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ai software engineer manager risk engineering

SoFi

<div><div>Employee Applicant Privacy Notice

Who we are:
<div>
Shape a brighter financial future with us.

Together with our members, we're changing the way people think about and interact with personal finance.

We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
</div></div>
The role:

As a Manager - AI Software Engineer, you will play a critical, hands-on role in managing a high-performing team while building, deploying, and optimizing scalable, real-time, full-stack custom applications, from traditional workflows and user interfaces, to applications powered by the latest advances in AI. You are a seasoned and experienced full-stack engineer with deep expertise in designing and delivering software solutions from the UI to the data back-end. You roll up your sleeves to have a &quot;code first&quot; approach. You will work across cross-functional delivery teams to shape technical architecture, champion engineering best practices, lead technical design, mentor engineers, drive product management engagement, and ensure successful delivery of high-value solutions for our users.

What you'll do:
<ul>
<li>Own the end-end full-stack engineering infrastructure, and drive technical delivery from ideation and requirements decomposition through to deployment and continual improvement, ensuring alignment with product and business goals.</li>
<li>Engage with product, design, and business stakeholders to align technical strategy, drive decision-making, and deliver high-impact solutions.</li>
<li>Architect, design, and build end-to-end user-facing applications using rich interactive user-interfaces. You will remain hands-on, leveraging your expertise working with information extracted from databases and APIs (including native database functions such as Snowflake Cortex for advanced AI workloads).</li>
<li>Participate in the design of and partner with AI specialists in the implementation of production-grade, scalable multi-agentic AI applications enabling autonomous, stateful, and collaborative agent workflows for complex, real-world problem solving.</li>
<li>Manage deployment pipelines and infrastructure as code using ArgoCD, GitLab CI/CD, and AWS best practices.</li>
<li>Deploy, optimize, and monitor workflows on enterprise frameworks.</li>
<li>Automate real-time and batch data flows using orchestration tools such as Apache Airflow.</li>
<li>Lead code and design reviews, making critical technical decisions for AI-driven services.</li>
<li>Stay current with software engineering, AI, LLM infrastructure, and the evolving tooling ecosystem; generate ideas to expand product capabilities and technical reach.</li>
<li>Lead and mentor a team of talented software engineers, fostering a culture of technical excellence, ownership, and innovation.</li>
</ul>
What you'll need:
<ul>
<li>Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.</li>
<li>9+ years of professional software engineering experience, with a heavy focus on full-stack custom product delivery, including experience leading engineering teams, projects, or functions.</li>
<li>Proven track record of simultaneously delivering high-quality, production-grade, scalable, and highly available cloud-based services, and managing project and delivery milestones.</li>
<li>Solid DevOps and infrastructure-as-code experience using ArgoCD and GitLab for deployment, CI/CD, and environment management.</li>
<li>Advanced proficiency in React, Node.js, and front-end&ndash;to&ndash;back-end custom app development.</li>
<li>Extensive hands-on experience with database platforms - Snowflake strongly preferred, including advanced features, AI/ML integrations, and Snowflake Cortex.</li>
<li>Deep expertise in orchestrating real-time and scheduled pipelines with Airflow.</li>
<li>Strong communicator; able to collaborate and drive decision-making with cross-functional stakeholders, including product management.</li>
<li>Willingness to take ownership, mentor others, and champion learning and innovation within the organization.</li>
</ul>
Nice to have:
<ul>
<li>Prior fintech or high-throughput consumer product experience.</li>
<li>Exposure to cloud-native or AI workflow orchestration platforms.</li>
<li>Experience deploying and scaling LLM-powered chatbots or retrieval-augmented generation (RAG) platforms.</li>
</ul><div><div>Compensation and Benefits</div>
<div>The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location.</div>
<div></div>
<div>To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!</div>
<h5 class="jobSectionHeader">SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.</h5>
<h5 class="jobSectionHeader">The Company hires the best qualified candidate for the job, without regard to protected characteristics.</h5>
<h5 class="jobSectionHeader">Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</h5>
<h5 class="jobSectionHeader">New York applicants: Notice of Employee Rights</h5>
<h5 class="jobSectionHeader">SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.</h5>
<h5 class="jobSectionHeader">Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.</h5>
<div>Internal Employees</div>
<div>If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.</div></div></div>

