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

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 

Senior Solution Sales Engineer - 

Position Description: 

We believe Solutions Engineers at Okta are involved in all stages of the customer’s development lifecycle and are experienced using presentations, email, phone and social media to connect with customers. We are looking for great teammates that can build sales presentations, product demonstrations, and educate customers (everyone from developers to product managers to C-level executives) on the best ways to cloud security technology.  We believe in Okta’s Solutions Engineers empathize with customers and quickly discern their true technical needs by asking detailed and clarifying questions and presenting solutions that target those needs. You have the rare combination of technical savviness and business insight and you’re looking for a career where you can utilize both. As a Senior Solutions Engineer at Okta, you will hone each of these skills by advising a diverse set of Fortune 500 customers on what is possible using Okta’s Identity Platform. 

Job Duties and Responsibilities:

• Collaborate with account executives to develop and execute territory and account strategies to maximize the Okta opportunity in those accounts
• Conduct research and discovery to understand customer requirements and communicate the business value of solving technology problems using cloud technology
• Execute the delivery of POCs for customers with complex use cases, collaborating with other Okta engineering teams as needed
• Craft technical content to show customers how to implement specific use cases or standard methodologies for new technologies
• Prepare and deliver demos to showcase how the Okta platform meets customer’s business needs and use cases.  
• Distill and communicate customer needs and product feedback to Product Management, Engineering, Marketing and Sales

Required Skills:

• 5+ years pre-sales engineering experience
• A passion to serve the customer, which has played out in some customer-facing role like consulting or support, ideally solutions engineering
• An ability to quickly and effectively communicate complex technical concepts via presentation, slides and whiteboard 
• A Strong Understanding of Identity & Access Management (IAM)
• SSO, MFA, SCIM, OAuth 2.0, OIDC, SAML, and LDAP.
• Lifecycle management, role-based access control (RBAC), and provisioning/deprovisioning.
• A strong understanding of Zero Trust Architecture and core security concerns within a typical application (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)
• Hands-on experience in one or more of the following areas is a plus: web (JavaScript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications
• Experience with cloud platforms: AWS, Azure, GCP.
• You are an elite communicator
• Can identify, map, and manage multiple personas: IT admins, CISOs, architects, procurement, and legal.
• Confident dispensing knowledge to a highly skilled and experienced audience
• Typically 10-25% travel
• Bachelor's degree in Engineering, Computer Science, MIS or a comparable field is preferred.

 This role requires in-person onboarding and travel to an office in the U.S. during the first week of employment.

#LI-hybrid

#LI-LSS1

P13951_3337053

About the Company

Gemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss in 2014, offering a wide range of simple, reliable, and secure crypto products and services to individuals and institutions in over 70 countries. Our mission is to unlock the next era of financial, creative, and personal freedom by providing trusted access to the decentralized future. We envision a world where crypto reshapes the global financial system, internet, and money to create greater choice, independence, and opportunity for all — bridging traditional finance with the emerging cryptoeconomy in a way that is more open, fair, and secure. As a publicly traded company, Gemini is poised to accelerate this vision with greater scale, reach, and impact.

The Department: Enterprise Infrastructure

Within Operations, the Enterprise Infrastructure team owns the internal technology ecosystem that supports Gemini's offices and employees. The team operates as a unified engineering and service organization, combining front-line support excellence with DevOps-driven platform engineering under a single mandate.

Our enterprise technology strategy fuels business growth through an engineering-first approach by delivering a modern, secure, and scalable foundation for seamless collaboration, efficient operations, and future-ready innovation. By emphasizing operational excellence, continuous improvement of existing systems, and strategic automation – including Infrastructure as Code, GitOps workflows, and AI-augmented operations – we position IT as an engineering discipline whose impact extends across the department and the broader organization.

The Role: Staff Enterprise Infrastructure Engineer

As a Staff Enterprise Infrastructure Engineer, you will serve as a technical leader and force multiplier across the full breadth of Enterprise Infrastructure – from end-user support excellence to backend platform engineering and automation.

You will apply DevOps methodologies to drive the design, implementation, and continuous improvement of the systems that underpin Gemini's global workforce. This includes owning strategies and execution for endpoint management, user identity and access lifecycle, internal tooling, Infrastructure as Code, CI/CD pipelines, and AI-augmented operational workflows. You will define and track key metrics, communicate trends and capacity insights to leadership, and make strategic decisions about tooling adoption, vendor relationships, and architectural direction with an awareness of how these decisions impact teams and stakeholders beyond Enterprise Infrastructure.

A core expectation of this role is that you approach problems with an eye toward scalability and sustainability, building systems that reduce manual toil, improve reliability, and position the team for rapid growth. You are expected to critically evaluate existing systems and processes, challenging assumptions, identifying inefficiencies, and driving improvements to legacy workflows with the same rigor applied to new builds. You will act as a mentor and escalation point for others, fostering a culture of engineering rigor within support operations and a culture of user empathy within engineering work.

