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Description

<p>Google XR is seeking a Senior Software Engineer to design and evolve 3D interactions and the UI for Android XR, bridging Kotlin/Java with a high‑performance C++ engine. You will shape scalable systems for animations and audiovisual behaviors across the XR stack.</p><p>You will partner with UX designers, product managers, and other engineers to deliver a cohesive, performant mobile XR experience and help drive through iterative tools and best practices for faster development cycles.</p><br />#J-18808-Ljbffr

Requirements

• PA

Description

<div><h3>We're hiring an Android engineer to scale our Android app alongside the founding Android engineer who built it from scratch and shipped it to Google Play. Since launch, it's grown to 60,000 installs, 8,500 DAU, a 4.8 rating, and localization across Brazil, Latin America, and Italy. One engineer did all of it. It's time for the next.</h3><br /><h3>You'll work alongside the iOS engineers and designers to keep parity where it matters and diverge where it makes the app better. real-time co-editing, offline playback, background uploads, subscription infrastructure, the foundations are in place. now we make it deeper.</h3><br /><h3>What you'll do</h3><br /><h3>Ship features across the Android app end to end</h3><br /><h3>Design and ship alongside engineers, designers, and the founders</h3><br /><h3>Partner closely with our iOS engineers to keep parity where it matters and diverge where it makes the app better</h3><br /><h3>Own performance, responsiveness, and quality across devices</h3><br /><h3>Find bottlenecks and fix bugs</h3><br /><h3>Contribute to architecture, test coverage, and engineering process for Android</h3><br /><h3>What we're looking for</h3><br /><p>7+ years of Android engineering</p><br /><p>Deep expertise in Kotlin and the Android framework</p><br /><p>Experience integrating Android apps with backend services</p><br /><p>Strong grasp of architecture, design patterns, and the mobile lifecycle</p><br /><p>A complex client-side system you personally architected and shipped. you can explain every decision, what you chose not to do, and what broke</p><br /><p>Shipped real work at startups or small teams</p><br /><p>Side projects or apps you've put into the world. things you built because you wanted them to exist</p><br /><p>Exploratory communication. you think out loud, name tradeoffs, stay low-ego when corrected</p><br /><p>Comfort with ambiguity and high autonomy</p><br /><p>Passion for craft. you treat UI like art</p><br /><h3>Cloud messaging APIs and push notifications</h3><br /><h3>Strong opinions on UI/UX and Material Design</h3><br /><h3>Performance and memory optimization</h3><br /><h3>Outsized love for music and creative tools</h3><br /><h3>Comfort designing async server systems (you'll be asked to in the systems interview)</h3><br /><p>Flexible days in office</p><br /><p>Free lunch in the office</p><br /><p>Competitive salary and equity</p><br /><p>Health, dental, and vision insurance</p><br /><p>Opportunities for professional growth and development</p><br /><p>A collaborative environment that values craft and creativity</p><br /><h3>Compensation</h3><br /><p>Competitive equity package</p><br /><p>Medical, dental, and vision benefits</p></div><br />#J-18808-Ljbffr

