Experienced Engineering Technical Specialist in United States

The pay range is $75,400.00 - $135,700.00 Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits . Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here . As an Engineer, you serve as one of the technical anchors for the mobile engineering team that supports a product. Core responsibilities of this job are described within this job description.

Lead RF Engineer - Aperture Architect Company: The Boeing Company Boeing Defense, Space & Security is seeking a Lead RF Engineer – Aperture Architect to serve as the engineering lead for the antennas and apertures on a major air proprietary program. As the Lead RF Engineer – Aperture Architect, you will provide technical leadership and drive technical execution in the development of advanced RF antennas that balance performance across sensing, structural, and low observable requirements. You will be the technical lead for a team of engineers designing and integrating modern RF apertures and antennas. You will work with the IPT leader and IPT Chief Engineer to ensure the team produces a compliant system design. Position Responsibilities: Drives technical excellence throughout all aperture design activities Provides technical leadership and ensures use of best practices across programs Provides oversight and approval of technical approaches, products, and processes. Works closely with program managers, program chief engineers, and other Boeing teams to ensure mission success and prompt resolution of anomalies Provides mentoring and coaching to other aperture design engineers Captures lessons learned and best practices for implementation on future programs Resolves complex problems impacting completion of program milestones Basic Qualifications (Required Skills and Experience): Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement <

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Vanta's Product Marketing team sits at the intersection of Product, Engineering, Sales, and Customer Success. We define positioning and narrative for Vanta's platform, translate roadmap into go-to-market motions across big launch moments and releases, and make sure the field can sell what Product is building; with research, storytelling, and cross-functional partnership as the core of how we work. About the role AI is one of Vanta's most strategic bets, and it needs a dedicated owner. This PMM will be focused on bringing the AI roadmap to market in close partnership with EPD. You'll own the narrative, messaging, and positioning for Vanta’s AI story end-to-end, and be the connective tissue between what Engineering and Product are building and how the market, field, and customers understand it. You're expected to shape our AI story and define Vanta as a leader in the space, which means you’re fast-moving and nimble, have enough technical fluency to have a real point of view in roadmap conversations with EPD (including getting hands-on and testing the product yourself), paired with the storytelling and creativity to bring a unique, differentiated story to market. What you’ll do as a Product Marketing Manager at Vanta: Own the AI pillar narrative and roadmap end to end Own the AI pillar narrative at key events like VantaCon, including keynote support, breakout sessions, and customer testimonials Ensure a cohesive AI narrative across pillars so AI messaging holds together whether it's showing up in Compliance, Risk, or Proof contexts Partner directly with EPD to understand what's being built, influence roadmap sequencing from a mark

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. You will build the operating system for EPD — the systems, agents, and practices that make engineering, product, and design unreasonably effective at delivery, with Jira as the substrate. The EPD Systems team is building the infrastructure Vanta's engineering, product, and design organization depends on to understand itself and operate well. We're constructing three interlocking layers: sources of truth at the foundation, a shared interpretive layer that reasons across all of them, and the operating system that makes the work itself legible. This role owns the operating system. This is not a traditional PMO or status-reporting role. You build — agents, automation, workflow design, and the practices that make teams want to use the system rather than route around it. What you’ll do as a Senior Systems Designer at Vanta: Design and own workflow and hierarchy across engineering, product, and design in Jira Make sure Jira reflects real practice, and real practice reflects what needs to show up in Jira — in both directions Build the agents and automation that run the system yourself, with AI as part of how you work Drive adoption: go to the teams whose practice doesn't match the substrate today and change that — through conversation, well-built artifacts, or clear instruction that works without you in the room Understand delivery breakdowns at the mechanism level and build fixes that address the root cause, not the symptom Build alongside teammates who are growing into more technical work — raise their ceiling, not just your own output How to be successful in this role: You build and ship, recently, with AI as part of how you work. "