The ideal candidate has deep experience across both operational support and DevOps-driven infrastructure, thrives in ambiguity, and is energized by the challenge of consolidating legacy tooling into modern, automated, GitOps-driven workflows. They bring a pragmatic approach to adopting emerging capabilities – including agentic AI – and are motivated by building solutions that scale beyond their immediate team to benefit the broader organization.

This role is required to be in person 5 days per week at our Tempe, AZ office.

Responsibilities:

• Office & Endpoint Operations

  • Manage hardware inventory, secure storage, and physical IT infrastructure across global office locations.
  • Administer and support endpoint fleets including provisioning, patch management, and peripheral troubleshooting.
  • Support office A/V systems, network connectivity, and conference room technology.

• Service Operations & Delivery

  • Resolve service and incident requests with quality, speed, and thorough documentation.
  • Manage user identity and access lifecycle – including SSO, SCIM, MFA, and security key administration.
  • Maintain and improve SaaS platform configurations, vendor relationships, and internal support workflows.
  • Track operational metrics, surface trends, and communicate capacity insights to leadership.

• Platform Engineering & Automation

  • Build and maintain infrastructure using IaC, configuration management, and GitOps-driven deployment workflows.
  • Develop internal tools and integrations that automate fleet operations, user lifecycle management, and cross-service orchestrations
  • Design and operate CI/CD pipelines for infrastructure changes, tooling, and endpoint configurations.
  • Lead endpoint management platform migrations, including policy authoring, GitOps-managed profiles, and fleet-wide telemetry.
  • Design and implement agentic AI workflows to augment IT operations, applying context engineering principles to enable reliable, bounded automation and validations.

Minimum Qualifications:

• 8+ years of progressive experience in enterprise IT, infrastructure engineering, or a DevOps-focused support capacity.
• Strong proficiency with macOS fleet management at scale using MDM platforms.
• Hands-on experience with Infrastructure as Code and configuration management tooling.
• Proficiency in at least two of the following languages: Go, Python, Swift – with demonstrated ability to build production-grade internal tooling and API integrations.
• Deep experience with identity and access management platforms (Okta, Google Workspace, Active Directory), including SSO, SCIM, Device Assurance Policies, MFA, and user lifecycle automation.
• Working knowledge of CI/CD pipelines (GitHub Actions or equivalent) and Git-based development workflows.
• Solid understanding of networking fundamentals.
• Experience with AWS cloud services in a production or internal-tooling context.
• Proven ability to communicate complex technical concepts to both technical and non-technical audiences, including leadership.
• Experience mentoring junior engineers and contributing to team culture, hiring, and process improvement.

Preferred Qualifications:

• Experience in fintech, crypto, or regulated financial services environments.
• Experience with FleetDM and osquery for endpoint telemetry, compliance, and GitOps-managed device configuration.
• Experience designing agentic AI harnesses and workflows or applying context engineering techniques to augment operational processes (e.g., Claude Code, OpenCode, LLM-driven automation).
• Proficiency in Go, Python, and/or Swift for internal tooling development.
• Hands-on experience deploying reliable tools via Containerization and Orchestration (Docker, Kubernetes/EKS).
• Experience managing 1,000+ user accounts across a globally distributed workforce.
• Working knowledge of the Apple MDM protocol and open-source macOS tooling (Munki, AutoPkg, SaltStack, etc.).
• Experience with A/V systems administration (Crestron, Logitech, Chromebox for Meetings).
• SaaS Administration experience (Anthropic, Atlassian, Google Workspace, Linear, Okta, & more), service management workflows, and SLA reporting.

• Competitive starting pay
• A discretionary annual bonus
• Long-term incentive in the form of a new hire equity grant
• Comprehensive health plans
• 401K with company matching
• Paid Parental Leave
• Flexible time off

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.

#LI-AA1

What You'll Do 

1. Design and implement containerized microservices within an AWS environment (Lambda, ECS)
2. Lead the design of relational database schemas (Postgres), prioritizing query performance engineering and indexing strategies to handle large, readily available SDA datasets
3. Own the end-to-end feature development and integration of streaming and batch ETL pipelines
4. Familiarity with deploying ML models in production and adding instrumentation to monitor model performance
5. Help with architecture design and defining technical direction
6. Mentor and help develop other less experienced engineers 

What We Value:

1. Strong ownership mentality – you’ll lead technical execution and ensure your features make it from development to production
2. Accountable – The team knows they’ll be able to depend on you
3. Curiosity – We are solving the hardest problems in space and want to hear everyone’s voice to ensure we’re always innovating
4. Leadership – You will be on a small team and will be empowered to help grow the culture and influence technical direction 

Your Ideal Background:

Required:

1. 5+ years of full-time software engineering experience
2. Experience working in the defense/space industry
3. Comfortable working in a small, fast-paced Agile environment
4. Strong communication skills and ability to execute under uncertainty
5. Familiarity with one or more of the following: Machine Learning, SDA, Backend Development
6. Proficiency in Linux, Python, SQL, Docker, and AWS
7. Eligible to obtain and maintain an active U.S. security clearance 

Nice to Have: 

1. Experience instrumenting microservices with Observability (we use the LGTM stack)
2. Comfortable leading algorithm development across different SDA data modalities (EO, Orbital, RF, etc.) to solve problems such as anomaly detection, pattern-of-life modeling, or maneuver detection 

Compensation and Benefits:  

Your base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.  The anticipated salary range for this role is $150,000 - $190,000 annually.