AI Software Engineer Manager, Risk Engineering

NTT DATA

<div></div><div><div><div><div>Location</div>
 San Francisco, US </div></div><div><div><div>This job is associated with 2 categories </div><div>See all</div></div></div></div>
 <div><div>Req ID: 360815
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a SASS Software Developer - Onsite to join our team in San Francisco, California (US-CA), United States (US). 
As part of the Digital Risk Management team, this role is for a senior software developer for our B2B and B2C SaaS products, with a focus on building secure, scalable, and customer-centric platforms. It will be hands-on with full-stack development.
Responsibilities:<ul><li>
Feature Development &amp; Delivery</li><li>
Deliver new technical features for B2B and B2C SaaS products.</li><li>
Work closely with fellow engineers, the Product Manager, and UX Designer to scope 
engineering requirements and timelines for features.</li><li>
Anticipate and communicate blockers and delays before they require escalation.</li><li>
Continuously help improve the engineering culture, including practices and processes.</li><li>
Explore and prototype the use of generative AI and large language models (LLMs) to 
drive product innovation.</li></ul><div></div><div> 
Programming &amp; Implementation</div><ul><li>
Write and deliver clean, maintainable, and well-tested code.</li><li>
Implement front-end UI components using TypeScript and React Framework.</li><li>
Implement RESTful API endpoints using TypeScript and Node.JS.</li><li>
Participate in peer code reviews to maintain code quality and adhere to engineering best 
practices.</li><li>
Collaborate with developers to build reusable code and libraries for future use.</li><li>
Implement software security requirements.</li><li>
Leverage new and cutting-edge developer tools to enhance productivity and code 
quality.</li><li>
Integrate APIs and services to deliver intelligent product features where applicable. 
Software Design</li><li>
Design API endpoints for features, define schemas, and generate documentation.</li><li>
Design reusable and scalable React components for the front-end UI.</li><li>
Make sound software design decisions with a focus on customer experience.</li><li>
Consistently create optimal designs adhering to architectural best practices.</li><li>
Consider system performance, scalability, and reliability when defining technical 
designs.</li><li>
Design and implement Model Context Protocol (MCP) and Retrieval-Augmented</li><li>
Generation (RAG) pipelines to enable smart solutions</li></ul><div></div><div> 
Testing &amp; Quality Assurance</div> 
<div></div><ul><li>
Deliver well-tested code.</li><li>
Write unit tests for APIs and front-end components.</li></ul><div></div><div> 
Maintenance &amp; Support</div> 
<ul><li>
Troubleshoot, debug, maintain, and improve existing software.</li><li>
Fix bugs, performance issues, and security vulnerabilities in the software.</li><li>
Occasionally be on-call to resolve customer issues and address server alerts as needed</li></ul>
Required skills and qualifications, working experience<ul><li>
8+ years of experience in software engineering.</li><li>
Experience writing code in JavaScript/TypeScript, HTML5, CSS3, or related 
applications.</li><li>
Experience with front-end technologies and frameworks, preferably React.</li><li>
API design and development experience. Node.JS experience desired.</li><li>
Experience with application, network, and cloud security.</li><li>
Experience with building and architecting microservices.</li><li>
Strong computer science fundamentals and problem-solving/analytical skills.</li><li>
Familiarity with version control systems (e.g., Git, SVN).</li><li>
Understanding of agile software development lifecycle and DevOps principles.</li><li>
Preferred ability to write unit tests. Ideally, experience with testing frameworks such as 
Mocha, Jest, etc.</li><li>
Preferred understanding of SaaS (Software as a Service) product architectures, 
AWS/Azure/Google Cloud Stack, and networking.</li><li>
Familiarity with developer tools like Claude Code. Experience with designing AI- 
enhanced systems such as Model Context Protocol (MCP), Retrieval-Augmented 
Generation (RAG) pipelines, and vector databases (e.g., Pinecone, Weaviate).</li><li>
Required strong verbal and written communication skills, including the ability to 
communicate and explain technical decisions.</li></ul><div></div><div> 
Education Requirements</div> 
<div></div><ul><li>
Bachelor&rsquo;s degree in Computer Science or equivalent work experience</li></ul> 
About NTT DATA
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world&rsquo;s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&amp;D. 
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client&rsquo;s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us. 
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here. 
#LI-NorthAmerica</div></div>

SASS Software Developer - Onsite

Handshake

<div>
 
 About Handshake
 
 
 
 Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.
 