Requirements

• RN
• DO
• PA

Benefits

• Dental
• Vision

Description

<div><p>Job Title Senior Software Engineer 1, Picksy Services Job Description</p><p>Picksy is our next-generation product discovery platform connecting shoppers with the things they love across thousands of retail partners. Users save, organize, and share products they're excited about - and our platform turns those signals into a deeply personalized shopping experience. This team owns the foundational product data, services, applications, and integrations that power the Picksy experience.</p><p>Hybrid 3x per week</p><p>In-office Expectations: This position is hybrid in-office, with the ability to work remotely for up to 2 days per week.</p><h3>About The Position | Major goals and objectives and location requirements</h3><p>As a Senior Software Engineer on Picksy Services, you'll take ownership of solution design and implementation for scalable, highly available services, while mentoring other engineers and helping shape the team's technical direction. You'll work closely with product owners, designers, and fellow engineers to translate requirements into prototypes and world-class features, and you'll be a go-to voice on architecture decisions and best practices across the team.</p><h3>You will:</h3><ul><li>Partner with engineers across data, web, and mobile experiences to build and evolve the foundational services powering Picksy.</li><li>Design and implement new services, APIs, and operational monitoring functions.</li><li>Own production services end-to-end - investigating issues, resolving bottlenecks, and proactively identifying opportunities to improve reliability and reduce cost.</li><li>Lead code reviews and mentor other engineers, setting the bar for code quality and advocating for best practices across the team.</li><li>Drive the identification and prioritization of technical debt.</li><li>Provide thorough, readable documentation for the services you own.</li><li>Partner with engineers across the org to establish and align on shared best practices.</li><li>Bring strong technical judgment to ambiguous problems, and deliver high-quality, complex services under tight timelines.</li></ul><h3>About The Positions Contributions:</h3><h3>Accountabilities, Actions and Expected Measurable Results</h3><ul><li>50% Feature implementation: Work closely with stakeholders, product owners, and tech leadership to plan and create new services, features, and enhancements.</li><li>15% Architecture: Lead technical design of new and expanding systems; drive identification and prioritization of technical debt; proactively identify opportunities to improve reliability and reduce cost.</li><li>15% Maintenance: Own production services end-to-end; investigate, troubleshoot, and implement fixes for bugs and operational issues.</li><li>10% Review, Mentorship &amp; Testing: Lead code reviews and mentor other engineers, setting the bar for code quality; work closely with quality-assurance engineers to facilitate feature testing and contribute to automated test coverage.</li><li>10% Requirements Analysis: Consume non-technical user stories, providing feedback when necessary, translating into technical documentation, and/or using as a basis for implementation.</li></ul><h3>The Role's Minimum Qualifications and Job Requirements</h3><p>Education:<br />Bachelor's degree or higher in Computer Science or relevant industry experience.</p><p>Experience:<br />6+ years of relevant professional technology experience.</p><p>Specific Knowledge, Skills, Certifications and Abilities:</p><p>You have practical knowledge of modern development techniques and trends, and you are eager to continue learning.</p><ul><li>Demonstrated deep understanding of REST, service architecture, monitoring, and the tenets of horizontal scalability.</li><li>Experience developing complex and highly available services running in a production environment with SLAs.</li><li>Extensive knowledge of object-oriented and functional software design patterns, including those commonly used within large web application platforms.</li><li>Proven experience developing and owning production services and applications deployed in AWS or GCP, leveraging containers, continuous integration, and codified infrastructure.</li><li>Extensive experience using Node.js, TypeScript, and the NestJS framework, with some knowledge of Java and GraphQL.</li><li>Familiarity with HTML/CSS and frontend web frameworks such as Vue or Nuxt (strongly preferred).</li><li>Knowledge of NoSQL data stores, graph databases, indexing, distributed locking, media transformation, and search engines such as Elasticsearch or Solr.</li><li>Experience working in an Agile environment, translating user stories into technical tasks and estimating effort effectively.</li><li>Strong communication, analytical, and problem-solving skills.</li><li>Experience leading architecture discussions, advocating for your approach, and mentoring team members.</li><li>Motivation to learn new technologies and grow as a developer.</li></ul><p>Travel Required (Approximate) : 0%</p><p>It is the policy of People Inc. to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or men</p></div><br />#J-18808-Ljbffr