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. You will own the data Vanta's EPD organization actually runs on — bringing new signal sources online, standardizing them at the point of ingestion, and building the systems that make the underlying data trustworthy rather than merely stored. The EPD Systems team is building the infrastructure Vanta's engineering, product, and design organization depends on to understand itself. Not by asking teams to be more diligent but by going to the source, processing it, standardizing it, and pushing value back out so each source of truth earns its own adoption. What you’ll do as a Operations Manager, Signal Systems at Vanta: Bring new signal sources online end to end — from discovery and scoping through ingestion, standardization, and live operation Identify the specific failure modes in each information source and build systems that mitigate them at the point of ingestion Go to the teams that produce and consume a signal, understand what the information actually means and what they need back from it, and build accordingly Replace human-diligence dependencies with engineering solutions: derive fields, pull from source systems, validate at write time Build alongside teammates who are growing into building — raise their technical ceiling, not just your own output Partner with the inference and systems layers to ensure what you produce is queryable, trustworthy, and ready to build on How to be successful in this role: You look at a data source and see its failure modes before its contents: where it lies, where it goes stale, where it's duplicated, where the schema won't hold at 10x Your first move on an adherence problem is an engineering an

About the team The Monetization Data Platform team builds the trusted data and platform foundations that power how the company develops, measures, and improves monetization products. We bring together product usage, pricing, billing, ads, payments, and financial data to help Product, Engineering, Finance, and GTM teams make better decisions and deliver reliable customer experiences. We work at the intersection of data engineering, product engineering, platform engineering, Finance, and GTM. Our goal is to turn complex monetization and financial data into accurate, explainable, and timely data products while building systems that scale with the growth and complexity of the business. About the role We are looking for a Data Engineer to improve and build the next generation of our monetization data platform. You will own high-impact systems end to end, from product instrumentation, source ingestion, and canonical modeling through quality controls, observability, and delivery to downstream consumers. This is a hands-on role for an engineer who enjoys solving ambiguous product and data problems, designing durable architectures, and partnering closely with Product Engineering, Finance, Accounting, and GTM. You will help define technical direction, raise the engineering bar, and turn monetization opportunities into trusted, scalable data products and platform capabilities. In this role, you will Design, build, and operate large streaming and batch data pipelines that process product, financial, and operational data from a variety of internal and external systems. Develop canonical data models and reusable data products for domains such as product usage, pricing, billing, ads, payments, revenue, and the general ledger. Establish strong guarantees for data accuracy, completeness, freshness, lineage, reconciliation, and auditability. Build frameworks and platform capabilities that improve developer productivity and make it easier for teams to launch, measure, and iterate on m

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE Lead large-scale brand campaigns across digital, events, and out-of-home. Partner with engineering and product marketing on major product launches. Turn complex technical ideas into clear, compelling visual communication. Evolve the Baseten visual identity into a brand system that scales. Own projects end-to-end, from concept through launch, collaborating directly with marketing, product, engineering, and leadership. Shape our employer brand and help define how new hires experience Baseten. Raise the bar for craft across every customer touchpoint. ABOUT YOU You have a portfolio of exceptional work with outstanding visual craft and attention to detail. You care deeply about quality and sweat the details. You communicate ideas clearly and thrive in collaborative environments. You know when to build systems, not just execute on assets. You default to ownership and are comfortable leading highly cross-functional projects from concept through launch. You're excited by technical products and know how to make complex ideas feel consumable without oversimplifying them. You thrive in a fast-moving environment with a high bar for quality. You have strong opinions about design and can articulate why something works - and why it doesn't. BONUS Motion design and animation experience Experience designing for developers or highly technical audiences. BENEFITS Competitive compensation, including meaningful equity. 100% covera

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As the Staff Product Manager, Data Platform at Vanta, you will be responsible for product strategy and direction for Vanta’s data platform. You’ll sit between the core platform and feature teams, driving the roadmap for transforming how we fetch, store, and use data from customers and 3rd parties at scale. This platform directly enables customer and business outcomes, and backs Vanta’s products and experiences. This is a highly impactful, technical role at the center of how Vanta works and meets customer needs at real scale. Vanta manages data from over 16,000 customers and is rapidly scaling daily. You’ll be part of Vanta’s Automation group, which owns how customers discover and connect to other platforms through integrations, use that data to power product experiences and tests, drive customers toward compliance-related security outcomes, and ultimately generate the evidence required for audit. You aren’t building Vanta’s service delivery platform - you’re building the engine that powers compliance and monitoring outcomes. Your team will be Foundations, which has wide scope and depth, and you’ll be the sole PM to support the data platform. What you’ll do as Staff Product Manager, Data Platform at Vanta: Own the impactful Data Platform roadmap, pairing closely with engineering counterparts to plan durable platform investments that serve our customers and products built on top of customer data Collaborate closely with other product teams to understand what platform investments they need to be successful, get ahead of their roadmaps, and create a plan that balances short and long term needs to support customer outcomes. Directly