 
 
 Why Join Handshake Now
 
 
 
 <ul>
 <li>
 Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel
 </li>
 <li>
 Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions
 </li>
 <li>
 Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others
 </li>
 <li>
 Build a massive, fast-growing business with billions in revenue
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 As a Software Engineer, you will play a critical role in building the products and systems that power Handshake&rsquo;s core user experiences&mdash;from search and discovery to onboarding and beyond. You&rsquo;ll work across the full stack, shipping features that directly impact how millions of users find opportunities, connect with employers, and launch their careers.
 
 
 You&rsquo;ll collaborate closely with product managers, designers, and other engineers to deliver polished, end-to-end experiences in a fast-paced, mission-driven environment. Whether you&rsquo;re building AI-powered features, scaling backend systems, or crafting intuitive frontends, your work will have real, measurable impact on users at scale.
 
 
 
 Location: San Francisco, CA | 5 days/week in-office
 
 
 
 <ul>
 <li>
 Design and implement scalable full-stack systems powering core user journeys, including search, discovery, matching, and onboarding flows.
 </li>
 <li>
 Build and iterate on product features across frontend and backend surfaces, balancing speed with code quality and correctness.
 </li>
 <li>
 Ship backend APIs, asynchronous workflows, and frontend experiences that are reliable, scalable, and intuitive.
 </li>
 <li>
 Partner closely with product managers and designers to translate requirements into polished, end-to-end user experiences.
 </li>
 <li>
 Write high-quality, maintainable code while contributing to code reviews and engineering best practices.
 </li>
 <li>
 Debug and resolve issues related to system reliability, user flows, and performance.
 </li>
 <li>
 Contribute to architectural decisions and help establish patterns for scalable, secure deployments.
 </li>
 <li>
 Grow toward increased technical ownership by learning from senior engineers on the team.
 
 
 </li>
 </ul>
 
 Desired Capabilities
 
 
 
 <ul>
 <li>
 2+ years of professional software engineering experience building full-stack applications.
 </li>
 <li>
 Strong proficiency in TypeScript, with comfort working across frontend and backend.
 </li>
 <li>
 Experience with modern web stacks (e.g., React, Next.js, GraphQL, Ruby on Rails).
 </li>
 <li>
 Solid understanding of relational databases (e.g., PostgreSQL) and data modeling.
 </li>
 <li>
 Product-oriented mindset with a focus on user experience and business outcomes.
 </li>
 <li>
 Strong communication skills and comfort collaborating cross-functionally with product, design, and other engineering teams.
 </li>
 <li>
 Comfortable working in a fast-paced, dynamic environment with a focus on continuous learning and improvement.
 
 
 </li>
 </ul>
 
 Extra Credit
 
 
 
 <ul>
 <li>
 Experience with AI-powered products, chatbots, conversational interfaces, or agentic frameworks (e.g., OpenAI APIs).
 </li>
 <li>
 Familiarity with workflow orchestration tools such as Temporal or asynchronous job systems.
 </li>
 <li>
 Exposure to matching systems, marketplaces, or multi-step onboarding flows.
 </li>
 <li>
 Experience with cloud infrastructure (AWS, GCP) and deployment pipelines.
 </li>
 <li>
 Background at high-growth or scaling technology companies.
 </li>
 <li>
 Familiarity with component libraries, design systems, and building reusable interfaces for rapid deployment.
 
 
 </li>
 </ul>
 
 Perks
 
 
 
 Handshake delivers benefits that help you feel supported&mdash;and thrive at work and in life.
 
 
 
 
 The below benefits are for full-time US employees.
 
