enabling us to achieve full autonomy ahead of competitors. Given extensive knowledge of Gatik’s well-defined, fixed route ODDs and hybrid architecture, we are able to hyper-optimize our models with exponentially less data, establish gate-keeping mechanisms to maintain explainability, and ensure continued safety of the system for unmanned operations.

Visit us at Gatik for more company information and Careers at Gatik for more open roles.

Notable News

• Bloomberg: Autonomous Trucking Firm Gatik Inks Contracts Worth $600 Million
• Forbes: Hundreds’ Of Gatik Robot Delivery Trucks Headed For U.S. Roads
• Forbes:Gatik And Loblaw Announce Largest Commercial Deployment Of AV Trucks
• Forbes: Forget robotaxis. Upstart Gatik sees middle-mile deliveries as the path to profitable AVs
• Tech Brew: Gatik AI exec unpacks the regulations that could shape the AV industry
• Business Wire: Gatik Paves the Way for Safe Driverless Operations (‘Freight-Only’) at Scale with Industry-First Third-Party Safety Assessment Framework
• Auto Futures: Autonomous Trucking Group Gatik Secures Investment From NIPPON EXPRESS HOLDINGS
• Automotive News: Gatik foresees hundreds of self-driving trucks on road soon, and that's just the beginning
• Forbes: Isuzu And Gatik Go All In To Scale Up Driverless Freight Services
• Bloomberg: Autonomous Vehicle Startup Takes Off by Picking Off Easier Routes
• Reuters: Driverless vehicles on limited routes bump along despite US robotaxi scrutiny

Taking care of our team

At Gatik, we connect people of extraordinary talent and experience to an opportunity to create a more resilient supply chain and contribute to our environment’s sustainability. We are diverse in our backgrounds and perspectives yet united by a bold vision and shared commitment to our values. Our culture emphasizes the importance of collaboration, respect and agility.

We at Gatik strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that together we can do great things. We are committed to an inclusive and diverse team. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

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.

Lucid Motors is seeking a Senior SQA and Test Infrastructure Development Engineer to help build the next generation of test, automation, and validation systems that power our in‑vehicle compute platforms, embedded controllers, and advanced driver‑assistance technologies. You will play a key role in ensuring that Lucid’s software and hardware meet the highest standards of safety, reliability, and performance—supporting everything from firmware development to large‑scale automotive validation.

This role sits at the intersection of DevOps, embedded systems, and automotive test engineering, enabling fast, safe, and scalable development for the world’s most advanced electric vehicles.

What you’ll be doing

• Architect and maintain DevOps pipelines and test automation infrastructure optimized for automotive and embedded development workflows, including cross‑compilation, ECU flashing, and hardware‑in‑the‑loop (HIL) validation
• Build internal tools and services that streamline embedded software testing, firmware deployment, and continuous integration for safety‑critical systems
• Collaborate with Embedded Software, Vehicle Integration, and Test Engineering teams to design scalable test environments for Lucid’s in‑vehicle compute modules and real‑time embedded platforms
• Implement containerized and cloud‑native systems using Docker and Kubernetes to orchestrate distributed test execution across lab and cloud resources
• Integrate automotive‑specific workflows into CI/CD systems, including static analysis, MISRA compliance, traceability, and automated regression testing
• Develop monitoring, logging, and diagnostic tools to ensure high availability and performance of embedded test infrastructure
• Support and extend test frameworks used for ECU validation, vehicle‑level testing, and manufacturing test

What we need to see

• BS/MS in Computer Science, Electrical Engineering, Computer Engineering, or related field
• 5+ years of experience in DevOps, embedded test infrastructure, or automation tooling
• Strong proficiency in Python and experience with frameworks such as Flask or Django
• Experience with embedded Linux, cross‑compilation, and deploying applications to embedded targets
• Familiarity with automotive communication protocols such as CAN bus, or Automotive Ethernet
• Experience with HIL/SIL systems, embedded test benches, or automotive validation environments such as vector Tools
• Proficiency with version control systems such as GIT or GitLab
• Strong Linux knowledge—deployment, debugging, system monitoring, and automation
• Familiarity with bash scripting and Linux‑based automation workflows

Ways to stand out from the crowd

• Background in deploying or maintaining embedded test automation systems, including HIL rigs or ECU validation setups
• Experience with real‑time operating systems (RTOS) or embedded firmware development
• Exposure to manufacturing test environments for automotive ECUs, embedded boards, or in‑vehicle compute modules
• Familiarity with cloud platforms (AWS, Azure, GCP) and infrastructure‑as‑code tools such as Terraform or Ansible
• Passion for building robust CI/CD pipelines and developer‑facing infrastructure for embedded systems