Requirements

• RN
• DO
• PA

Description

<div><p><b>Senior Full-Stack Software Engineer</b></p><br /><p><b>Location:</b> New York City<br /><b>Work Style:</b> Hybrid<br /><b>Employment Type:</b> Full-time<br /><b>Focus:</b> Full-Stack Engineering, Product Engineering, Security &amp; Compliance SaaS</p><br /><p>About Our Client</p><br /><p>Our client is a fast-growing cybersecurity compliance company helping businesses achieve, manage, and maintain critical security and compliance standards.</p><br /><p>Their platform supports thousands of companies around the world by simplifying complex compliance workflows and giving teams the tools they need to stay secure, audit-ready, and focused on their core business.</p><br /><p>The company is backed by leading venture investors and has been recognized by major business and technology publications for its impact on the future of security and compliance software.</p><br /><p>About the Role</p><br /><p>Our client is hiring a <b>Senior Full-Stack Software Engineer</b> to join a highly collaborative product engineering team in New York City.</p><br /><p>This is a high-ownership role for an engineer who enjoys building customer-facing products, solving complex technical problems, and working closely with product, design, and engineering stakeholders.</p><br /><p>The right person will be comfortable owning features end-to-end, contributing across the frontend and backend, mentoring other engineers, and stepping into product thinking when needed to make sure the team ships high-quality solutions.</p><br /><p>What You’ll Do</p><br /><ul><br /><li>Build full-stack product features that improve user experience, reliability, and customer value</li><br /><li>Work closely with product management, design, and engineering stakeholders</li><br /><li>Own features from planning and architecture through development, deployment, iteration, and optimization</li><br /><li>Solve complex technical challenges across frontend, backend, data, and product workflows</li><br /><li>Maintain a high quality bar in a fast-paced, iterative engineering environment</li><br /><li>Step into product management-style responsibilities when needed to clarify scope and drive execution</li><br /><li>Participate in code reviews, technical planning, performance optimization, and deployment processes</li><br /><li>Mentor junior and mid-level engineers and help raise the engineering bar across the team</li><br /><li>Build user-centric solutions for customers managing security and compliance workflows</li><br /></ul><br /><p>What We’re Looking For</p><br /><ul><br /><li>5+ years of professional software development experience</li><br /><li>Strong full-stack engineering experience across frontend and backend systems</li><br /><li>Proficiency with HTML, CSS, TypeScript, and a modern backend language such as Ruby, Python, or JavaScript</li><br /><li>Strong understanding of computer science fundamentals and software engineering principles</li><br /><li>Experience building customer-facing SaaS products</li><br /><li>Strong product instincts and a desire to understand customer impact</li><br /><li>Ability to own work from concept through deployment</li><br /><li>Adaptability in a fast-paced environment where priorities may shift quickly</li><br /><li>Strong communication skills and comfort collaborating across product, design, and engineering</li><br /><li>A craftsmanship mindset with a desire to keep improving technically</li><br /></ul><br /><p>Preferred Experience</p><br /><ul><br /><li>Experience with Rails, PostgreSQL, or Elasticsearch</li><br /><li>Prior startup experience as a founder, early employee, or high-ownership builder</li><br /><li>Experience in cybersecurity, compliance, GRC, audit, risk, or enterprise SaaS</li><br /><li>Experience mentoring junior or intermediate engineers</li><br /><li>Comfort working in hybrid, highly collaborative team environments</li><br /></ul><br /><p>Why This Opportunity</p><br /><ul><br /><li>Join a fast-growing cybersecurity compliance company with strong market traction</li><br /><li>Build software used by thousands of businesses to manage security and compliance</li><br /><li>Work on meaningful product problems across trust, risk, audit readiness, and enterprise workflows</li><br /><li>Own full-stack features with real customer impact</li><br /><li>Collaborate closely with product, design, and engineering leaders</li><br /><li>Mentor other engineers and help shape team culture</li><br /><li>Join a venture-backed company with strong growth potential and meaningful career upside</li><br /></ul></div><br />#J-18808-Ljbffr

