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About Collective: Collective is on a mission to redefine the way businesses-of-one work. Our technology and team of trusted advisors help members achieve financial independence by taking care of everything from business incorporation to accounting, bookkeeping, tax services, and access to a thriving community, all in one integrated platform. We believe in empowering self-employed people to enjoy the same tax savings that big companies get, so they can focus on their passion, not paperwork. Featured in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, TechCrunch, and more. We are backed by General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, Google’s Gradient Ventures, Expa, and other investors who have financed iconic companies like YouTube, Substack, Twitch, Box, Hims, Instacart, and Lyft. About the role: We're hiring a Product Security Engineer to build Collective's application security program — with AI agents at the center of it from day one. This is not a legacy appsec role where you triage a scanner queue by hand: you'll design and operate an agentic appsec pipeline where automated security testing across the stack — static analysis, dynamic testing, and dependency scanning — combines with AI-driven triage and automated security review of code changes to give engineering teams fast, high-signal feedback. Alongside the program, you'll drive vulnerability remediation across the platform — from finding to verified fix — and make targeted code changes that eliminate whole classes of vulnerabilities rather than patching them one at a time. You'll work closely with product engineers on a platform that handles our members' financial and tax data, where the cost of a missed vulnerability is real. What you'll do: - Build and operate an agentic application security program: the full testing stack — SAST, DAST, and software composition analysis (SCA) — integrated into CI/CD, LLM-based triage that separates real findings from noise, and automated security review of pull requests — so security feedback arrives in minutes, not review cycles. - Drive vulnerability remediation end to end: triage and rate findings from scanners, penetration tests, and researchers; route fixes to owning teams; track them to closure against SLAs; and verify that fixes actually close the hole. - Eliminate vulnerability classes at the root: ship secure defaults, paved-path libraries, and framework-level fixes so the easy way to write a feature is also the safe way — targeted, well-scoped code changes in the product codebase. - Lead threat modeling and security review for new features and platform changes, engaging with product engineers early in design rather than at the end — and automate the practice over time, so threat models are living documents that agents draft and update as the system changes rather than point-in-time artifacts. - Tune and evolve the program's signal quality: new rules, better prompts, fewer false positives — treating the agentic pipeline itself as a product you iterate on. - Stay current on the vulnerability landscape relevant to a fintech platform handling sensitive financial and tax data, and translate what matters into concrete program changes. What you'll bring: - 4+ years of security engineering experience with real depth in application security: you know the major vulnerability classes cold — how they're introduced, exploited, and durably fixed — and you've improved the security posture of a production platform, not just reported on it. - Hands-on experience with SAST, DAST, and SCA tooling and CI/CD integration — Semgrep, CodeQL, Bandit, OWASP ZAP, Burp Suite, or equivalent — including the judgment to know which findings matter. - Genuine enthusiasm for building with LLMs and AI agents: you've used them to automate security work (or are visibly on your way there), you can write and evaluate the prompts and workflows that make agentic tooling reliable, and you treat AI as leverage rather than a threat to the craft. - Enough software engineering skill to make confident, well-scoped changes in a production codebase — reading unfamiliar code, shipping a paved-path library, fixing a vulnerability pattern across a service (we run Python/Django on AWS). Building large systems from scratch is not the center of this role; landing precise changes in someone else's code is. - Experience driving remediation through teams you don't manage: clear writeups, severity calls you can defend, and the persistence to get fixes over the line without burning relationships. - Product empathy: security feedback that engineers act on is feedback shaped for how they work — you optimize for fixed vulnerabilities, not filed tickets. What we offer: - Hybrid Work Model: Based in San Francisco with a balance of in-office and remote flexibility. - Fresh Lunch: Provided on in-office days. - Commuter Support: $150 monthly reimbursement for transit expenses. - Health & Wellness: $200 quarterly reimbursement to support your well-being. - Time Off: Flexible PTO plus 14 company holidays. - Comprehensive Coverage: 100% medical, dental, and vision for employees; 75% coverage for dependents. - Parental Leave: 16 weeks fully paid. - Retirement & Ownership: 401k plan plus an equity package. - Team Connection: Quarterly virtual events and an annual in-person summit.