Base salary is just one part of your total rewards package at Katalyst. You will also be eligible for long-term incentives, in the form of the Employee Stock Option and Equity Plan, as well as a relocation bonus and other discretionary bonuses. You will also receive access to comprehensive medical, vision, and dental coverage, and unlimited Paid Time Off.

At Katalyst our work on projects involving the U.S. Department of Defense requires adherence to International Traffic in Arms Regulations (ITAR), 22 C.F.R. Parts 120-130, which requires compliance with U.S. export laws before allowing employees to perform certain positions. Currently, our available roles necessitate access to ITAR-controlled information, and as a result, Katalyst would have to ensure any non-US person is authorized access to ITAR information before the commencement of employment. We are committed to equal employment opportunities and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

*remote work will require an exception from the hiring team

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

Hi, we're Oscar. We're hiring a to join our Clinical Data Analytics team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role:

You will partner closely across the organization to identify and manage inefficiencies proactively in the business. You will support business units in scoping, analyzing and monitoring performance of key financial and utilization metrics in service of company goals. You will independently drives the scoping & execution of analytical requests, including working with stakeholders to define key questions, scope methodologies and results. You will be called upon to speak to prepared analysis both internally and externally.

You will report into the Senior Manager, Clinical Analytics.

Work Location: This position is based in our Tempe, Arizona office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $91,659 - $120,303 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, and annual performance bonuses.

Responsibilities:

• Responsible for owning insights generation and follow-up for a major business unit, serving as the first point of contract for Sr. Managers and Associate Directors
• Analyze data to support business teams in making better informed, data-driven decisions
• Use data to tell a story that non-technical colleagues will be able to understand, including packaging and presenting findings in a clear, concise and compelling manner
• Recognize the need to enhance essential operational and analytical dashboards, and define the requirements to enhance them as our user's needs evolve
• Identify opportunities to create models and tools that produce relevant insights to identify healthcare inefficiencies and generate insights to remove inefficiencies
• Collaborate across the organization, including owning stakeholder relationships with managers & senior managers , to identify actions to achieve improvements and monitor initiative impact
• Support other strategic projects as assigned to meet business needs
• Compliance with all applicable laws and regulations
• Other duties as assigned

Requirements:

• 3+ years of technical work experience using analytical tools and writing analytical reports
• 3+ years demonstrated ability to work with large datasets and distill analyses into relevant insights with a structured and systematic thought process
• Strong communication skills, verbal and written, around business reporting impact and requirements, as demonstrated by 5+ examples / projects of presenting analysis to Leadership (Director+)
• 3+ years experience in SQL, with the ability to filter, aggregate, and build CTEs, or proficiency in R or Python, including experience with Pandas, for loops, and statistical tests
• 3+ years experience developing dashboards and working with Looker, or other business intelligence/data visualization tools
• 3+ years experience, including proficiency in Google Sheets or Excel skills, with ability to use VLookup, nested if statements and connected Sheets
• 1+ years experience in healthcare, consulting, finance or the insurance industry

Bonus points:

• 2+ years experience in preparing healthcare analytics and reporting
• 2+ years experience managing value-based contracts at a payer or a provider organization (ACO, CIN, MSO etc.)
• Exposure to healthcare contract negotiations, risk adjustment, ACA marketplace, quality of care, and/or population health experience

The application window will be open until at least April 24, 2026 . This opportunity will remain online based on business needs which may be before or after the specified date.

This role is not eligible for immigration sponsorship.

This role is part of the Growth department on the Digital team. You'll collaborate with ad operations and growth specialists to deliver web, app, and media analytics to key stakeholders. The Growth team works across departments—including sales, marketing, brand, and product—to identify new opportunities and test strategies to drive revenue and improve the customer experience with GFiber’s products.

Role Description

As the Marketing Web Developer you will be the technical lead responsible for managing GFiber’s websites and integration points, supporting digital marketing and sales efforts. You’ll lead, organize, and manage program activities that drive business outcomes while developing systems to proactively identify improvements and drive future optimizations including change management and performance metrics. You'll oversee content management systems, A/B testing tools, and tracking implementations, ensuring smooth operations and optimal performance. Collaboration with cross-functional teams will be key in driving our analytics, marketing, and growth initiatives.

