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<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

<p>If you're looking for a startup where your work genuinely shapes the product, architecture, and direction of the business, this is one of those opportunities.</p><p>Our FinTech client is building the next generation of marketing and engagement software for community financial institutions. Their platform helps organizations better understand, engage, and grow relationships with their customers through modern data, automation, and intelligent workflows.</p><p>Having grown from an 8-person startup to a profitable company approaching 20 employees, they've established strong product-market fit and continue to scale responsibly. Unlike many startups, they're building for the long term—with a healthy business, meaningful growth, and the opportunity for every engineer to make a lasting impact.</p><p>They're now looking for a Senior Full-Stack Engineer to join a small, collaborative engineering team where ownership is real, ideas are heard, and great engineers can influence both the product and the technical direction of the company.</p><p><strong>What You'll Do</strong></p><ul><li>Build modern, customer-facing applications using <strong>React, TypeScript, Node.js, and AWS</strong></li><li>Own projects from technical design through production deployment</li><li>Partner closely with Product and Engineering to solve complex customer problems</li><li>Contribute to architecture, system design, and engineering best practices</li><li>Help introduce AI-powered capabilities across the platform</li><li>Play a key role in shaping how the engineering organization grows as the company continues to scale</li></ul><p><strong>What They're Looking For</strong></p><ul><li>5+ years of professional software engineering experience</li><li>Strong experience building full-stack applications with <strong>React, TypeScript, and Node.js</strong></li><li>Experience shipping customer-facing SaaS products in a fast paced startup environment</li><li>Comfortable taking ownership from concept through production</li><li>Excellent communication skills and the ability to work collaboratively in a highly interactive, in-person environment</li><li>An engineer who is curious, humble, and enjoys solving problems with a team</li></ul><p>This team values people who ask thoughtful questions, communicate clearly, and enjoy working collaboratively. They're looking for engineers who care as much about building a great team as they do building great software.</p><p><strong>Why Join?</strong></p><ul><li>Profitable, high-growth startup with proven product-market fit</li><li>Small engineering team where your work has immediate impact</li><li>Significant ownership and technical influence</li><li>Direct collaboration with founders and product leadership</li><li>Meaningful equity alongside competitive compensation</li><li>Modern technology stack with challenging engineering problems</li><li>401(k) with company contribution</li><li>Paid Time Off</li></ul><p><strong>Compensation:</strong> $170,000–$210,000 base salary + equity</p><br />#J-18808-Ljbffr

Requirements

• RN
• DO
• PA

Description

<div><h3>Senior Software Engineer (AI-Native Full Stack)</h3><br /><h3>Overview</h3><br /><p>We're partnering with a fast-growing startup building AI-powered products used by millions of creators worldwide. This is not a traditional software engineering role. We're looking for a <b>product engineer</b> who thrives in ambiguity, enjoys owning products from idea through production, and already relies on AI as a fundamental part of how they build software.</p><br /><p>The ideal candidate has spent time at startups or small, fast-moving engineering teams where ownership is broad, shipping is frequent, and engineers work closely with Product, Design, and AI teams. You'll be expected to move quickly, make thoughtful technical and product decisions, and help shape the future of AI-native software development.</p><br /><p>If AI has fundamentally changed the way you design, build, debug, and ship software, and you can clearly explain how, we'd love to hear from you.</p><br /><h3>Location:</h3><br /><p>San Francisco, CA or New York, NY (Hybrid, Tuesday-Thursday in office)</p><br /><h3>Employment Type:</h3><br /><p>Full-Time</p><br /><h3>Compensation:</h3><br /><p>$180,000 - $230,000 + Equity</p><br /><h3>Responsibilities</h3><br /><ul><br /><li>Own products and major features from concept through production, iteration, and long-term ownership.</li><br /><li>Build polished customer-facing experiences using React and TypeScript.</li><br /><li>Design scalable backend systems using Python and PostgreSQL.</li><br /><li>Build AI-powered features using modern LLM technologies and AI workflows.</li><br /><li>Collaborate closely with Product Managers, Designers, and Machine Learning Engineers.</li><br /><li>Make architecture decisions, write production-quality code, and improve existing systems.</li><br /><li>Ship quickly while maintaining a high quality bar.</li><br /><li>Use AI throughout the engineering lifecycle, including planning, architecture, coding, debugging, testing, documentation, and code review.</li><br /><li>Continuously improve engineering workflows by thoughtfully integrating AI into day-to-day development.</li><br /><li>Help shape how an AI-native engineering organization operates.</li><br /></ul><br /><h3>Qualifications</h3><br /><h3>Required:</h3><br /><h3>Experience:</h3><br /><ul><br /><li><b>5+ years of professional full-stack software engineering experience</b> (professional experience only).</li><br /><li>Experience building and shipping <b>production software used by real customers.</b></li><br /><li>Experience owning products or major features from idea through production.</li><br /><li>Experience working in <b>startup or small, fast-moving engineering environments</b> where engineers own broad product areas.</li><br /><li>Experience working closely with Product, Design, or AI teams.</li><br /></ul><br /><h3>Frontend</h3><br /><ul><br /><li>Experience building polished, customer-facing user interfaces.</li><br /><li>Strong product sense and attention to user experience.</li><br /><li>Experience building production APIs and backend services.</li><br /><li>Strong SQL and PostgreSQL experience.</li><br /><li>Experience designing scalable backend systems.</li><br /></ul><br /><p>We're looking for engineers who already use AI as part of how they work.</p><br /><p>You should regularly use tools such as <b>Cursor, Claude Code, Copilot, Codex, or similar</b> for:</p><br /><ul><br /><li>Planning</li><br /><li>Coding</li><br /><li>Testing</li><br /><li>Documentation</li></ul></div><br />#J-18808-Ljbffr