Requirements

• RN
• DO
• PA

Description

<div><h3>About Decagon</h3><br /><p>Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.</p><br /><p>Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.</p><br /><p>We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.</p><br /><p>We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team.</p><br /><h3>About the Team</h3><br /><p>The Agent Orchestration team builds the core execution layer that powers every agent interaction. This includes the systems responsible for coordinating model reasoning, evaluating agent behavior, and ensuring that agents behave reliably in real customer environments.</p><br /><p>We focus on correctness, reliability, and speed. Our work shapes how Decagon agents plan, decide, and take actions across millions of interactions.</p><br /><h3>About the Role</h3><br /><p>As a Senior Software Engineer on the Agent Orchestration team, you will design and build the systems that determine how Decagon agents operate under real world conditions. You will own complex distributed systems challenges and create foundations that help teams improve agent performance, reliability, and quality.</p><br /><p>You will have significant autonomy, direct impact, and the ability to shape the architecture behind one of the most advanced agent platforms in the world.</p><br /><h3>In this role, you will</h3><br /><ul><br /><li>Build the execution engine that powers intelligent agents at scale</li><br /><li>Design systems that coordinate model reasoning and actions while staying fast and correct</li><br /><li>Improve reliability through better testing, observability, and safeguards</li><br /><li>Build foundations that help teams evaluate and improve agent behavior safely and continuously</li><br /></ul><br /><h3>Your background looks something like this</h3><br /><ul><br /><li>5+ years of experience building production systems</li><br /><li>Proficiency in Python or Typescript and comfort with asynchronous programming</li><br /><li>Strong debugging skills across complex technical stacks</li><br /><li>Ability to design reliable distributed systems that handle real world failure modes</li><br /><li>A track record of owning large technical projects end to end</li><br /></ul><br /><h3>Even better</h3><br /><ul><br /><li>Experience with real time or low latency systems</li><br /><li>Experience with workflow engines, agents, or model driven applications</li><br /><li>Experience building tooling or infrastructure for other engineers</li><br /><li>Experience with experimentation or evaluation systems</li><br /></ul><br /><h3>Benefits:</h3><br /><ul><br /><li>Medical, dental, and vision benefits</li><br /><li>Take what you need vacation policy</li><br /><li>Daily lunches, dinners and snacks in the office to keep you at your best</li><br /></ul><br /><h3>Compensation</h3><br /><p>$250K – $330K + Offers Equity</p></div><br />#J-18808-Ljbffr