In this role, you'll:

• Engineer and maintain the GFiber web architecture, writing clean, scalable code to integrate marketing technology stacks and third-party services. 
• Implement and manage tools for content management, knowledge management, A/B testing, tracking, and services integration.
• Create technical design documents for new website features and integrations.
• Manage user access, roles, and responsibilities for web tools like Contentful, Optimizely, and KMS Lighthouse.
• Support change requests, issue management, and day-to-day updates related to website content and services, and also align with stakeholders on decisions and changing circumstances.

At a minimum we'd like you to have:

• Bachelor's degree in Digital Marketing, Computer Science, or related fields—or equivalent practical experience.
• 4 years' experience building high-traffic marketing websites and scalable web systems using React, Typescript and JavaScript.
• Experience with A/B testing tools (e.g. Optimizely, Optimize, Test and Target) and experiment configuration.
• Experience implementing and leveraging analytics, tracking and data warehouse platforms (e.g., Google Analytics 4, Google Tag Manager, BigQuery).

It's preferred if you have:

• Experience with headless Content Management Systems (e.g. Contentful, Sanity).
• Experience with ad-tech integrations and custom tracking pipelines for Google Ads and Campaign Manager, ensuring accurate reporting and data attribution for high-traffic marketing sites via API. 
• Experience with AI tools coding tools and LLM technologiesExperience using written and verbal communication to convey technical requirements to both technical and non-technical stakeholders.
• Experience with Python and back-end integrations to support large-scale consumer traffic.

The US base salary range for this full-time position is between $132,800 - $175,100 + bonus + cash award + benefits. As pay varies by location, your recruiter will share more about the specific salary range for your targeted location during the hiring process.

#LI-DNI

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 your role

We are looking for a forward-thinking Data Engineering Intern to join our team for Summer 2026. This isn't just a role about moving data from point A to point B; it’s about rethinking how those pipelines are built. You will sit at the intersection of core infrastructure and AI, building robust ETL processes while leveraging AI technologies to automate the very workflows you create.

Your mission is dual-purpose: you will support our Business Intelligence efforts and directly influence our product roadmap by turning raw data into actionable insights through advanced dashboards and automated workflows.

A Day in the Life

• Build & Orchestrate: Design, develop, and maintain ETL pipelines to ingest data into our Snowflake warehouse using Python, SQL, and Airflow.
• AI-Driven Automation: Implement AI-powered solutions to streamline engineering tasks, including:
• Automating code generation and documentation.
• Building AI-driven data quality checks and anomaly detection.
• Developing "self-healing" pipelines that can identify and alert on ingestion errors.
• Insight Generation: Use Jupyter Notebooks and Streamlit to analyze data and build internal tools that help our product team make data-driven decisions.
• Visualization: Create high-impact dashboards in Tableau that translate complex data into a clear narrative for stakeholders.
• Agile Collaboration: Participate in daily Scrum huddles, manage tasks via Jira, and work closely with product owners and QA to promote code to production.
• Cloud Infrastructure: Interact with cloud services via CLI and manage containerized environments using Docker and Kubernetes.

What you’ll need

• Academic Status: Currently pursuing an undergraduate degree with a targeted graduation date in 2026 or early 2027, or pursuing a degree in Computer Science, Data Science, or a related quantitative field.
• Programming Mastery: Expertise in Python and SQL
• Infrastructure Mindset: A strong understanding of Data Warehousing (Snowflake) and ETL orchestration (Airflow).
• DevOps Curiosity: Familiarity with CLI, Docker, and Kubernetes for managing cloud-based environments.
• Analytical Toolkit: Experience with Jupyter Notebooks, Tableau, or Streamlit.
• Problem Solver: A proactive approach to using AI/LLMs to automate repetitive tasks and improve system reliability.

The Summer "Win"

By the end of your 10-week internship, you will have designed and deployed a functional ETL pipeline that feeds into a custom Insights Dashboard. Your work won't just sit in a folder, it will be used to influence our official product roadmap.

Interview Process

• Recruiter Phone Screen
• Technical Assessment 
• Hiring Manager Interview
• Team Interview

Hi, we're Oscar. We're hiring a Data Analytics Associate to join our Service Operations Data Analytics team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role:

You will partner closely across the organization to identify and manage inefficiencies proactively in the business. You will support business units in scoping, analyzing and monitoring performance of key financial and utilization metrics in service of company goals. You will independently drives the scoping & execution of analytical requests, including working with stakeholders to define key questions, scope methodologies and results. You may at times be called upon to speak to prepared analysis both internally and externally.

You will report into the Manager, Data Analytics.

Work Location: This position is based in our Tempe, Arizona office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $91,659 - $120,303 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, and annual performance bonuses.