Requirements

• RN
• DO
• PA

Description

<div><h3>Maximor AI — Senior Software Engineer</h3><p><b>Type:</b> Full-time | On-site | New York City, NY<b>Compensation:</b> $170,000–$220,000 + 0.1%–0.35% equity<b>Hiring count:</b> 1<b>Visa sponsorship:</b> None available<b>Reports to:</b> Founding engineering team</p><h3>About Maximor</h3><p>Maximor is building the AI operating system for the CFO office, connecting directly to a company's existing finance stack to automate the full order-to-cash cycle, record-to-report process, treasury management, and financial reporting. Its Unified Finance Context layer captures transactions, policies, contracts, and accounting judgment, powering Audit-Ready AI Agents that can reason, explain their decisions, and elevate uncertainty.</p><p>Founded: 2023 | Team size: 1–10 | Total funding: $9MIndustry: AI ToolsWebsite: maximor.aiOffice: New York City, NY</p><p>Backing (from outreach template + role body): $9M led by Foundation Capital, alongside Aravind Srinivas (CEO of Perplexity) and finance leaders from Ramp, Gusto, and Zuora.</p><h3>Why Candidates Should Join</h3><ul><li><b>Full domain ownership:</b> Each senior engineer owns a finance domain end-to-end — no PM writing specs, no architecture committee to approve decisions.</li><li><b>Frontier backend problems:</b> Building AI agents finance teams and auditors can trust, turning messy enterprise integrations into a unified source of truth, and orchestrating durable, replay-safe workflows across flaky stateful systems.</li><li><b>Strong backing:</b> $9M led by Foundation Capital, with the CEO of Perplexity and finance leaders from Ramp, Gusto, and Zuora behind the company.</li></ul><h3>Intake Call Summary</h3><ul><li>Not provided on the role page.</li></ul><h3>The Role</h3><p>A high-ownership engineering seat where each senior engineer takes full responsibility for a finance domain — from the LLM pipeline and infrastructure through to the customer-facing surface — working directly with controllers, accountants, and CFOs to understand the problem before building the system.</p><h3>What You'll Be Doing</h3><ul><li>Own a finance domain end-to-end (revenue, cash, close, reporting, payroll, fixed assets, tax, or controls) and ship it with a pod of two to three engineers</li><li>Design and build AI agents that reason across fragmented financial data, with verification, guardrails, observability, and evaluation systems for non-deterministic outputs</li><li>Ingest, normalize, and reconcile data from ERPs, banks, payroll platforms, billing systems, CRMs, and email into a unified financial context layer</li><li>Ship idempotent, audit-ready write-backs to systems of record with full traceability</li><li>Sit directly with controllers and finance teams to learn workflows, then translate that understanding into shipped software</li><li>Operate AI coding agents fluently as a daily part of the engineering workflow, owning decisions across the LLM pipeline, infrastructure, backend, and product surface</li></ul><p><b>Tech stack:</b> Python (backend engineering also in modern languages such as Go, Java, or Rust)</p><h3>Requirements</h3><ul><li>5+ years backend or infrastructure engineering</li><li>Seed-to-Series B startup OR high-growth company (Rubrik, Databricks, Ramp, Brex) OR top large-tech (Meta, Google, Stripe, LinkedIn)</li><li>Hard backend systems: distributed pipelines, ledger/transactional systems, integration platforms, or workflow engines</li><li>Resume showing architecture detail and clear personal ownership</li><li>NYC in-person</li><li>Fintech, ERP, or accounting-software background a strong plus</li><li>Startup hours, 6 days a week, 9am to 7pm or 8pm</li></ul><h3>Green Flags</h3><ul><li>Startup or high-growth pedigree with real ownership</li><li>Hard backend systems builder</li><li>Domain depth in finance, fintech, or enterprise integrations</li><li>Production AI agent experience</li></ul><h3>Red Flags</h3><ul><li>Frontend-heavy background with shallow backend depth</li><li>Resume lists technologies without depth or ownership evidence</li><li>Multiple short stints (more than one role under one year)</li></ul><h3>Role Details</h3><ul><li><b>Salary</b> — $170,000–$220,000</li><li><b>Equity</b> — 0.1%–0.35%</li><li><b>On-site policy</b> — In-person at the NYC office; startup hours, 6 days a week, 9am to 7pm or 8pm</li><li><b>Visa sponsorship</b> — None available</li><li><b>Employment type</b> — Full-time</li><li><b>Location</b> — New York City, NY</li></ul><h3>Screening Questions</h3><ul><li>Not provided on the role page.</li></ul><h3>Interview Process</h3><p><b>Stage 1 — Pending Approval</b> — Candidates awaiting initial approval.<b>Stage 2 — Founding engineer screen</b> — Initial technical and cultural-fit conversation with a founding engineer.<b>Stage 3 — Take-home assignment (5–8 hours)</b> — Demonstrates backend engineering depth and ownership approach.<b>Stage 4 — Debrief on take-home</b> — Walkthrough and discussion of take-home work.<b>Stage 5 — On-site (5–6 hours)</b> — Deep technical and team interviews with engineers and founders.<b>Stage 6 — Offer Extended</b><b>Stage 7 — Candidate Hired</b> — Candidate accepts and starts.</p><h3>Ideal Companies &amp; Backgrounds</h3><p>Not provided as a distinct section on the role page. The Requirements name the following as example pedigree companies: High-growth — Rubrik, Databricks, Ramp, Brex Top large-tech — Meta, Google, Stripe, LinkedIn</p></div><br />#J-18808-Ljbffr

Requirements

• RN
• DO
• PA
• Billing

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

<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

<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