Requirements

• DO
• PA

Benefits

• Dental
• Vision
• Vacation

Description

<div><h3>About Maximor</h3><p>Most AI companies are building copilots.</p><p>Maximor is building the AI operating system for the CFO office. Our Audit-Ready AI Agents connect to a company's existing finance stack—ERPs, banks, billing, payroll, CRM, contracts, spreadsheets, email, and Slack—and automate the work behind behind the entire order to cash process, record to report process, treasury management, financial reporting and and audit readiness.</p><p>The goal isn't to help the finance team write better prompts.</p><p>The goal is for finance teams to review exceptions while AI does the rest.</p><p>What makes Maximor different is our <b>Unified Finance Context</b>—a financial understanding layer that captures transactions, policies, contracts, historical decisions, and accounting judgment. On top of it sit Audit-Ready AI Agents that can reason, explain their decisions, elevate uncertainty, and continuously improve.</p><p>We've raised <b>$9M led by Foundation Capital</b>, alongside BoldCap, Gaia Ventures, <b>Aravind Srinivas (CEO of Perplexity)</b>, and finance leaders from Zuora, Ramp, Gusto, MongoDB, Zoom, and the Big Four.</p><h3>What You'll Own</h3><p>You won't own tickets—you'll own a piece of the future accounting stack.</p><p>Every senior engineer owns a finance domain (revenue, cash, close, reporting, payroll, fixed assets, tax, or controls) and ships it end-to-end with a pod of 2–3 engineers.</p><p>No PM writes your specs. No architecture committee approves your ideas. You work directly with controllers, accountants, and CFOs to understand the problem, then build the system that replaces the manual process.</p><h3>Problems Worth Your Brain</h3><ul><li><p><b>How do you build AI agents that finance teams and auditors can trust?</b> Verification, guardrails, observability, and evaluation systems for non-deterministic AI.</p></li><li><p><b>How do you give an agent the right financial context?</b> Context engineering over transactions, ledgers, contracts, policies, and historical decisions—without bloat, drift, or data leakage.</p></li><li><p><b>How do you turn messy enterprise systems into a unified source of truth?</b> Ingest, normalize, and reconcile data from ERPs, banks, payroll, billing platforms, CRMs, and email.</p></li><li><p><b>How do you orchestrate durable AI workflows in the real world?</b> Long-running, replay-safe workflows across flaky, stateful enterprise systems.</p></li><li><p><b>How do you safely write back to systems of record?</b> Idempotent, audit-ready updates to ERPs and financial systems with full traceability.</p></li></ul><h3>A Few Strong Opinions</h3><ul><li><p><b>The engineer who can’t operate AI agents fluently is becoming obsolete, fast.</b> Fluency with Claude, Cursor, and internal agent tooling is a second cortex.</p></li><li><p><b>“Backend vs. frontend” is dissolving.</b> The agents do the typing. The constraint is product judgment, system design, and the ability to close the loop from problem to shipped feature. Our engineers ship full-stack when the work calls for it.</p></li><li><p><b>The pod is the unit of leverage.</b> Two engineers who can hold an entire module in their heads ship more than ten engineers who each own a slice. Specialization across pods, generalist within them. Our engineers raise the ceiling for every pod.</p></li><li><p><b>The accountant + engineer loop is the moat.</b> Engineers who sit with controllers and build from what they see compound faster than the ones who don’t.</p></li></ul><h3>What Great Looks Like Here</h3><ul><li><p><b>You can learn a finance workflow in the morning and ship it by the end of the day.</b> The ability to quickly understand a domain and translate it into software is the single most important skill on the team.</p></li><li><p><b>You think like an owner.</b> You're a current or future founder who scopes your own work, thinks from the customer's perspective, owns decisions, and drives outcomes without waiting for direction.</p></li><li><p><b>You solve problems end to end. </b>The team is split vertically, so every engineer owns a part of the product and makes decisions across the LLM pipeline, infrastructure, backend, and UX.</p></li><li><p><b>You care about getting it right. </b>A 100% solution beats an 80% one. When something breaks, you go to root cause.</p></li><li><p><b>You operate AI coding agents at a high level.</b> You have opinions about which agent to use for which task. You’ve shipped real production code through them.</p></li></ul><h3>What You Should Have Done Before</h3><ul><li><p><b>5+ years of software engineering</b>, mostly backend or infrastructure.</p></li><li><p><b>Strong backend chops in a modern language</b> — Python, Go, Java, Rust, or similar. Our stack is Python; if your deep experience is elsewhere, ramp fast.</p></li><li><p><b>Built hard backend systems</b> — distributed pipelines, transactional or ledger systems, integration platforms, or workflow engines.</p></li><li><p><b>Worked at an early-stage startup</b> (pre-seed through Series B).</p></li></ul><h3>You’ll Stand Out if</h3><ul><li><p>You've worked in fintech, ERP, accounting, payments, banking, treasury, audit, or compliance software.</p></li><li><p>You've built production AI agents, not just demos.</p></li><li><p>You've built evaluation frameworks, verification systems, or observability platforms for AI.</p></li><li><p>You've worked with data warehouses, financial systems, or enterprise integrations.</p></li><li><p>You've been the engineer customers asked for by name.</p></li></ul><h3>The Upside</h3><ul><li><p>Exceptional teammates with high ownership and direct access to customers, CFOs, controllers, and founders.</p></li><li><p>Top-of-market compensation and meaningful early-stage equity.</p></li><li><p>Full medical, dental, and vision coverage for employees and dependents, plus 401(k) match.</p></li><li><p>Meals, a stocked NYC office, and the chance to help define an entirely new category: Audit-Ready AI for Finance.</p></li></ul></div><br />#J-18808-Ljbffr