Responsibilities:

• Responsible for owning insights generation and follow-up for a major business unit, serving as the first point of contract for Sr. Managers and Associate Directors
• Analyze data to support business teams in making better informed, data-driven decisions
• Use data to tell a story that non-technical colleagues will be able to understand, including packaging and presenting findings in a clear, concise and compelling manner
• Recognize the need to enhance essential operational and analytical dashboards, and define the requirements to enhance them as our user's needs evolve
• Identify opportunities to create models and tools that produce relevant insights to identify healthcare inefficiencies and generate insights to remove inefficiencies
• Collaborate across the organization, including owning stakeholder relationships with managers & senior managers , to identify actions to achieve improvements and monitor initiative impact
• Support other strategic projects as assigned to meet business needs
• Compliance with all applicable laws and regulations
• Other duties as assigned

Requirements:

• 3+ years of technical work experience using analytical tools and writing analytical reports
• 2+ years demonstrated ability to work with large datasets and distill analyses into relevant insights with a structured and systematic thought process
• Strong communication skills, verbal and written, around business reporting impact and requirements, as demonstrated by 5+ examples / projects of presenting analysis to Leadership (Director+)
• 2+ years experience in SQL, with the ability to filter, aggregate, and build CTEs
• 2+ years in building robust data models
• 1+ years experience, including proficiency in Google Sheets or Excel skills, with ability to use VLookup, nested if statements and connected Sheets
• 1+ years experience developing dashboards and working with Looker, or other business intelligence/data visualization tools

Bonus points:

• Experience using Python or R
• 2+ years experience in healthcare or insurance industry
• Exposure to healthcare contract negotiations, risk adjustment, ACA marketplace, quality of care, and/or population health experience
• Prior experience in Member Relations or Customer Success environments.
• Building data models in dbt
• Building reports in Looker Studio Pro
• Git workflows

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #LI-REMOTE

As a Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world.

Reporting to the Field Engineering Manager, you will collaborate with customer stakeholders, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide one of our largest AI native customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.

The impact you will have:

• You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
• Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

What we look for:

• 7+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• Experience building distributed data systems
• Comfortable programming in, and debugging, Python and SQL
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Expertise in one of the following:
  • Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
  • Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)
• Available to travel to customers in your region
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• Nice to have: Databricks Certification

NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply.  We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

Job Summary: At LG Energy Solution Arizona, Inc., the Engineer II – IT MES Process Innovation will play a key role in advancing smart manufacturing initiatives by supporting and improving Production IT systems, including the Manufacturing Execution System (MES), data analysis platforms, and reporting tools. This role partners with production, engineering, and IT teams to analyze manufacturing processes, implement system enhancements, and support IT solutions aligned with user requirements and business and process changes, driving continuous improvement and operational efficiency across manufacturing operations.

Report To: Sr. Manager, Process Innovation

Responsibilities:
• Analyze manufacturing processes and identify opportunities for system enhancements within Production IT systems, including the MES.
• Design, configure, and implement MES and production system improvements to enhance manufacturing efficiency, system performance, and operational visibility.
• Collaborate with production, engineering, and IT teams to develop and deploy technology solutions that optimize manufacturing processes and support evolving operational requirements.
• Troubleshoot system issues impacting production operations and Smart Factory systems, performing root cause analysis and implementing corrective actions to maintain system reliability.
• Monitor and optimize system integration and data flow across MES, WMS, and ERP platforms to improve data consistency, inventory accuracy, and system performance.
• Execute IT initiatives and system enhancement projects that support digital manufacturing and smart factory capabilities.
• Partner with global engineering teams and headquarters stakeholders to align system capabilities with manufacturing process improvements and business requirements.
• Coordinate with internal teams and external technology vendors to implement and maintain IT equipment, software solutions, and system configurations supporting manufacturing operations.

Qualifications:
• Bachelor's Degree in Computer Science, Information Technology, Industrial Engineering or a related field.
• 3+ years of experience in Information Technology, Manufacturing Systems, or related technical environments.
• Experience supporting or implementing Manufacturing Execution Systems (MES) and ERP systems (e.g., SAP) in a manufacturing environment.
• Experience working on data analysis initiatives and production system improvement projects.
• Understanding of manufacturing processes and production systems and their integration with IT solutions.
• Knowledge of IT best practices, including system architecture, programming concepts, and cybersecurity principles.
• Ability to work flexible hours when required to support production operations and collaborate with global teams and headquarters stakeholders.

Skills:
• Strong communication and cross-functional collaboration skills.
• Experience working with data analysis and reporting tools to support operational decision-making.
• Familiarity with project management tools and methodologies.
• Programming and data visualization experience with tools such as Python, SQL, and Power BI preferred.
• Knowledge of AI or advanced analytics solutions preferred.
• Proficiency in Microsoft Office Suite.

 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.  

About your role

Rocket Lawyer is seeking a highly motivated Business Intelligence Analyst Intern to join our team. This position is perfect for someone who wants to learn about the legal industry and how data is used to inform business decisions. By joining our team, you will have the opportunity to work on challenging projects that have a real impact on people's lives. You will support the Rocket Lawyer team in driving business insights, reporting, and analytics to help drive growth and optimize business performance. This role will partner closely with Product, Finance, Marketing, & Data Engineering teams to deliver actionable insights and act as a thought leader for data at Rocket Lawyer.