Bonus Qualifications – Agentic AI Tools & Intelligent Automation

Lucid is increasingly leveraging agentic AI systems to accelerate development, automate complex workflows, and enhance test intelligence. Experience with any of the following is a strong plus:

• Building or integrating AI‑driven DevOps agents for automated debugging, test generation, or pipeline optimization
• Experience with LLM‑powered tools for code analysis, anomaly detection, or automated documentation
• Familiarity with AI‑assisted test case generation, including reinforcement‑learning‑based or model‑based testing
• Experience using or developing autonomous agents that interact with CI/CD systems, embedded hardware, or cloud infrastructure
• Knowledge of AI‑driven observability platforms for predictive monitoring, log intelligence, or automated root‑cause analysis
• Understanding of agent orchestration frameworks such as LangChain, LangGraph, or similar tools
• Experience integrating AI agents with automotive workflows such as ECU flashing, HIL orchestration, or embedded diagnostics

About the Role

Our Product Pricing & Monetization team sits at the intersection of product and commercial strategy, responsible for holistic pricing and packaging across Gusto's full product suite.

We're looking for a Senior Pricing and Monetization Manager to focus across our platform. portfolio including Gusto Payroll, Gusto Time management and HR, and our suite of embedded financial services for employers and employees. You'll collaborate closely with product, sales, marketing, data, engineering, and finance, with work that is visible to Gusto leadership.

What You'll Do

• Work in partnership across Product, Finance, Marketing, and Go-to-Market to review and recommend monetization and pricing strategies for new product launches and our existing portfolio.
• Be a world-class operator, owning and delivering on cross-functional projects and commercial go-to-market initiatives. In an AI-native environment, strategy, ownership, and execution goes broad. You will be asked to learn, adapt and grow your range of expertise.
• Help shift from a commercial strategy and operations function, to an AI-powered builder program. You’ll ship MVPs, Proof of Concepts, and pilots right into market.
• Decide, Build, and Monitor the key Pricing and Monetization KPIs across our product and go-to-market portfolio.
• Be the pricing and monetization expert and go-to-partner for Monetization and Commercial strategy.
• Work closely with key stakeholders such as: Product, Product Marketing, Sales, Data Science, and Finance. Products will have direct executive line-of-sight and direct impact to our product and business.

What We're Looking For

• Background in fintech, business banking, retirement, E-commerce, payroll, or HR back office SaaS
• Background in B2B / B2C Saas in Payroll, HR, Fintech, ECommerce or related field.
• An AI-native operator who can go from strategy to execution quickly, building Agents instead of processes. You’ll be an expert in Claude.ai, Claude Code, and Cursor.
• A strong analytical mindset with strong attention to detail and creative problem-solving ability. Able to use AI tools to conduct end-to-end technical data analysis.
• Executive relationship management and communication. You’ll be presenting and working on topics for our executives, board, and senior leaders across Gusto.
• Exceptional cross-functional stakeholder management and relationship-building skills. Your success will be defined by your ability to move a broad set of stakeholders towards a common goal.
• Clear, concise communicator, able to distill complex ideas for any audience
• Thrives in fast-moving environments; able to pivot quickly and manage competing priorities
• Curious, growth-oriented, and genuinely passionate about pricing

Nice to Have

• Experience developing and delivering pricing and go-to-market recommendations in product, marketing, finance, or consulting.
• Experience with technical pricing research, like conjoint or max diff analysis, or other quantitative research techniques. 
• Expertise in technical data analysis skills, like SQL, Python or R. Expect underlying foundation coupled with ability to use AI to execute.
• Familiarity with the latest AI tools to help with coding or data analytics tools such as Claude, Cursor, Gumloop

Compensation

Our cash compensation amount for this role is targeted at $152,000 - $180,000/yr in Denver, Phoenix, and Atlanta, and $180,000 - $218,000/yr for San Francisco & New York. The salary range for Toronto is CAD 133,000 - 160,000. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

#LI-Hybrid

Job's Mission:

As a Software Quality Assurance Engineer at ASM, you will ensure the reliability and effectiveness of our software that drives cutting-edge semiconductor processing equipment. You’ll work on testing and qualifying software, streamlining QA processes to align with CI/CD development, and collaborating with talented global teams. Your contributions will directly impact the functionality and performance of advanced hardware in the semiconductor industry.