Requirements

• RN
• DO
• PA
• Billing

Benefits

• Dental
• Vision

Description

<div><p>Are you passionate about building large-scale backend systems that power mission-critical reporting and data‑intensive workflows? Do you enjoy solving deep technical challenges around distributed systems, performance, scalability, and reliability? Are you excited by the opportunity to shape the architecture of a next‑generation reporting and query platform used across a complex financial ecosystem? If so, we invite you to join Ridgeline’s Reporting team.</p><br /><p>The Ridgeline Reporting Engine team builds and operates the core infrastructure behind reporting, query execution, and data retrieval across the platform. Our systems power both customer‑facing reporting experiences and internal analytics. Your work will transform complex financial data into reliable, high‑performance reporting systems that enable faster, more informed decision‑making for investment managers. We are evolving the next generation of our distributed reporting and query engine, focused on correctness, performance, scalability, and operational excellence.</p><br /><p>We embrace tools such as Claude Code, Cursor AI, and ChatGPT to accelerate development and reduce friction, allowing engineers to focus on high‑leverage problem solving, system design, and innovation. We’re looking for engineers who enjoy diving deep technically, influencing architecture, mentoring others, and building production‑grade platforms that scale with the business.</p><br /><p>At Ridgeline, how we work matters as much as what we build. Ridgeliners act like owners, choose growth over comfort, and communicate with transparency. We assume positive intent, bias toward action, and bring solutions — not just problems. We celebrate wins, learn from setbacks, and thrive in a resilient, collaborative, high‑performing culture. If this excites you, we’d love to meet you.</p><br /><p>You must be authorized to work in the United States without the need for employer sponsorship.</p><br /><h3>Impact You Will Make</h3><br /><ul><br /><li>Design and build scalable backend services that power reporting, query execution, and data‑intensive product workflows.</li><br /><li>Drive architectural decisions across distributed systems, APIs, execution frameworks, and storage/query layers.</li><br /><li>Lead technical initiatives focused on platform scalability, performance optimization, reliability, and operational excellence.</li><br /><li>Build and evolve systems that handle compute‑ and IO‑intensive workloads with strong correctness and auditability requirements.</li><br /><li>Partner closely with product managers, designers, and engineers to deliver performant and reliable customer‑facing capabilities.</li><br /><li>Improve observability, resiliency, debugging workflows, and operational tooling across production systems.</li><br /><li>Help shape the evolution of our next‑generation distributed reporting and query platform.</li><br /><li>Contribute to engineering best practices around software design, testing, maintainability, and production readiness.</li><br /><li>Lead design reviews, mentor engineers, and raise the technical bar across the organization.</li><br /><li>Dive deep into ambiguous technical problems while maintaining a strategic long‑term perspective.</li><br /></ul><br /><h3>What We Look For</h3><br /><ul><br /><li>6+ years of software engineering experience building large‑scale backend or distributed systems.</li><br /><li>Strong programming experience in Kotlin, Java, Python, or similar backend languages.</li><br /><li>Deep understanding of software engineering fundamentals, including system design, APIs, concurrency, networking, and performance optimization.</li><br /><li>Experience designing and operating scalable cloud‑native services (AWS preferred).</li><br /><li>Experience building high‑throughput, low‑latency distributed systems with strong reliability requirements.</li><br /><li>Experience designing application data models and building services on top of relational and distributed storage systems.</li><br /><li>Familiarity with asynchronous processing, event‑driven systems, and distributed architectures.</li><br /><li>Ability to influence architecture and drive technical decisions across teams.</li><br /><li>Excellent communication, collaboration, and mentoring skills.</li><br /><li>Curiosity, ownership, and a desire to continuously learn and improve.</li><br /></ul><br /><h3>Nice To Have</h3><br /><ul><br /><li>Experience building reporting, query execution, or analytics infrastructure platforms.</li><br /><li>Familiarity with distributed query engines or compute frameworks such as Trino, Spark, or similar technologies.</li><br /><li>Experience working on systems with strict correctness, auditability, and reliability requirements.</li><br /><li>Experience in fintech, investment management, or financial data systems.</li><br /><li>Familiarity with React or modern frontend technologies.</li><br /><li>Experience using AI‑assisted engineering workflows and developer tooling.</li><br /></ul><br /><h3>Compensation and Benefits</h3><br /><p>The typical starting salary range for new hires in this role is $153,000–$191,000. In select locations, including the San Francisco Bay Area, CA, and the New York City Metro Area, an alternate range of $168,000–$210,000 may apply. Final compensation is determined by multiple factors, including candidate experience and expertise. In addition to the base salary, employees may participate in our Company Stock Plan and enjoy rich benefits such as unlimited vacation, educational and wellness reimbursements, and zero‑cost employee insurance plans. Please refer to our Careers page for a comprehensive overview of perks and benefits.</p><br /><p>Ridgeline is a discrimination‑free equal opportunity workplace. We process the information you submit in accordance with the Ridgeline Applicant Privacy Statement. Please review our privacy practices and contact us with any questions.</p></div><br />#J-18808-Ljbffr