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Sr. AI GTM Engineer on Vanta's GTM Engineering team, you will design and ship internal AI products and processes that completely transform how our go-to-market teams operate and win. You'll embed with Sales, Customer Success, and Revenue Operations to build novel applications and platforms that accelerate pipeline generation, improve win rates, and scale how Vanta engages customers. You will also own end-to-end outcomes, move quickly from concept to production, and directly shape how customers experience Vanta in the field. This role is ideal for AI-pilled builders who want to be close to users, solve complex business problems with elegant technical solutions, and define entirely new categories of enterprise software. Vanta's GTM Engineering team operates as an internal incubator: applying AI at scale to revolutionize customer engagement. We build high-impact tools that reshape conversations, learn from every customer interaction, and demonstrate the value of our platform in real-world scenarios. This team sits at the intersection of engineering and GTM, shipping solutions that range from rapid prototypes to production-grade systems. What you'll do as a Senior AI GTM Engineer at Vanta: Ideate and build products that transform how Vanta generates new business, interfaces with prospects and customers, and grows existing customer relationships Own the full product lifecycle: prototype, iterate, ship, and maintain solutions that solve real-world customer and internal workflow problems Partner closely with Vanta’s CRO and executive leadership teams to architect and execute plans that bring Vanta to the forefront of GTM orgs lev

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. Replit is experiencing extraordinary enterprise demand and seeking an Enterprise Account Executive with strong communication skills to drive our hyper-growth. Candidates with Enterprise SaaS experience, particularly with some technical background (i.e. having some coding knowledge or prior experience at other developer tool companies) are ideal. This full-cycle sales position encompasses both new client acquisition and existing customer support and retention, spanning all segments and geographies. We believe this role offers a distinctive opportunity for people who excel in client-facing situations and have a passion for driving sales and AI. You'll leverage your skills to effectively communicate Replit's value proposition: a world where anyone can create software using natural language. In this role you will: Evangelize a future where anyone can create software in natural language, ushering in a change in the nature of the firm on par with the PC era Serve as the primary point of contact for prospects and customers, guiding them through the buying journey Conduct compelling product demonstrations and help enterprises realize the art of the possible by orchestrating non-engineering hackathons Articulate Replit's value proposition and align it with customers' business objectives Collaborate with product and engineering teams to ensure technical accuracy and successful delivery Prepare tailored quotes and skillfully negotiate deals Maintain accurate customer and forecasting data in Replit’s CRM (Hubspot) Foster strong relationships with existing clients while identifying opportunities for expanded adoption Optimize customers' use of the Replit platform through ongoing collaboration and support Gather and communicate valu

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. The Enterprise Partnerships team at Plaid works with some of the most influential enterprise companies, helping bring Plaid’s solutions to market through high-impact partnerships. In this role, you’ll lead the acquisition of new partners and play a meaningful role in expanding a fast-growing, strategically important part of the business. In this role, you'll be the primary point of contact for Enterprise partners with a specific focus on managing our payment partners looking to leverage Plaid in a number of ways from Pay-by-Bank to account funding to KYC. You own the full partner lifecycle: from technical integration and "first customer live" milestones to scaling volumes and driving product expansion. You are a "corporate athlete" who thrives in ambiguity: you are just as comfortable diving into technical API specifications with an engineer as you are negotiating commercial terms with a C-suite executive. You will act as the internal quarterback, driving cross-functional work streams across Product, Legal, Engineering, and Marketing to align internal resources with partner needs. Successful candidates bring a blend of commercial prowess, high-level business acumen, and a proven track record of infl

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Making data driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide tooling and guidance to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively. Engineers on Data Infrastructure are domain experts in Data Warehouse, Data Lakehouse, Spark, Workflow Orchestration, and Streaming technologies. We scale our existing data pipelines in a performant and cost efficient way while creating the necessary abstractions to make developing on top of this platform extremely simple for other engineers at Plaid. Responsibilities Contribute towards the long-term technical roadmap for data-driven and machine learning iteration at Plaid Leading key data infrastructure projects such as improving ML development golden paths, implementing offline streaming solutions for data freshness, building net new ETL pipeline infrastructure, and evolving data warehouse or data lakehouse capabilities. Working with stakeholders in other teams and functions to define technical roadmaps for key backe