 
 
 
 🎯
 
 Ownership:
 
 Equity in a fast-growing company
 
 
 💰
 
 Financial Wellness
 
 : 401(k) match, competitive compensation, financial coaching
 
 
 🍼
 
 Family Support:
 
 Paid parental leave, fertility benefits, parental coaching
 
 
 💝
 
 Wellbeing:
 
 Medical, dental, and vision, mental health support, $500 wellness stipend
 
 
 📚
 
 Growth:
 
 $2,000 learning stipend, ongoing development
 
 
 💻
 
 Remote &amp; Office:
 
 Internet, commuting, and free lunch/gym in our SF office
 
 
 🏝
 
 Time Off:
 
 Flexible PTO, 15 holidays + 2 flex days
 
 
 🤝
 
 Connection:
 
 Team outings &amp; referral bonuses
 
 
 Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.
 
 
 Compensation Range: $145K - $170K
 
 
</div>

Software Engineer

OpenAI

<div>
 
 About The Team
 
 
 
 The Applied team works across research, engineering, product, and design to bring OpenAI&rsquo;s technology to consumers and businesses.
 
 
 We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.
 
 
 
 About The Role
 
 
 
 We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide business decisions, product growth, and prevent bad actors. If you're passionate about working with data and are eager to create solutions with significant impact, we'd love to hear from you. This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them train new models to deliver to users. As we continue our rapid growth, we value data-driven insights, and your contributions will play a pivotal role in our trajectory. Join us in shaping the future of OpenAI!
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse.
 </li>
 <li>
 Develop canonical datasets to track key product metrics including user growth, engagement, and revenue.
 </li>
 <li>
 Work collaboratively with various teams, including, Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions.
 </li>
 <li>
 Implement robust and fault-tolerant systems for data ingestion and processing.
 </li>
 <li>
 Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear.
 </li>
 <li>
 Ensure the security, integrity, and compliance of data according to industry and company standards.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience(including data engineering).
 </li>
 <li>
 Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.
 </li>
 <li>
 Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS, S3).
 </li>
 <li>
 Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks.
 </li>
 <li>
 Solid understanding of Spark and ability to write, debug and optimize Spark code.
 
 
 </li>
 </ul>
 This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.
 
