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Strengthening and empowering all of the communities we serve.<br /> <br /><br />Solutions Engineer<br />Remote- based position<br />ABOUT SUBTEXT

Description

<div><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 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>.</p> <p>The goal is for finance teams to review exceptions while AI does the rest.</p> <p>What makes Maximor different is o<b>ur 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 rais<b>ed $9M led by Foundation Capital</b>, alongside BoldCap, Gaia Venture<b>s, 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.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. 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><b>How do you build AI agents that finance teams and auditors can</b> <b>trust</b>? Verification, guardrails, observability, and evaluation systems for non-deterministic AI.</li> <li><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.</li> <li><b>How do you turn messy enterprise systems into a unified source of</b> <b>truth</b>? Ingest, normalize, and reconcile data from ERPs, banks, payroll, billing platforms, CRMs, and email.</li> <li><b>How do you orchestrate durable AI workflows in the real</b> <b>world</b>? Long-running, replay-safe workflows across flaky, stateful enterprise systems</li> <li><b>How do you safely write back to systems of record</b>? Idempotent, audit-ready updates to ERPs and financial systems with full traceability.</li> </ul> <h3>A Few Strong Opinions</h3> <ul> <li><b>The engineer who can’t operate AI agents fluently is becoming obsole</b>te, fast. Fluency with Claude, Cursor, and internal agent tooling is a second cortex.</li> <li><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.</li> <li><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.</li> <li><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.</li> </ul> <h3>What Great Looks Like Here</h3> <ul> <li><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.</li> <li><b>You think like</b> <b>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.</li> <li><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.</li> <li><b>You care about getting</b> <b>it right.</b> A 100% solution beats an 80% one. When something breaks, you go to root cause.</li> <li><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.</li> </ul> <h3>What You Should Have Done Before</h3> <ul> <li><b>5+ years of software </b>engineering, mostly backend or infrastructure.</li> <li><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.</li> <li><b>Built hard backend systems </b>— distributed pipelines, transactional or ledger systems, integration platforms, or workflow engines.</li> <li><b>Worked at an early-stage startup</b> (pre-seed through Series B).</li> </ul> <h3>You’ll Stand Out if</h3> <ul> <li>You've worked in fintech, ERP, accounting, payments, banking, treasury, audit, or compliance software.</li> <li>You've built production AI agents, not just demos.</li> <li>You've built evaluation frameworks, verification systems, or observability platforms for AI.</li> <li>You've worked with data warehouses, financial systems, or enterprise integrations.</li> <li>You've been the engineer customers asked for by name.</li> </ul> <h3>The Upside</h3> <ul> <li>Exceptional teammates with high ownership and direct access to customers, CFOs, controllers, and founders.</li> <li>Top-of-market compensation and meaningful early-stage equity.</li> <li>Full medical, dental, and vision coverage for employees and dependents, plus</li> <li>401(k) match.Meals, a stocked NYC office, and the chance to help define an entirely new category: Audit-Ready AI for Finance.</li> </ul></div><br />#J-18808-Ljbffr

Requirements

• RN
• DO
• PA
• Billing

Benefits

• Dental
• Vision

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

<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

<p>Exiger is seeking a Senior Software Engineer to lead the DDIQ team, building the core risk signals processing engine that powers our platform. You will shape the technical direction, craft scalable web applications and services, and mentor other engineers across backend, frontend, data, and infrastructure.</p><p>You will drive reliability, performance, and maintainability while aligning with product needs. You will work in a hybrid setting across McLean, VA / New York, NY / Richmond, VA, contributing</p><br />#J-18808-Ljbffr