Requirements

• RN
• DO
• PA

Benefits

• Vacation
• Wellness

Description

<div><h3><b>About Take2 AI</b></h3><p>Take2 AI automates phone screens with AI agents.<br />Take2's AI Interviewers automate the end-to-end screening process - evaluating resumes, conducting phone screens, and scheduling next round interviews with qualified candidates. Our AI Interviewers help reduce overhead costs while boosting speed-to-hire and preventing mis-hires. For candidates, this guarantees they’re never left without a response and delivers a better experience, uncovering skills that go beyond the resume.</p><p>We are a team of Stanford GSB alums, backed by SemperVirens &amp; Reach Capital. Our advisory board consists of ex CHROs of F500 companies such as Visa, HP, Disney &amp; Google.</p><p>Want a sneak peek of what we are building? Check out this video!</p><p>https://youtu.be/UorNA5uuQjU</p><h3><b>About The Role</b></h3><p>Take2 AI is hiring a hands-on Senior Software Engineer to lead and scale the infrastructure powering our AI-driven products.</p><p>Our systems already support thousands of candidate interactions each month—now we’re building for millions. You’ll evolve the architecture to meet new demands, guide technical direction, and mentor engineers while delivering high-impact solutions.</p><p>This role is ideal for someone who thrives in both high-scale environments and fast-moving startups, playing a key leadership role from design through production with significant ownership over technical execution and direction.</p><h3><b>In Terms of Experience</b></h3><h3><b>Required:</b></h3><ul><li><p>10+ years software engineering experience (with high exposure to full stack)</p></li><li><p>Bachelor’s in Computer Science or Computer Engineering</p></li><li><p>Has held titles such as Senior SWE, Staff/Principal Engineer, Software Engineering Lead, or Technical Lead</p></li><li><p>2+ years at a Series D+ company</p></li><li><p>2+ years at a fast-paced and high-growth early-stage startup (Series A or lower)</p></li><li><p>Demonstrated hands-on technical leadership—ownership of a domain, architecture decisions, delegation/mentoring</p></li><li><p>Experience building, operating, and scaling high-throughput, high-availability distributed systems, including observability/monitoring and reliability for mission-critical systems</p></li><li><p>Capable of contributing across the stack—backend, infrastructure, and web/frontend—jumping in where needed to deliver end-to-end solutions.</p></li><li><p>Comfortable navigating and working within infrastructure environments, including Kubernetes (EKS), ECS, EC2, and Docker—able to deploy, troubleshoot, and optimize services in production.</p></li><li><p>Skilled with JavaScript, Node.js, Python, React, AWS, EKS, ECS, Kubernetes, Docker, MySQL/Postgres</p></li></ul><h3><b>Preferred:</b></h3><ul><li><p>Built, deployed and scaled end-to-end AI applications (LLMs, speech/voice, recommendation engines, etc.) in consumer-facing products</p></li><li><p>Experience with LLMs, Voice, Streaming, Low Latency, or Machine Learning Pipelines</p></li></ul><h3><b>What You’ll Do</b></h3><ul><li><p>Evolve and scale the backend architecture powering our AI-driven products</p></li><li><p>Lead technical execution: set architectural direction, mentor engineers, delegate effectively, and remain hands-on</p></li><li><p>Build and deliver end-to-end AI applications in close collaboration with product and founding teams</p></li><li><p>Ensure the reliability, scalability, and observability of production systems</p></li><li><p>Strengthen and evolve our engineering standards and technical culture as a key early leader on the team</p></li></ul></div><br />#J-18808-Ljbffr