 
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
 
 Compensation Range: $230K - $385K
</div>

Data Engineer, Analytics

Owner.com

<div>About Owner.com
Owner is the AI growth system for local restaurants. 
Our AI continuously improves SEO, marketing, and online ordering to grow first-party orders. Unlike other companies that force small business owners to master their software to drive sales, Owner gives them a proven system run by experts. 
Owner is like having an army of engineers and marketers on your side, just like the big chains. 
Our vision
We&rsquo;re starting by helping independent restaurants succeed online. 
But it&rsquo;s not just restaurants that need our help. Most local businesses are struggling with these same problems. Huge technology corporations are taking their customers, bleeding their profits, and making it hard for them to survive. 
Once we nail the solution for restaurants &ndash; we&rsquo;ll scale it into every other local business type. 
In the future we envision, tens of millions of local business owners will use our technology to succeed in the digital age. 
Read our Series C memo here 
Our traction
Since 2020, we've generated tens of millions in revenue and processed over half a billion dollars of online orders. 1 in 5 Americans have used an Owner.com website. 
More importantly, we&rsquo;ve helped over 20,000 restaurant owners, and saved them nearly $200 million in fees. 
Our team
Our team is now in the low hundreds. We&rsquo;ve got top talent from the most successful companies in SMB software, including: Shopify, HubSpot, DoorDash, ServiceTitan, Rappi, Faire and Stripe. 
We&rsquo;ll be scaling even faster in 2026 to keep pace with our customer growth. 
Where we work
Owner is a remote-first, global company headquartered in San Francisco, with a sales hub in Toronto. For a few of our roles we prioritize in-person collaboration at one of our office locations. Most of our teammates are distributed throughout the globe. Please review the role description and discuss with your recruiter for more details on location! 
Why we&rsquo;re looking for you
We&rsquo;re looking for a Device Lab Engineer to build and run Owner&rsquo;s device testing lab for our new POS product line. This lab will be the source of truth for validating hardware and software combinations across tablets, routers, card readers, printers, and other peripherals, and ensuring every release works across the real-world matrix our restaurants depend on. 
You&rsquo;ll be our first dedicated lab hire: an individual contributor who can bring structure, speed, and confidence to a fast-moving hardware + software environment. This role sits at the intersection of product engineering, QA, and operations &mdash; and will help define the standard for what &ldquo;ready to ship&rdquo; means for Owner POS. 
This is a hybrid role located in San Francisco, California.
The impact you will have<ul><li>
Own the device lab end-to-end: procure, provision, organize, and maintain a fleet of POS tablets, networking equipment, payment devices, printers, and related peripherals.</li><li>
Define and execute device validation plans across changing variables including: hardware models and revisions device configuration and provisioning states OS versions and patch levels Owner POS application versions peripheral firmware and connection types (USB, Bluetooth, Wi-Fi, Ethernet)</li><li>
Build and maintain a testing matrix that captures supported and in-progress combinations; continuously expand coverage as we add new devices and markets.</li><li>
Create and evolve SOPs for hardware/software testing, device setup, troubleshooting, and re-qualification when any variable changes.</li><li>
Run regression and acceptance testing for POS releases, peripheral integrations, and OS/firmware updates; clearly document results and risks.</li><li>
Investigate and root-cause device issues by reproducing bugs in the lab, isolating variables, and partnering with engineering to land fixes.</li><li>
Partner cross-functionally with POS Engineering, Mobile/Backend, Payments, Support, and Product to drive lab priorities and release readiness.</li><li>
Improve lab efficiency over time, including lightweight automation for repeatable test flows, inventory tracking, and device health monitoring.</li><li>
Help define lab strategy as we scale: what to standardize, what to automate, and what future hires or tooling will be needed.</li></ul>
What we&rsquo;re looking for<ul><li>
5+ years in device, hardware, systems, or integration testing - ideally in POS, payments, mobile, IoT, or consumer electronics.</li><li>
Hands-on experience testing integrated hardware + OS + application + peripherals in real device environments (not just simulators).</li><li>
Experience using or administering Mobile Device Management (MDM) solutions to provision, configure, secure, and maintain fleets of tablets/devices (e.g., Esper, Microsoft Intune, VMware Workspace ONE (AirWatch), Jamf, Kandji, SOTI MobiControl, Scalefusion, or Hexnode, or similar).</li><li>
Comfortable with device provisioning, OS flashing/updating, firmware management, and peripheral bring-up.</li><li>
Experience building test automation for hardware/device workflows (even small scripts or harnesses).</li><li>
Track record of defining, documenting, and maintaining SOPs for test labs or hardware/software validation processes.</li><li>
Strong instinct for building clear test matrices, prioritizing risk-based coverage, and spotting gaps before they ship.</li><li>
Strong debugging skills: logs, repro steps, variable isolation, and communicating findings clearly to engineers.</li><li>
Organized, detail-oriented lab operator who can manage inventory, keep environments consistent, and maintain high signal test results.</li><li>
Ability to thrive in ambiguity and build new functions from zero to one.</li></ul> 
Pay and benefits<ul><li>
The estimated base salary range for this role is $170,000 - $190,000 plus a generous pre-IPO equity package</li><li>
Other benefits include comprehensive health coverage, remote-first workplace, unlimited PTO - plus extra fun perks!</li></ul> 
Notice - Employment Scams
Communication from our team regarding job opportunities will only be made by an Owner team member with an @owner.com email address.
We do not conduct interviews over email or chat platforms, and we will never ask you to provide personal or financial information such as your mailing address, social security number, credit card numbers or banking information. If you believe you are being contacted by scammer, please mark the communication as &quot;phishing&quot; or &ldquo;spam&rdquo; and do not respond.</div>