Role Overview We’re looking for a Senior Product Designer with a passion for building platform features that impact UX at a massive scale. As a member of AAA, you’ll work across a breadth of problem spaces on deeply technical topics, such as governance, access, teams, identity, and multi-org UX. You’ll lead design for features that mediate how Datadog’s biggest customers use the platform and manage what their employees can see and do. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do AAA is a highly technical product environment, where designers strive to understand the technical workflows, constraints and opportunities within this domain. As you develop subject matter expertise, you’ll use your influence as a Senior designer to drive the roadmap and vision. Day-to-day, you’ll work closely with your PM and engineering partners to understand customers’ pain points, explore solutions, and build UI that ships. Prototyping in code creates the opportunity to share high-fidelity ideas at early stages, even if the design itself is low-fidelity. Tight feedback loops let your team iterate quickly, building towards an ideal vision for the best possible experience while you ship incremental steps towards that goal. In addition to making the work, you will also share your work with stakeholders at varying levels of seniority, all the way up to executive leadership level. Your crisp context setting and clear description of your solution will help people understand your choices and sell them on your proposal. Your work will up-level the quality bar for what an admin experience can look like. While you’ll leverage Datadog’s design system where it makes sense, you won’t let it prevent broad exploration of different design patterns in the service of finding the optimal solu

We are seeking a visionary Answer Engine Optimization Lead to spearhead our Large Language Model (LLM) and AI platform visibility strategy (e.g., ChatGPT, Claude, Google AI Overviews, Perplexity). Reporting into the Director of Marketing Acquisition, this role will be responsible for expanding our brand authority, maximizing developer mindshare, and driving new customer acquisition by optimizing MongoDB’s presence within LLM and answer engine responses. If you thrive at the intersection of technical content architecture, structured data, community advocacy, and AI-era discovery—and you want to lead a team on the front lines of defining the next wave of search experience optimization—this is a critical leadership role designed to accelerate target audience awareness and Product-Led Growth (PLG). This role will be based remotely in the United States. Key Responsibilities Define & Execute AEO Strategy: Design and own MongoDB’s global LLM visibility growth initiatives. Develop and execute strategies focused on increasing the citation share, sentiment, and accuracy of MongoDB across various technical developer audiences and agentic AI models Team Leadership: Oversee and scale a high-performing team of SEO, AEO, and content optimization professionals, fostering a culture of rapid experimentation in the AI search space Technical Information Architecture: Collaborate with Product, Engineering, and Documentation teams to optimize MongoDB’s digital footprint for LLM crawlers. Impose best practices for structured data, schema markup, knowledge graphs, and API/documentation accessibility to facilitate flawless RAG (Retrieval-Augmented Generation) ingestion UGC Response & Community Advocacy: Coordinate a multi-team framework (including Developer Relations and Support) to ensure timely, high-quality, and LLM-friendly insights are present on critical developer watering holes (e.g., Reddit, Stack Overflow, GitHub, Wikipedia). Leverage "build in public" tactics to organicall

About the Team The Monetization Data Systems team builds the trusted data and product systems that power how the company develops, measures, and improves monetization products. We bring together product usage, pricing, billing, ads, payments, and financial data to help Product, Engineering, Finance, and GTM teams make better decisions and deliver reliable customer experiences. We work at the intersection of data engineering, product engineering, platform engineering, Finance, and GTM. Our goal is to turn complex monetization and financial data into accurate, explainable, and timely data products while building systems that scale with the growth and complexity of the business. About the Role We are looking for a Senior Software Engineer to design and build the next generation of our monetization data platform. You will own high-impact platform systems end to end, from architecture and implementation through testing, deployment, observability, and ongoing operation. This is a hands-on role for an engineer who enjoys solving ambiguous customer and business problems, designing durable systems, and partnering closely with Product, Data, Finance, Accounting, and GTM. You will help define technical direction, raise the engineering bar, and turn monetization opportunities into reliable, scalable product experiences and platform capabilities. In this role, you will: Design, improve, and operate reliable, scalable backend services that power pricing, billing, ads, payments, entitlements, and other monetization platform capabilities. Own the architecture and implementation of critical workflows relevant to monetization data, data contracts, and integrations across product and business systems. Establish strong guarantees for correctness, availability, security, performance, reconciliation, and auditability across business-critical systems. Build reusable platform capabilities and developer tools that enable product teams to launch, measure, and iterate on monetization products