What you will be working on:

• Design, develop, test, deploy, maintain, document, and improve software test suites.
• Perform both manual and automated testing in simulation environments and on physical semiconductor manufacturing equipment.
• Execute and analyze the functionality of engineering designs compared to intended outcomes, providing valuable feedback.
• Automate, streamline, and maintain QA processes to integrate seamlessly with CI/CD development workflows.
• Develop and implement quality standards, methods, and procedures to enhance existing business processes.
• Work closely with Process Engineering teams to test systems, validate engineering designs, and identify quality improvements.
• Create and manage tests plans and test cases, ensuring thorough validation of software enhancements and defect fixes.
• Gain an understanding of ASM system operations, including mechanical, electrical, and software functionality.
• Document testing procedures and feedback to ensure quality and consistency across projects.

What we are looking for:

• Bachelor’s + 5 years of experience, Master's +3 years OR PhD + 2 years of experience. Degree in Computer Science, Computer Engineering, or a related field.
• Proficiency in programming languages such as Python, C++, or C#.
• Experience with system quality assurance or engineering for complex electromechanical equipment with integrated software controls.
• Strong written and verbal communication skills for interacting with senior leadership and stakeholders.
• Willingness to travel up to 10% of the time.

What sets you apart

• Familiarity with tools like Jira, Confluence, Git, Test Complete, or TestRail.
• Experience in software configuration management or versioning in a software development environment.
• Knowledge of DevOps and CI/CD pipeline setup.

Engineer, Software Support

At ASM, our Software Engineering teams 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.  

As a Software Support Engineer, you will make an impact by investigating, recreating, and troubleshooting software issues to resolution as reported by our customers. 

Responsibilities:

• Gather information to investigate the issue, reproduce it, determine the root cause, and recommend corrective actions. 
• Troubleshoot and resolve software issues, including embedded software for control systems.  Able to triage mechanical, electrical, and software bugs. 
• Responsible for managing escalation calls with field support engineers 
• Create bug reports for the developer to use when fixing the bug. 
• Work with QA to add replicated bugs to the regression. 
• Travel to customer sites to support installations, training, and troubleshooting of ASM products. 
• Talking to the account team and GPS group (not directly with the customer) when investigating reported issues. 
• The team will handle all issues until they are ready to send to the developer.  

Minimum Qualifications 

• BS+ 4 years experience or MS+ in Computer Science, Computer Engineering, or a related field. 
• Ability to read code and diagnose issues.  
• Software development or test (QA) experience. 
• Ability to travel 10-25% domestic and international.

Preferred Qualifications 

• Preferred expertise in C/C++, C#, Python, Gitlab/Github.
• Experience with semiconductor equipment preferred 
• Experience working with two or more of the following is preferred: software for machine control, Semiconductor Factory Automation, Multi-threaded applications, real-time software, device drivers, or other interrupt-driven software 

Senior Engineer, Software Support

At ASM, our Software Engineering teams 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.  

As a Senior Software Support Engineer, you will make an impact by investigating, recreating, and troubleshooting software issues to resolution as reported by our customers. 

Responsibilities:

• Gather information to investigate the issue, reproduce it, determine the root cause, and recommend corrective actions. 
• Troubleshoot and resolve software issues, including embedded software for control systems.  Able to triage mechanical, electrical, and software bugs. 
• Responsible for managing escalation calls with field support engineers 
• Create bug reports for the developer to use when fixing the bug. 
• Work with QA to add replicated bugs to the regression. 
• Travel to customer sites to support installations, training, and troubleshooting of ASM products. 
• Talking to the account team and GPS group (not directly with the customer) when investigating reported issues. 
• The team will handle all issues until they are ready to send to the developer.  

Minimum Qualifications 

• BS+ 8 years or MS+ 4 years in Computer Science, Computer Engineering, or a related field. 
• Ability to read code and diagnose issues.  
• Software development or test (QA) experience. 
• Ability to travel 10-25% domestic and international.

Preferred Qualifications 

• Preferred expertise in C/C++, C#, Python, Gitlab/Github.
• Experience with semiconductor equipment preferred 
• Experience working with two or more of the following is preferred: software for machine control, Semiconductor Factory Automation, Multi-threaded applications, real-time software, device drivers, or other interrupt-driven software 

About the Role

The Revenue Operations team at Gusto is a full-stack team responsible for data, analytics, and operational excellence in pursuit of scaling our revenue growth. The Go-To-Market Analytics team is one functional area, responsible for defining and owning the metrics for scaling our Sales teams. 