Senior Device Lab Engineer

FutureSight

<div>FutureSight is seeking an experienced, visionary Founding CEO to lead the launch of a new AI-native platform that transforms how architecture, engineering, and construction (AEC) firms win project pursuits and proposals.
AEC firms are drowning in complexity. Proposal and marketing teams juggle chasing technical experts, searching through outdated project experience and content, and manually tracking requirements across RFQs, RFPs, and qualification packages &mdash; coordinating across business development, technical leaders, and executives under tight deadlines.
The result: slower submissions, inconsistent win rates, and significant operational strain in a process directly tied to firm growth and backlog visibility.
We&rsquo;re building BidOps &ndash; an AI-native proposal platform for AEC firms that automates requirement and compliance tracking, intelligently reuses institutional knowledge and proposal content, and streamlines coordination across technical experts.
Firms move faster, reduce submission risk, and pursue more opportunities with the same teams.
As Founding CEO, you will<ul><li>
Win customers &mdash; Run pilots, shape pricing, and validate retention + expansion.</li><li>
Build the product &mdash; Work with FutureSight&rsquo;s product/engineering pod to launch V1.</li><li>
Raise capital &mdash; Lead the seed round with our initial investment.</li><li>
Build your team &mdash; Hire your founding team and set the cultural foundation.</li></ul>
About FutureSight
FutureSight is a venture studio that co-creates and invests in B2B SaaS and Vertical AI startups alongside exceptional entrepreneurs. We give founders an unfair advantage &mdash; pairing hands-on studio support with early capital, thereby reducing risk and increasing the odds of success by 10x.
We&rsquo;re led by a cross-functional team of builders and investors. Kevin Nguyen and Alan Smith lead venture design and product strategy. Prathna Ramesh applies her experience as a venture investor with capital strategy in every new business. Dennis Ensing mentors our ventures with operational and strategic expertise, Krista LaRiviere brings years of entrepreneurial and marketing experience as a multi-time exited founder, and Anupama Joshi drives founder excellence. John Carbrey (San Francisco), a successful software entrepreneur and people leader, adds deep insight into scaling startups from 0 to 1, having built and exited multiple prior SaaS ventures.
What We Bring<ul><li>
Validated problem &mdash; You will enter a venture with a proven market need and strong momentum toward building and scaling.</li><li>
Studio bench strength &mdash; Designers, engineers, growth marketers, and fundraising pros are embedded from Day 1.</li><li>
Capital commitment &mdash; Initial pre-seed funding for early hires and building the MVP with potential for follow-on funding, and access to our investor and advisor network.</li></ul>
What You Bring<ul><li>
Founder-level drive &mdash; You&rsquo;re motivated to co-found a new venture as the CEO. With or without us, this is your calling.</li><li>
Startup scrappiness &mdash; You know what you&rsquo;re signing up for. You&rsquo;re familiar with the scrappiness of owning something from start to finish.</li><li>
Previous founding experience &mdash; You have co-founded a product company or B2B SaaS venture, or have been at a venture-backed company.</li><li>
Risk appetite and capacity &mdash; Read more on our post on the Entrepreneurial Risk Profile.</li><li>
GTM chops &mdash; Proven success in B2B SaaS sales, marketing, and customer engagement.</li><li>
Fundraising fluency &mdash; Able to craft investor narratives and close capital; well-networked in fintech and early-stage communities.</li><li>
People leadership &mdash; Magnet for top talent; coach and culture carrier.</li><li>
Industry experience &mdash; Background in government contracting, proposal management, or B2B SaaS for professional services.</li></ul>
What You Can Expect<ul><li>
Daily active engagement with our team to: launch initial product, achieve initial market traction and prepare for seed fundraise.</li><li>
Full P/L ownership of the new entity.</li><li>
A significant equity stake in the business.</li><li>
This is a full-time role; we are seeking someone to dedicate themselves full-time and exclusively to building and owning a new SaaS venture.</li></ul>
Ready to build? 
If this is the perfect opportunity for you, we want to hear from you!
Submit your Resume and LinkedIn profile and tell us more about why you think we should chat!
FutureSight is committed to diversity, equity, and inclusion. We welcome applicants of all backgrounds and experiences.</div>

Co-Founder & CEO - AI for AEC Project Proposals

Amazon

<div>
 
 Description
 
 
 
 As an Operations Engineer, you will lead and manage the lifecycle of challenging cross-functional projects, developing and delivering the next generation of sortation and distribution solutions. You are a customer obsessed leader that will play an integral part in planning and implementation of the facility network infrastructure including new builds, retrofits, expansions and program initiatives. Partnering with internal customers and internal/external stakeholders to engage as a team and ensure a timely handover will be part of your critical tasks.
 