How you will make a difference day to day

• Analyze and optimize user engagement and experience with our services and investment across Search Engine Marketing (SEM), Search Engine Optimization (SEO), email, and offline channels
• Collaborate with business leads to understand KPIs & test hypotheses to drive revenue, customer acquisition, retention, and sales
• Support revenue and cost model assumptions are they relate to customer acquisition costs and lifetime value
• Conduct research and analysis to support business decisions, including reporting and communication of results to leadership
• Maintain and optimize BI tools and dashboard solutions. Contribute to ongoing data governance efforts

What you’ll need

• Experience with business analysis and problem-solving by drawing insights from large data sets
• Superior skills with SQL, Excel, and Python
• Experience with business intelligence applications (Tableau, Looker) and online marketing tools (Amplitude)
• Experience with Snowflake, other databases a plus
• SaaS, digital media, ecommerce, or online marketing based business experience a plus
• Light-hearted attitude and ability to have FUN while working hard
• Keen attention to detail, ability to work autonomously, & bias for action
• Excellent communication and interpersonal skills, with strong business acumen
• Pursuing a Bachelor's or Master’s Degree in Finance, Economics, Engineering or related quantitative field

Interview Process

• Recruiter Phone Screen
• Hiring Manager Interview
• Final Interview

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 your role

Rocket Lawyer is looking for a motivated and passionate AI/ML Software Engineering Intern to join our team working on Rocket Copilot, our AI assistant launched in December 2023. In this internship, you will collaborate with our cross-functional teams to assist in building a cutting edge AI platform. You’ll have the opportunity to learn from experienced engineers while working on real-world AI/ML projects, helping design, implement, test, and maintain new AI features.

We value a collaborative and supportive work environment, where we celebrate learning and growth. This is a great opportunity for someone eager to expand their skills and contribute to innovative AI solutions.

Responsibilities

• Assist in prompting, evaluating, fine-tuning, and maintaining large language models (LLMs) for AI features
• Support the creation, monitoring, and troubleshooting of backend API services that interact with ML models
• Collaborate with cross-functional teams to integrate AI into existing and new Rocket Lawyer products
• Research and stay up-to-date with industry trends around generative AI and machine learning
• Prototype product features to explore new AI capabilities and write clean, understandable code

What you’ll need

• Currently pursuing a BS, MS, or PhD in Computer Science, Mathematics, Statistics, or a related field.
• Basic understanding of machine learning concepts and algorithms.
• Familiarity with generative AI technologies and models (Deep Learning, RAG, Neural Networks, Agents).
• Interest or experience working with large language models (LLMs) and generative AI.
• Strong programming skills in Python

A bonus if you have

• Experience with backend Python frameworks like FastAPI, Flask, Django, etc.
• Familiarity with vector databases.
• Additional programming skills in languages such as Java, Kotlin, or NodeJS.
• SQL knowledge.
• Interest in building user-facing products.
• Understanding of microservices architectures and distributed systems.

Interview Process

• Recruiter Phone Screen
• Hiring Manager Interview
• Team Interview

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.

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.

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.

Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves - one that behaves like a doctor in the family.

About the role:

Oscar's data team is focused on pushing our understanding of this complex landscape of health care and insurance business. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product.

As a Data Scientist II you will drive data science projects across multiple teams and domains. In this role, you’ll take ownership of analytical and modeling work, contribute to technical direction, and partner closely with business, engineering, product and data stakeholders to deliver impactful solutions.

This is a mid-level role for data scientists who can operate independently, manage ambiguity, and apply advanced analytics or modeling techniques with minimal oversight.

​​You will report into a leader on the Data team (Senior Data Scientist and above). This posting is representative of multiple roles, and final team placement will be determined during the interview process.

Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities:

• Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions
• Own projects end-to-end, including problem definition, implementation, validation, and iteration
• Deliver high-quality analytical and modeling outputs with limited manager oversight
• Collaborate closely with data science peers and cross-functional partners across business units
• Help ensure data science processes and outputs align with broader team strategies and roadmaps
• Provide guidance or informal mentorship to junior data scientists or analysts when needed
• Contribute to improving data science practices, tooling, and documentation

Requirements:

• 3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both)
• 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data
• 2+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing

Bonus points:

• Master’s degree in a quantitative or technical field
• Knowledge of or previous work experience in health care or health insurance
• Experience mentoring or supporting junior team members
• Experience deploying or supporting models in production environments

Hi, we're Oscar. We're hiring a Senior Software Engineer, Backend to join our Engineering team.

Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role

As a Senior Software Engineer, you will build reliable and maintainable applications, infrastructure, and interfaces that make interacting with the health care system easier for members and providers. You will work with partners, product managers, and designers to solve challenging problems. Senior Engineers collaborate with other engineers on the team to improve technology and apply best practices.