Gusto is looking for a Revenue Analytics Engineer to build and maintain foundational data infrastructure that is crucial to growing and scaling our Sales efforts. In this role, you will partner with our GTM analysts to scope and deliver data products for an audience ranging from company and revenue leadership to operational and frontline sales. In doing so, you will own significant portions of our sales data from end-to-end, focusing on the transformation, design, and visualization workflows. In addition, you will establish best practices for systems design and workflows to maximize usefulness of AI at scale. 

This role will report to the Head of Go-To-Market analytics, and partner closely with Data Science, Data Platform, and Business Technology teams. 

Here’s what you’ll do day-to-day:

• Establish relationships with internal stakeholders to determine business needs, scoping and delivering solutions through data products
• Design, build, and maintain data pipelines and dashboards to automate “keep the lights on” work out of manually-managed processes
• Build a data foundation by incorporating business logic into raw data tables, laying the groundwork to enable value-add insights
• Create a dynamic reporting environment based on stakeholder needs
• Identify data discrepancies and set best practices for data logic to create a clean and well-documented environment
• Collaborate with broader data organization as steward to the definition and process management of core Gusto metrics

Here’s what we're looking for:

• Education or work experience in Engineering or Computer Science, or a related technical field 
• 7+ years of experience in an analytics engineering, business intelligence, or technical data analytics role
• Experience with SQL and ETL optimization techniques, especially within cloud-based data warehouses like Redshift, Snowflake, etc.
• Command-line experience and familiarity with version control collaboration tools (git)
• Experience with data pipeline management technologies with dependency checking, such as Airflow, as well as schema design and data modeling tools (dbt)
• Experience with data visualization technologies, e.g., Tableau, Looker, Sigma, Mode, Hex
• Experience with Python and data ingestion tools
• Ability to problem-solve open-ended problems and project manage dependencies and timelines to optimal outcomes
• Ability to demonstrate tools, business intuition, and attention to detail for data validation and QA 

Our cash compensation amount for this role is targeted at $138,000-156,000 in Denver & most remote locations, and $168,000-189,000 in New York & San Francisco Bay Area. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

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

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

Supervisor Engineer (team lead), Software Support

At ASM, our Software Engineering teams 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.  

As a Supervisor Engineer, Software Support, you will make an impact by investigating, recreating, and troubleshooting software issues to resolution as reported by our customers. 

Responsibilities:

• Oversee the day-to-day operations of the support team, including task assignment, workload distribution, and monitoring punctuality and backlog management.
• Act as the final point of contact for complex or high-priority customer escalations, ensuring timely and effective resolution.
• Provide coaching and professional development for staff, identifying training needs and creating individualized development plans.
• Gather information to investigate the issue, reproduce it, determine the root cause, and recommend corrective actions. 
• Guide your team members to create bug reports for the developer to use when fixing the bug. 
• Travel to customer sites to support installations, training, and troubleshooting of ASM products. 
• Talking to the account team and GPS group (not directly with the customer) when investigating reported issues. 

Minimum Qualifications 

• BS+ 8 years or MS+ 4 years in Computer Science, Computer Engineering, or a related field. 
• Proven ability to motivate, inspire, and foster a collaborative team culture.
• Strong troubleshooting skills in hardware and software, with familiarity data structure, networking, algorithm and modern operating systems (Windows).
• Software development or test (QA) experience. 
• Ability to travel 10-25% domestic and international.

Preferred Qualifications 

• Preferred expertise in C++, C#, Python, Gitlab\Github.  
• Experience with semiconductor equipment preferred 
• Experience working with two or more of the following is preferred: software for machine control, Semiconductor Factory Automation, Multi-threaded applications, real-time software, device drivers, or other interrupt-driven software 

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 Fall 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 August/September 2026 and continue through November/December 2026. 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.  

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.

POSITION SUMMARY

We are seeking a skilled and motivated Field Engineer to join our team. In this hands-on role, you will serve as the critical link between our software engineering team and real-world deployment environments. You will execute, monitor, and troubleshoot software systems in active warehouse and industrial settings, ensuring seamless sensor deployments and high-quality execution across field operations.