 
 As an Operations Engineer for Amazon, you will work with some of the most talented engineers in the design, development, and delivery of physical distribution systems around the globe. You are responsible for managing a technology or integration project, successfully delivering the solution to meet project goals. You may work directly with external equipment vendors, customers, or partners, and you have a solid understanding of the design approaches and industry technologies utilized in fulfillment and distribution center designs. To meet timelines and minimize disruption to support teams, you manage the overall schedule, proactively mitigate risks, and keep the scope of engineering deliverables under control.
 
 
 This role requires up to 80% travel and availability to work from a corporate office when not traveling. Candidates should either live near or be willing to relocate within a reasonable commuting distance of the office. Relocation assistance may be provided.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Work independently with internal and external teams to successfully manage the lifecycle of challenging projects, and act as owner in delivering on project objectives and targets. Projects may span organizations or geographies in support of business objectives.
 </li>
 <li>
 Actively participate in firm engineering reviews, and make tangible impact on the proposed solutions on an individual system or its components, on the overall systems architecture, and on facility processes.
 </li>
 <li>
 Partner with internal teams, stakeholders and external vendors to set project priorities, establish milestones, and drive schedules to meet deadlines. Proactively assess stakeholders&rsquo; dependencies and milestones, problem-solve and drive solutions to mitigate the impact from the issues.
 </li>
 <li>
 Lead and coordinate all execution efforts in delivering systems and automated equipment designs per established standards and guidelines. Perform equipment/system installation, throughput and safety qualifications. Simplify, optimize, remove bottlenecks and provide feedback while resolving difficult system problems or technical deficiencies.
 </li>
 <li>
 Lead effective meetings by setting the objectives, putting the right people in the room and driving detailed business and technical discussions/alignment. Document meeting discussions, decisions and future steps, ensuring alignment on expectations with internal partner teams and outside vendors.
 </li>
 <li>
 Promptly and accurately communicate project status, risk analysis and risk mitigation plans. Effectively answer project questions in detail, and regularly produce clear and concise summaries for the project to leadership/management team.
 </li>
 <li>
 Competently articulate system and/or equipment designs, including layouts, technical specifications and functional capabilities to internal customers and partner teams.
 </li>
 <li>
 Efficiently manage change order controls, purchase orders, and invoice validation/approvals.
 </li>
 <li>
 Excel at building strong working relationships with internal and external stakeholders across multiple projects.
 </li>
 <li>
 Identify and lead process improvement initiatives that improve the Engineering and cross-teams&rsquo; efficiencies, optimizing the teams&rsquo; value and delivery. Through collaboration, generate high-quality, cost-effective solutions in compressed periods of time.
 </li>
 <li>
 Up to 80% travel domestically although travel intensity can be variable and consist of up to three weeks in a row, including weekends.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in Industrial Engineering, Mechanical Engineering, or other STEM field
 </li>
 <li>
 4+ years of experience as a Project Engineer, Process Engineer, Project Manager, Manufacturing Engineer, or related occupation
 </li>
 <li>
 Experience managing the lifecycle of cross-functional projects, implementing automated equipment and/or integrated systems
 </li>
 <li>
 Experience with CAD software (AutoCAD, REVIT, BIM 360, etc.)
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Engineering, Operations, Business Administration, or a related STEM field
 </li>
 <li>
 Operations Management/Distribution Center experience with direct management or responsibility for material handling, automation, or other technical projects
 </li>
 <li>
 Experience with Six Sigma and/or Lean Manufacturing
 </li>
 <li>
 Experience with Microsoft Project, Smartsheet programs
 </li>
 <li>
 Experience with design and/or implementation automation solutions, such as Conveyors, Sorters, high speed manufacturing and packaging lines, Robotic work cells
 </li>
 <li>
 Proven technical leadership for industrial engineering projects or program
 
 
 </li>
 </ul>
 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
 
 
 Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
 
 
 Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
 
 
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $68,900/year in our lowest geographic market up to $126,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
 
 
 
 
 Company
 
 - Amazon.com Services LLC
 
 
 Job ID: A2893081
</div>

Operations Engineer, Operations Engineering

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