Work Location: This position is based in our Tempe, AZ office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $158,400 - $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities

• Become the expert on your team's business and technical domains.
• Lead the planning, execution and release of complex technical projects.
• Work with partners, product managers, and designers to solve challenging problems.
• Collaborate with other engineers on the team to improve technology and apply best practices.
• Implement step-wise technical migrations of our existing services and applications.
• Own small to medium features or infrastructure projects from technical design through completion with little required guidance.
• Independent contributor to their team. Work effectively across the codebase with appropriate guidance from code owners.
• Make steady, well-paced progress without requiring frequent significant feedback from more senior engineers.
• Compliance with all applicable laws and regulations
• Other duties as assigned

Qualifications

• 5+ years of professional software engineering experience, working with a variety of technologies, and have increasingly impactful accomplishments
• Experience proposing, experimenting, and iterating, whether it be a new shiny technology or an arcane, ill-conceived data structure; our company may be new, but the health industry isn't!
• Experience with technical contributions, improving the quality of what you create, and are excited to build fault-tolerant, and scalable software systems.
• Demonstrates solid understanding of the practical application of CS concepts within their team.
• Consistently writes stable, correct, and maintainable code with little oversight; writes modular, adaptable code with guidance.

Bonus Points

• Experience supporting libraries and writing in Python and Golang.
• Experience owning observability stack tooling, e.g. Grafana, BigQuery, Kubernetes.
• Experience working in data and engineering tooling, e.g. discovery libraries, data replication, data transfer tools, authentication, authorization libraries.

About your role

Rocket Lawyer is seeking an experienced, passionate AI/ML software engineer for Rocket Copilot, our new AI assistant launched in December 2023. In this role, you will help our team deeply embed AI features across our platform. You will work in an agile, cross-functional team, working with multiple product teams as we build out AI features across Rocket Lawyer. You will design, implement, test, release and maintain new AI features, working closely with product managers, UX designers, data engineers, QA engineers, and others.

We value a fun, collaborative, team-oriented work environment, where we celebrate our accomplishments. 

How you will make a difference day to day

• Build, train, fine-tune, deploy and maintain ML models for AI features
• Create, monitor and troubleshoot backend API services to allow Rocket Lawyer product frontends to interact with ML models
• Work closely with multiple product teams and cross-functional teammates to quickly integrate AI into existing and new Rocket Lawyer products
• Keep up-to-date with industry trends around generative AI and machine learning
• Rapidly prototype product features to explore new AI capabilities, while writing clean, understandable code

What you’ll need

• 5+ years of Experience writing ML code for launched products
• Understanding of the state of the art in generative AI, including RAG, LoRA, RLHF and others
• Experience creating data sets from proprietary anonymized data, and using them to train and fine-tune ML models
• Experience with machine learning frameworks like TensorFlow, PyTorch and Scikit-Learn
• Strong programming skills in Python and SQL
• BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields, or related work experience

Benefits & Perks

• Comprehensive health plans (including Medical, Dental and Vision insurance for full-time employees)
• Unlimited PTO
• Competitive salary packages
• Life insurance
• Disability benefits
• Supplemental Optional Life Insurance Benefits
• FSA Options Optional
• HSA with Company Match
• 401k program with Company Match
• Fertility Assistance and Planning options
• Wellhub & ClassPass fitness platforms
• Comprehensive Pet Insurance options
• Financial Wellbeing & Student Loan Program access
• Access to additional Mental Health & Wellbeing resources
• Pre-tax Commuter/Transit Benefits
• Free Rocket Lawyer account with online access to an extensive legal documents library and brilliant licensed attorneys at discounted rates 

Interview Process:

• Recruiter Phone Screen
• Role Assessment(s)
• Hiring Manager Interview
• Panel Interviews
• Final Interview

We are seeking an experienced Software Engineering Manager to lead development efforts for complex semiconductor processing equipment and related control systems. This role requires strong hands-on technical expertise, leadership capability, and the ability to drive high‑quality software delivery across global, cross‑functional teams. You will manage a team of software engineers (local/remote), define strategy and roadmaps, and ensure the successful execution of software development for multiple product lines.

Key Responsibilities:

• Manage a software engineering team of roughly 5–10 engineers
• Strengthen team capability through cross‑training, mentorship, and structured development
• Lead mid‑size development projects (up to 5 engineers per team)
• Define and execute software development plans for assigned product lines
• Develop and maintain product software roadmaps
• Balance project portfolios to maximize technical and business impact
• Drive standardization of development processes, tools, KPIs, and best practices
• Ensure alignment and collaboration with global Software Directors, Product Management, Process Engineering, Platform Engineering, Manufacturing Engineering, and other stakeholders
• Maintain a strong partnership with software quality teams to ensure first‑time‑right, high‑quality releases
• Measure and maintain internal customer satisfaction
• Provide mentorship to junior engineers and contribute to department‑level process improvements
• Design, develop, and troubleshoot software for semiconductor equipment control systems
• Modify and improve existing software architectures
• Write, review, and maintain system specifications, software design documents, and test plans
• Investigate internal/external issues, conduct root‑cause analysis, and propose effective solutions
• Evaluate and recommend new tools and technologies for department adoption
• Participate in system‑level design discussions
• Support marketing with technical inputs for customer proposals and product specifications
• Provide onsite support as needed, including installations, training, and troubleshooting
• Create accurate development schedules and deliver to commitments
• Support department operations through policy creation, process updates, and continuous improvement initiatives