KEY RESPONSIBILITIES

• Execute software front-ends (GUI and command-line interfaces) in field warehouse environments
• Troubleshoot software execution issues in real-time, ensuring minimal disruption to operations
• Collaborate closely with the broader software engineering team on issue diagnosis and continuous improvement
• Manage and monitor the quality of software execution in real-time during deployments
• Deploy and configure arrays of sensors into industrial warehouse settings
• Unpack, assemble, configure, disassemble, and transport technical equipment to and from field sites
• Maintain clear, accurate documentation of deployments, issues, and resolutions

REQUIRED QUALIFICATIONS

• 4+ years of experience in a relevant technical field role
• Willingness and ability to travel to field sites as required
• Proficiency with Linux, Bash, and/or Zsh environments
• Strong hands-on ability to unpack, assemble, disassemble, and transport technical equipment
• Demonstrated documentation skills — able to produce clear, thorough technical records
• Strong problem-solving skills with comfort working in fast-paced, dynamic environments
• Effective communicator — able to relay technical findings to both field and remote engineering teams

PREFERRED QUALIFICATIONS (BONUS POINTS)

The following are not required but will make your application stand out:

Software & Systems

• Familiarity with motion capture ecosystems: Optitrack, Manus, StretchSense, or Rokoko
• Experience with AR/VR headsets or Zed stereo cameras
• Basic Python scripting ability for automation or diagnostics
• Experience with AWS CLI and foundational cloud services
• Experience with real-time monitoring tools
• Experience with remote system administration

Hardware & Connectivity

• Knowledge of hardware communication protocols: I2C, SPI, UART
• Experience deploying sensor arrays or IoT devices in the field
• Familiarity with industrial automation or warehouse management systems

Documentation & Operations

• Experience writing technical documentation, SOPs, or deployment guides
• Experience with machine shop tools and physical fabrication

Salary Range: $110,000-$120,000/K

The actual salary offered is dependent on various factors including, but not limited to, location, the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience 

About the Role

You own our marketing technology stack — lifecycle infrastructure that powers email and SMS programs, and tracking systems that keep paid media attribution honest.

You'll design and maintain the systems that let a lean, AI-powered marketing team move fast and measure accurately. That means Iterable journeys and CDP audiences that run lifecycle programs on autopilot, a conversion tracking layer that stays clean across every ad platform, and automation that eliminates manual work from campaign launches to performance monitoring. You'll also drive cross-functional initiatives with Engineering, Product, and Growth Science to get critical tracking and infrastructure work prioritized. Senior IC role, no direct reports.

What You'll Do

1. Lifecycle Platform & Campaign Infrastructure

• Own Iterable end-to-end: configuration, journey architecture, lifecycle triggers, and audience management for welcome, nurture, and re-engagement programs.
• Manage our CDP (Segment Personas): define audience segments, maintain governance and naming conventions, and work with Engineering to ensure data flows to Iterable cleanly.
• Build AI-powered email and SMS template systems — modular, dynamic, and populated by AI at scale — so our lifecycle team can ship programs without relying on agencies or one-off builds.
• Train the team on platform capabilities and self-serve campaign creation so the lifecycle lead can focus on strategy, not production.

2. Conversion Tracking & Attribution

• Own Google Tag Manager and our Segment event taxonomy. Partner with Engineering on event tracking implementation, maintain event taxonomy documentation, and troubleshoot conversion data gaps across ad platforms.
• Partner with Engineering to implement and verify CAPI, enhanced conversions, and server-side tracking setups. You drive requirements, validate implementation, and own ongoing QA — Engineering builds it.
• Escalate and drive Engineering/Product prioritization when tracking infrastructure needs investment.

3. Automation, Tooling & Experimentation

• Build automated budget pacing alerts, performance anomaly detection, and campaign QA workflows (broken links, UTM validation, tracking checks) for both paid and lifecycle programs.
• Use Claude, Python, Gumloop and AI tools to build self-serve workflows that eliminate manual operational work across the team. Train team members on AI tools for content generation, analysis, and self-serve campaign creation.
• Partner with Growth Science on budget allocation analysis, channel decisions, measurement planning, and incrementality testing.

What You'll Need

Technical Skills:

• Expert in Iterable, Braze, or comparable ESP at enterprise scale (millions of sends)
• Strong HTML/CSS for responsive email templates; comfortable reading JavaScript
• Experienced with CDP platforms (Segment Personas or similar)
• Working knowledge of GTM, CAPI, enhanced conversions, and server-side tracking
• Proficient with Python scripting and no-code automation tools (Gumloop, Make, Zapier)
• Expert with AI tools (Claude, Cursor) for generating code, templates, and analysis
• Proficient in SQL for campaign analysis and troubleshooting

Experience:

• 5–7+ years in marketing operations, with primary depth in lifecycle/email platform ownership at scale
• Track record building infrastructure — not running campaigns — that measurably increases team velocity
• Proven ability to drive data infrastructure through Engineering and Product without direct authority
• Comfortable spanning acquisition and lifecycle — you understand how performance marketing and lifecycle programs interact

Mindset:

• Infrastructure builder: you design systems that eliminate entire categories of manual work
• AI-native: you use AI tools daily — for coding, content, analysis, and problem-solving
• High-agency IC: you architect solutions, prototype independently, and build them yourself

Bonus Points

• High-consideration, high-value transactional businesses (real estate, automotive, financial services)
• Amplitude or Optimizely experimentation platform experience
• Figma for prototyping templates
• Analytics engineering or data visualization (Looker, Mode, Tableau)
• Segment CDP, mobile push, or in-app messaging experience

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.