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

<div><h3>Founding Engineer @ String</h3><br /><p>Status: Hiring</p><br /><p>Business Unit: Engineering</p><br /><p>Compensation: 75th+ percentile for geo and experience + market leading equity</p><br /><p>Reports To: CTO</p><br /><p>Location: NYC (In Person)</p><br /><h3>Overview</h3><br /><p>Hey this is Rohit (CEO/co-founder) writing this. I find most JDs to be quite impersonal and bland. We do things a bit differently here at String. So to start off, I appreciate you for taking the time to read this and for considering us.</p><br /><p>We're building the most comprehensive platform to collect and structure data from the web.</p><br /><p>Customers ranging from the world's largest hedge funds to seed-stage startups use String to pull 50M+ rows of structured web data per week (that's literally 50+ rows every second).</p><br /><p>We're generating 7 figures in ARR and are growing double digit % MoM. We have found initial PMF and are now building our delivery team to accelerate growth. We've done everything so far with a lean team of &lt; 10 people and we recently raised a seed round (unannounced) from leading VCs and angels in our space (Auren Hoffman, Charlie Songhurst, and many more).</p><br /><p>We are looking for the right person to join us on this exciting journey! If you love solving tough technical problems, thrive in fast-paced environments, and enjoy working across the stack, we would love to meet you!</p><br /><h3>What do we do</h3><br /><p>Today any business that wants to collect web data has to jump through many hoops:</p><br /><ul><br /><li>Build infrastructure to send thousands of requests to websites</li><br /><li>Build technology to avoid getting detected as a bot (very hard to do at scale)</li><br /><li>Code individual scripts for every website they want to scrape</li><br /><li>Fix all those scripts as websites change, and</li><br /><li>Ensure consistent data quality across runs</li><br /></ul><br /><p>We solve all of these problems for them so that they never have to worry about scraping. Thus, we 1) significantly improve their end products driving millions in revenue and 2) save them hundreds of thousands of dollars in engineering costs.</p><br /><p>Building this would have been impossible before the AI revolution. We have a unique opportunity to build the first platform where anyone can collect data across any website with just a prompt. And we're excited to be at the forefront of solving this problem for our customers.</p><br /><h3>Who We're Looking For</h3><br /><p>Reach out even if the below isn't a match you, we want great people with any background!</p><br /><ul><br /><li>5+ YOE shipping ??, or equivalent skill :).</li><br /><li>You've launched meaningful products in small teams or 0?1 environments.</li><br /><li>You want to work across the stack (backend, ML, infra, AI agents, etc).</li><br /><li>You want to build in-person, side-by-side with a tight-knit team.</li><br /><li>You're excited by the speed of early-stage startups and bias towards action.</li><br /></ul><br /><h3>Why Join Us</h3><br /><p>Before the AI revolution, building an end to end web scraping platform would have been impossible because every website is structured differently. We have a unique opportunity to build the first platform where a user can structure data across any website with just a prompt. We are at the frontier of AI based web scraping and are tackling a real pain point for our customers.</p><br /><p>As a founding engineer, you will work alongside our CTO (Logan) and own large pieces of our core infrastructure for extracting, analyzing, and visualizing data from the web. The software you build will be used by thousands of enterprise customers to structure web data on a daily basis.</p><br /><p>In this role, we'll ask you to:</p><br /><ul><br /><li>Develop autonomous agents for solving real-world information extraction problems: Yes it's a buzzword. But enterprises are full of dinosaurs who are doing things the same way they did 5 years ago and we're eating their lunch. We use agents because it's the best way to do what we do; there are a lot of weird webpages out there and you need an adaptive system to deal with this.</li><br /><li>Design our full-stack, self-serve application: Most of our users are non technical. We have to make the complex simple and assume reasonable defaults for them. This means having user empathy and the ability to quickly turn that empathy into a useful design. Any experience shipping 0-1 should translate here, ergonomic design is important for technical and non-technical users both.</li><br /><li>Maintain and scale our backend architecture/services: A large part of the value we bring to our customers is the scale of our extraction engine - we're processing thousands of requests per second and pulling 10s of millions of rows of data daily. The sexy parts of the system don't work without this engine humming. A good intuition for the design tradeoffs and breaking points of large scale distributed systems will help here.</li><br /><li>Anything else we need! We're a small team so anything from website updates, writing infrastructure as code etc. will be on the table!</li><br /></ul><br /><p>Skills that are a good fit</p><br /><ul><br /><li>LLM application experience (RAG, agents, langchain, model evaluation, fine-tuning etc.). We apply what we need to make things work.</li><br /><li>Deep domain knowledge in antibot systems/reverse engineering. Talk to us if you've deobfuscated javascript, patched leaks in a browser or ran js in an isolated VM.</li><br /></ul><br /><h3>The Founders</h3><br /><p>Logan (CTO): Leading engineering and has extensive web scraping &amp; AI experience. Ships like a 10 person engineering team (Rohit writing this, so I'm bragging for him). Previously worked as the founding engineer at Nourish (YC W21) and as a software engineer at C3 AI. Has arbitraged Polymarket, frontran ICOs &amp; Coinbase listing, and wrote a chess analytics engine. TLDR has spedrun the full tech bro starter pack.</p><br /><p>Rohit (CEO): Leading GTM and has signed up dozens of enterprises including 6 of the 10 largest hedge funds while spending most of his time coding. Previously worked as a consultant at Bain and cofounded two startups in college, one of them with Logan called CampusOven. Knows the mind of both the tech and finance bro.</p><br /><p>4 Engineers: Engineers have all spent their entire engineering careers in the intersection of scraping (reverse engineering antibots, JS deobfuscation etc) and AI (building harnesses, fine-tuning models etc).</p><br /><p>3 GTM: 1 Account Executive, 1 Chief of Staff, and 1 FDE who run through walls to push revenue forward and deliver value to our customers</p><br /><h3>Values</h3><br /><p>A good way to see if working with us would be a good fit would be to read through our team values. If you get excited from reading these, it's likely a good fit and vice versa.</p><br /><h3>Compensation</h3><br /><p>We're building an exceptional team and so want to be generous on compensation. Our philosophy is that base compensation is for living expenses and equity is for upside. We want you to be able to give your all and benefit proportionately from your contributions, without worrying about living expenses.</p><br /><p>So our compensation structure is a base salary competitive with other seed stage startups (75th percentile salary for the level) and generous equity relative to other startups. We know that part of the excitement of joining a startup is the upside and to feel like an owner - that's why we left our corporate jobs.</p><br /><p>More benefits:</p><br /><ul><br /><li>Medical, dental, and vision insurance</li><br /><li>Gym</li><br /><li>Free breakfast, lunch &amp; dinner at the office</li><br /><li>20 days PTO per year</li><br /><li>Annual international offiste (and additional travel)</li><br /><li>All AI tooling comped (claude max, cursor, codex, copilot, whatever you need)</li><br /></ul><br /><h3>Interview Process</h3><br /><p>Initial conversation with Rohit (CEO) or Logan (CTO) - 20 minutes</p><br /><p>Systems Design with Tufayl (Engineer #1) - 50 minutes</p><br /><p>Product design with Logan (CTO) - 50 minutes</p><br /><p>Final round - depends on availability/schedule but options include virtual/in-person onsite, take home, work trial etc.</p><br /><h3>FAQs</h3><br /><p>We answer some more questions (team values, product vision, how we think about raising, etc.) in this FAQ document, take a look!</p></div><br />#J-18808-Ljbffr

Requirements

• RN
• DO
• PA

Benefits

• Dental
• Vision
• Pto
• Gym