Education

• BS degree in Computer Science or related field with 10+ years of relevant experience.
• Advanced technical degree preferred.
• Equivalent combinations of education and experience will be considered.

Experience Requirements

• 10+ years of software development experience, including:
  • C++, C#, Python
  • Windows application development
  • Multi‑threaded and real‑time systems
  • Device drivers or interrupt‑driven software
  • Machine control systems in semiconductor or industrial automation environments

• Strong proficiency in C/C++/.NET
• Experience with software engineering tools including debuggers, source control, build systems, and text editors
• Ability to read, analyze, and translate existing code
• Strong system‑level thinking—capable of understanding how new functionality fits into complex equipment architectures
• Ability to interpret specifications, design documents, APIs, and interface requirements
• Ability to evaluate and adopt new tools and technologies to improve development efficiency

Preferred experience:

• Windows Embedded OS
• GUI development
• Data communication & networking
• Semiconductor industry standards (SEMI, etc.)

** This position is not eligible for visa sponsorship. Candidates cannot require sponsorship now or in the future**

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.

FSR Analyst

Minimum Secret Clearance Required

Locations: 

• Miami FL,
• Bragg NC,
• Vandenberg CA,
• CO Springs CO,
• Hawaii,
• Las Vegas NV,
• Newport News VA,
• San Diego CA,
• Camp Lejune NC,
• Washington DC,
• Shreveport LA
• Jacksonville FL,
• Tucson, AZ
• Fort Walton Beach, FL
• San Francisco, CA
• Juneau, Alaska

PVM, Inc. is looking for a skilled and experienced Field Service Representative (FSR) Analyst to join our team. In this role, you will partner with implementation teams to design, develop, and deploy advanced technical solutions that address our customers' most complex challenges. As an FSR Analyst, you will work directly with analysts to train and mentor users, troubleshoot technical issues, and create innovative use cases. Whether supporting users on-site worldwide or collaborating with colleagues in our offices, you will be instrumental in driving success and delivering meaningful results.

Responsibilities

• Deliver one-on-one desk-side training to analysts.
• Conduct classroom training sessions for analysts and operators.
• Support the Help Desk by addressing user inquiries and collaborating with the engineering team to resolve technical issues.
• Provide the engineering team with user feedback to enhance the product.  

Requirements

• Minimum of Secret Clearance
• Experience fusing intelligence capabilities in support of operations.

• Prior experience with Palantir Gotham required. Additional experience with Palantir Gaia and Palantir Foundry is a plus.
• Strong communication skills with the ability to break down, explain, and demonstrate complex concepts in an easy-to-understand manner.
• Ability to travel domestically and internationally 25% of the time.
• Ability to work independently and as part of a team.
• Strong knowledge of Excel.
• Military/Special Operation/Law Enforcement experience is a plus.

Tools

• Technical background with working knowledge of HTML, Ruby, Python and/or Java, as well hardware, networks, and server administration.

• Technical background with working knowledge of Python, Java and/or JavaScript/Typescript.

• Prior experience with Palantir Gotham required. Additional experience with Palantir Gaia and Palantir Foundry a plus.
• Strong knowledge of Excel

Skills

• Strong communication skills with the ability to break down, explain, and demonstrate complex concepts in an easy-to-understand manner
• Ability to travel domestically 25% of the time if needed
• Ability to work independently and as part of a team.

Why PVM?

At PVM, we mean it when we say we value diversity. As a PVM team member, you will work with people from all different backgrounds that are passionate about the problems we solve for our customers and are focused on delivering value for our clients. Our culture encourages problem solving, leadership, and innovation, and creates an environment that will support your professional and personal growth.

PVM delivers digital services that help government agencies unlock the power of their data for good and maximize the value of their technology investments. We design, develop, and deploy solutions to solve mission-critical problems. PVM is a black- and service-disabled veteran-owned small business and was founded by a retired Naval officer out of frustration with the status quo with one goal in mind: to help his fellow Shipmates solve the problems they were facing every day. Today, we continue to be driven by that same goal, and are focused on taking on our clients’ missions as our own to make a difference in the communities we serve.

PVM believes in equal opportunity employment. We won't discriminate against any employee or applicant based on race, gender, nationality, age, religion, disability, military status, or sexual orientation. As a company and as individuals, we're committed to providing an inclusive and welcoming environment for our team, our family members, and our clients.