About the Role

You own our marketing technology stack — lifecycle infrastructure that powers email and SMS programs, and tracking systems that keep paid media attribution honest.

You'll design and maintain the systems that let a lean, AI-powered marketing team move fast and measure accurately. That means Iterable journeys and CDP audiences that run lifecycle programs on autopilot, a conversion tracking layer that stays clean across every ad platform, and automation that eliminates manual work from campaign launches to performance monitoring. You'll also drive cross-functional initiatives with Engineering, Product, and Growth Science to get critical tracking and infrastructure work prioritized. Senior IC role, no direct reports.

What You'll Do

1. Lifecycle Platform & Campaign Infrastructure

• Own Iterable end-to-end: configuration, journey architecture, lifecycle triggers, and audience management for welcome, nurture, and re-engagement programs.
• Manage our CDP (Segment Personas): define audience segments, maintain governance and naming conventions, and work with Engineering to ensure data flows to Iterable cleanly.
• Build AI-powered email and SMS template systems — modular, dynamic, and populated by AI at scale — so our lifecycle team can ship programs without relying on agencies or one-off builds.
• Train the team on platform capabilities and self-serve campaign creation so the lifecycle lead can focus on strategy, not production.

2. Conversion Tracking & Attribution

• Own Google Tag Manager and our Segment event taxonomy. Partner with Engineering on event tracking implementation, maintain event taxonomy documentation, and troubleshoot conversion data gaps across ad platforms.
• Partner with Engineering to implement and verify CAPI, enhanced conversions, and server-side tracking setups. You drive requirements, validate implementation, and own ongoing QA — Engineering builds it.
• Escalate and drive Engineering/Product prioritization when tracking infrastructure needs investment.

3. Automation, Tooling & Experimentation

• Build automated budget pacing alerts, performance anomaly detection, and campaign QA workflows (broken links, UTM validation, tracking checks) for both paid and lifecycle programs.
• Use Claude, Python, Gumloop and AI tools to build self-serve workflows that eliminate manual operational work across the team. Train team members on AI tools for content generation, analysis, and self-serve campaign creation.
• Partner with Growth Science on budget allocation analysis, channel decisions, measurement planning, and incrementality testing.

What You'll Need

Technical Skills:

• Expert in Iterable, Braze, or comparable ESP at enterprise scale (millions of sends)
• Strong HTML/CSS for responsive email templates; comfortable reading JavaScript
• Experienced with CDP platforms (Segment Personas or similar)
• Working knowledge of GTM, CAPI, enhanced conversions, and server-side tracking
• Proficient with Python scripting and no-code automation tools (Gumloop, Make, Zapier)
• Expert with AI tools (Claude, Cursor) for generating code, templates, and analysis
• Proficient in SQL for campaign analysis and troubleshooting

Experience:

• 5–7+ years in marketing operations, with primary depth in lifecycle/email platform ownership at scale
• Track record building infrastructure — not running campaigns — that measurably increases team velocity
• Proven ability to drive data infrastructure through Engineering and Product without direct authority
• Comfortable spanning acquisition and lifecycle — you understand how performance marketing and lifecycle programs interact

Mindset:

• Infrastructure builder: you design systems that eliminate entire categories of manual work
• AI-native: you use AI tools daily — for coding, content, analysis, and problem-solving
• High-agency IC: you architect solutions, prototype independently, and build them yourself

Bonus Points

• High-consideration, high-value transactional businesses (real estate, automotive, financial services)
• Amplitude or Optimizely experimentation platform experience
• Figma for prototyping templates
• Analytics engineering or data visualization (Looker, Mode, Tableau)
• Segment CDP, mobile push, or in-app messaging experience

Compensation

The base pay range for this position is $172,000–$238,000 Canadian Dollars annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

As a Process Productivity Engineer at ASM, you will work with our customers as a system level expert focused on product support for new product development. This role will require 25-50% domestic and international travel (depending on product cycle).