Requirements

• RN
• DO
• PA

Description

<div><h3><b>About Take2 AI</b></h3><p>Take2 builds AI Interviewers that automate the entire screening process — reviewing resumes, conducting structured phone screens, and scheduling next steps.</p><p>Today, our customers are leading healthcare organizations. Every month, we help hospitals and health systems hire faster, reduce recruiting overhead, and fill critical clinical roles more quickly.</p><p>When healthcare organizations hire faster, patient care improves. Staffing gaps shrink. Burnout decreases. The ripple effects are real.</p><p>We already power thousands of candidate conversations each month. Now we’re scaling to millions — at a time when healthcare workforce infrastructure needs transformation.</p><h3><b>About The Role</b></h3><p>Take2 AI is hiring a hands-on Senior Software Engineer to lead and scale the infrastructure powering our AI-driven products.</p><p>Our systems already support thousands of candidate interactions each month—now we’re building for millions. You’ll evolve the architecture to meet new demands, guide technical direction, and mentor engineers while delivering high-impact solutions.</p><p>This role is ideal for someone who thrives in both high-scale environments and fast-moving startups, playing a key leadership role from design through production with significant ownership over technical execution and direction.</p><h3><b>In Terms of Experience</b></h3><h3><b>Required:</b></h3><ul><li>10+ years software engineering experience (with high exposure to full stack)</li><li>Bachelor’s in Computer Science or Computer Engineering</li><li>Has held titles such as Senior SWE, Staff/Principal Engineer, Software Engineering Lead, or Technical Lead</li><li>2+ years at a Series D+ company</li><li>2+ years at a fast-paced and high-growth early-stage startup (Series A or lower)</li><li>Demonstrated hands-on technical leadership—ownership of a domain, architecture decisions, delegation/mentoring</li><li>Experience building, operating, and scaling high-throughput, high-availability distributed systems, including observability/monitoring and reliability for mission-critical systems</li><li>Capable of contributing across the stack—backend, infrastructure, and web/frontend—jumping in where needed to deliver end-to-end solutions.</li><li>Comfortable navigating and working within infrastructure environments, including Kubernetes (EKS), ECS, EC2, and Docker—able to deploy, troubleshoot, and optimize services in production.</li><li>Skilled with JavaScript, Node.js, Python, React, AWS, EKS, ECS, Kubernetes, Docker, MySQL/Postgres</li></ul><h3><b>Preferred:</b></h3><ul><li>Built, deployed and scaled end-to-end AI applications (LLMs, speech/voice, recommendation engines, etc.) in consumer-facing products</li><li>Experience with LLMs, Voice, Streaming, Low Latency, or Machine Learning Pipelines</li></ul><h3><b>What You’ll Do:</b></h3><ul><li>Evolve and scale the backend architecture powering our AI-driven products</li><li>Lead technical execution: set architectural direction, mentor engineers, delegate effectively, and remain hands-on</li><li>Build and deliver end-to-end AI applications in close collaboration with product and founding teams</li><li>Ensure the reliability, scalability, and observability of production systems</li><li>Strengthen and evolve our engineering standards and technical culture as a key early leader on the team</li></ul><h3><b>Location &amp; Flexibility:</b></h3><p>We’re NYC-based and work hybrid (in-office Mon-Thu). We value in-person collaboration but also trust people to manage their time responsibly.</p><h3><b>Compensation &amp; Growth:</b></h3><p>Competitive salary + meaningful equity. This is a chance to join at a stage where your work meaningfully shapes the product and your career trajectory.</p></div><br />#J-18808-Ljbffr

Requirements

• RN
• DO
• PA
• Patient care
• Clinical

Description

<p>Scale AI, Inc. in the United States is hiring a software engineer to design, build, and maintain robust, scalable systems across the full stack. You will work on the GenAI data engine, with front‑end, back‑end, and infrastructure work using modern technologies.</p><p>You’ll collaborate with ML teams and operators to ship fast, high‑impact solutions and help scale the contribution platform to meet growing data demands. The role emphasizes reliability, performance, and data quality.</p><br />#J-18808-Ljbffr

Requirements

• RN
• PA
• MPH