Responsibilities: 

• Drives and owns top customer productivity issues (e.g., defect reduction, tool matching, tool availability, etc.) for products in the field across the product life cycle, from new product introduction through high volume manufacturing.  
• Interaction with Hardware, Electrical, Controls, Product Support, Process, and Software engineering teams to become the system level expert on new products transferred to the field. Become an expert on the interaction of the products with the customer processes and resulting tool productivity.
• Provides guidance to engineering during the design phase of new products on key customer requirements and needs, including productivity specifications (e.g., defects, tool matching, throughput, etc.) and process best practices.
• Designs and conducts experiments, in addition to measuring and interpreting experimental output, aimed at fulfilling stated objectives using Design of Experiments (DOE) and Response Surface Methodology (RSM).
• Troubleshoots equipment problems and is personally and actively engaged in problem via “hands-on” modalities.
• Owns marathon qualification of new processes and products in the development lab, including data collection, analysis, and improvement plans. Works closely with Process, Product Support, and Hardware engineering teams providing real time feedback of marathon issues and recommended solutions.
• Ensure processes follow best known practices throughout the product life cycle, from before the first eval shipment through the HVM ramp. Share and proliferate new solutions across internal teams, including Process, Product Support, and Field Support engineering teams.

Education and Requirements:

• Master’s or PhD Degree in Chemical Engineering, Materials Science, Chemistry, Physics, Mechanical Engineering, Electrical Engineering, or related degree.
• Hands-on and/or course work experience with hardware.
• Strong technical troubleshooting and root cause analysis skills.
• Demonstrated ability to characterize processes and/or hardware using first principles and experimental design techniques (e.g., DOE, RSM).
• High motivation, enthusiasm and curiosity to learn.
• Interested in working with new products, testing them and becoming a system level expert.
• Excellent verbal and written communication skills, with ability to clearly communicate advanced technical constructs in direct and concise manner.
• Statistical analysis and script writing in Python, Matlab, or similar is a plus.
• Ability to travel (domestic and international) 25-50%

We are seeking a highly motivated System Engineer to join our Sensor Technology Group, a dynamic team driving innovation in advanced sensor solutions for semiconductor manufacturing equipment. This role offers a unique opportunity to work at the intersection of mechanical, electrical, chemical, and materials engineering, contributing to the development of next-generation sensor systems that enable precision, reliability, and performance in semiconductor fabrication.

Responsibilities:

• Lead and support the design, integration, and validation of sensor systems within semiconductor equipment platforms.
• Collaborate cross-functionally with hardware, software, and process engineering teams to define system requirements and architecture.
• Develop and execute test plans to evaluate sensor performance under various operating conditions.
• Analyze data to identify trends, troubleshoot issues, and optimize sensor functionality.
• Drive continuous improvement in sensor system reliability, manufacturability, and cost-effectiveness.
• Support technology transfer from R&D to production, including documentation and training.
• Stay current with emerging sensor technologies and industry trends.

Requirements:

• Bachelor’s or Master’s degree in mechanical engineering, Electrical Engineering, Chemical Engineering, Materials Science, or a related field.
• 3+ years of experience in system engineering, preferably in semiconductor equipment or high-tech industries.
• Experience with system integration, data acquisition, and signal processing.
• Experience in tools such as JMP, Python, or similar for data analysis.
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Strong communication skills and ability to present technical concepts to diverse audiences.

Preferred Qualifications:

• Relevant work experience in semiconductor equipment or a similar industry.
• knowledge of semi-conductor vacuum system, automatic wafer transfer (mechatronic: robotics, servo control, sensor and actuators) and integration into complex wafer processing system.
• Understanding of sensor technologies (e.g., thermal, optical, chemical, pressure, flow).
• Semiconductor related metrology knowledge (instrumentation to qualify & measure thickness, particles, electrical resistivity, etc.)
• Experience transitioning third party tools and service to in-house is particularly interesting

Job’s mission

What you will be working on

• Design and develop electromechanical systems integrating robotics with advanced control architectures.
• Implement visual-aided closed-loop control systems with real-time motion adjustment.
• Apply image processing algorithms using OpenCV, MATLAB, or similar libraries to guide robotic motion.
• Develop and tune servo control systems for precision and stability.
• Program and deploy control software for robotic platforms and embedded controllers (C/C++, Python, ROS).
• Develop, debug, and maintain PLC programs using Siemens, Allen-Bradley, or Beckhoff platforms.
• Collaborate with mechanical, electrical, and software teams for seamless integration.
• Participate in prototyping, testing, validation, and field deployment.
• Document system architecture, design decisions, and performance metrics.
• Provide technical support for troubleshooting and maintenance.

What we are looking for

• BS in Robotics, Mechatronics, Electrical Engineering, or related field with 12+ years of experience; MS with 8+ years; PhD with 4+ years.
• Proven expertise in control systems, including PID tuning, kinematics, and dynamic modeling.
• Hands-on experience with machine vision and image processing.
• Strong background in servo drive configuration and motor control.
• Proficiency in control software development for embedded and real-time systems.
• Experience with PLC programming and industrial communication protocols.
• Excellent problem-solving skills and ability to work independently or in teams.
• Strong communication skills for documentation and collaboration.

What sets you apart

• Familiarity with robotic frameworks such as ROS and tools like MATLAB/Simulink, LabVIEW, or TwinCAT.
• Knowledge of low-level communication interfaces (CAN bus, I2C, SPI, UART).
• Basic mechanical design principles and CAD tools.
• Experience with sensor integration (cameras, LIDAR, proximity sensors) and real-time data processing.
• Skills in actuator control and trajectory planning.
• Knowledge of semiconductor manufacturing processes and automation requirements.
• Experience with industrial robots or willingness to learn these applications.

About the Role

We are seeking an experienced, highly motivated Senior Full-Stack Engineer to join our growing team. The ideal candidate will be a strong collaborator with deep expertise in modern application development technologies and practices. The focus of this role is on building and maintaining robust, scalable, and high-performance applications across the full stack using TypeScript and some Python. Some experience with React and/or Angular would be helpful.

This role requires not only technical proficiency but also a forward-thinking perspective on the role of Artificial Intelligence (AI) in modern software development. Candidates must demonstrate an active engagement with AI tools, understanding their practical use, current limitations, and the strategic opportunities they present for the engineering discipline.

Mainly remote work: seeking candidates in the greater Los Angeles area to mainly work remotely with some on-site work required at times.

Key Responsibilities

• Lead the design, development, and deployment of complex features across both the frontend and backend of our clients’ products.
• Write clean, maintainable, and well-tested code using TypeScript for type safety and scalability on both the client and server.
• Collaborate with product managers, designers, and other engineers to translate business requirements into technical solutions.
• Collaborate with other team members to set technical standards, establish best practices, and make architecture decisions.
• Actively research and evaluate new technologies, tools, and methodologies to improve the engineering process.
• Demonstrate and articulate a practical understanding of AI tools (e.g., planning, code generation, intelligent testing frameworks) in daily engineering tasks, including their effective application and inherent limitations.

Qualifications

• 5+ years of experience in full-stack software development.
• Expert-level proficiency with TypeScript, including complex type definitions and advanced language features.
• Strong experience with server-side development, including building and consuming RESTful APIs or GraphQL services (proficiency with Hono Framework is a plus).
• Proficiency with relational and non-relational databases
• Familiarity with modern CI/CD pipelines, containerization (Docker), and cloud platforms (primarily AWS, with experience in GCP and/or Azure a plus).
• Preferred, but not required: Proficiency with React and its ecosystem (e.g., Hooks, Context API, Next.js, or similar frameworks). Experience with Angular (any version) in a professional capacity is a plus.

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.

Salary Range $135,000 - $175,000

Application Process

A cover letter is required. Your cover letter should be informed by the “AI and Forward-Looking Requirements” section above.

The hiring process includes:

• Initial Screening Call
• A Technical Assessment sent by email and returned by email
• A Panel Interview

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.

WHAT WE DO

Our AI and Technology 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:

• Agile Transformation
• Cloud and Technology Strategies
• DevOps
• Solution Design
• App Development

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

• Knowledge and experience in one or more Cloud platforms (AWS, Microsoft Azure, Google Cloud, etc.)
• Knowledge and experience in one or more database platforms (i.e. SQL, DB2, Oracle, Postgres, MySQL, NoSQL, etc.)
• Knowledge and experience in multiple software development languages (i.e.  Java, Javascript, C#, C++, Python, etc)
• Knowledge and experience with one or more software frameworks (i.e. .Net, NodeJS, React, Angular. etc.)
• Knowledge and experience with IoT and Edge Computing strategies and concepts   
• Experience collaborating with clients to translate business requirements into technical requirements
• Experience leading and/or contributing at a significant level to project teams in best practices, design principles, and advanced technologies
• Knowledge and experience in both agile and waterfall project management methodologies 
• Experience leading Waterfall to Agile transformation projects of all sizes
• Coaching Agile process and best practices for teams and organizations

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.