Listed by Collective for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

97 days ago

Senior/Staff Security Engineer

Collective · San Francisco, California, United States

Pay

$195k–260k

Setting

Hybrid

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About Collective: Collective is on a mission to redefine the way businesses-of-one work. Our technology and team of trusted advisors help members achieve financial independence by taking care of everything from business incorporation to accounting, bookkeeping, tax services, and access to a thriving community, all in one integrated platform. We believe in empowering self-employed people to enjoy the same tax savings that big companies get, so they can focus on their passion, not paperwork. Featured in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, TechCrunch, and more. We are backed by General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, Google’s Gradient Ventures, Expa, and other investors who have financed iconic companies like YouTube, Substack, Twitch, Box, Hims, Instacart, and Lyft. About the role: We're hiring a Senior/Staff Product Security Engineer to build the security-critical systems at the heart of Collective's member platform. This is a software engineering role first: you'll design and ship the code that governs how our platform authenticates users and services, what they're authorized to do, and how our members' data is protected. You'll own the authentication and authorization architecture end to end — not as a reviewer or advisor, but as the engineer whose commits land in production. You'll set the direction of this work, not just execute it: what gets built and in what order. As Collective expands its use of AI and agent-based workflows, you'll build the patterns those systems use to authenticate and operate safely. You'll sit on the Security team and spend your days in the product codebase, working alongside product engineers. What you'll do: - Own the end-to-end authentication and authorization architecture of Collective's member platform — session management, multi-factor authentication, authorization enforcement, and machine-to-machine authentication — and personally design, write, and ship the changes that improve it. - Extend those patterns to delegated and agent-based access: how AI agents and third parties act on a member's behalf with scoped, time-boxed, revocable authority — and how their actions are attributed and audited. - Drive the programmatic protection of sensitive member data: design and implement application-layer encryption for member documents and data — key management, envelope encryption, rotation — and build the controls that protect sensitive data in code (scoped access, tokenization, redaction in logs and pipelines) rather than in policy. - Lead the design process for the systems you own: write RFCs, run design reviews, and bring product engineers along on security-critical changes. - Threat-model the identity and data-protection systems you build, and own remediation of findings that touch your domain. - Ground encryption and access-control decisions in the regulatory requirements that apply to a platform handling sensitive member data. What you'll bring: - 8+ years of software engineering experience, including significant time building or owning authentication, identity, authorization, or data-protection systems in production. - Strong backend engineering skills — you're fluent shipping production code in a modern web stack (we run Python/Django on AWS), and you're comfortable making substantial changes to a codebase other teams depend on. - Deep working knowledge of authentication standards and their failure modes: OAuth 2.0 (including token exchange and delegation patterns), OIDC, SAML, JWT, session management, and the differences between securing user-facing and machine-to-machine flows. - Practical applied-cryptography literacy: envelope encryption, KMS-based key management, key rotation, and the tradeoffs of encrypting data at the field, document, and storage layers. You don't need to be a cryptographer — you need to know how to use cryptography correctly in a production system. - Enough security fluency to reason about threats to the systems you build and to hold your own in a threat-modeling session. Deep security specialization is not required — you'll have teammates who bring it; what can't be delegated is the engineering. - Comfort operating as a senior individual contributor who influences platform direction through RFCs, design reviews, and working code rather than a management chain. - Product empathy: the ability to hold security rigor and member experience in the same frame — auth flows are the front door of the product, and getting them wrong in either direction is expensive. What we offer: - Hybrid Work Model: Based in San Francisco with a balance of in-office and remote flexibility. - Fresh Lunch: Provided on in-office days. - Commuter Support: $150 monthly reimbursement for transit expenses. - Health & Wellness: $200 quarterly reimbursement to support your well-being. - Time Off: Flexible PTO plus 14 company holidays. - Comprehensive Coverage: 100% medical, dental, and vision for employees; 75% coverage for dependents. - Parental Leave: 16 weeks fully paid. - Retirement & Ownership: 401k plan plus an equity package. - Team Connection: Quarterly virtual events and an annual in-person summit.

Listed by Collective for a position based in the United States. Employers on this board attest they are hiring domestically.

Human Resources

119 days ago

Technical Recruiter/Senior Technical Recruiter

Collective · San Francisco, California, United States

Pay

$150k–190k

Setting

Hybrid

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Listed by Collective for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

126 days ago

Fullstack Software Engineer

Collective · San Francisco, California, United States

Pay

$170k–200k

Setting

Hybrid

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About Collective: Collective is on a mission to redefine the way businesses-of-one work. Our technology and team of trusted advisors help members achieve financial independence by taking care of everything from business incorporation to accounting, bookkeeping, tax services, and access to a thriving community, all in one integrated platform. We believe in empowering self-employed people to enjoy the same tax savings that big companies get, so they can focus on their passion, not paperwork. Featured in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, TechCrunch, and more. We are backed by General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, Google’s Gradient Ventures, Expa, and other investors who have financed iconic companies like YouTube, Substack, Twitch, Box, Hims, Instacart, and Lyft. About the role: We're hiring a Software Engineer to help build and scale the systems that power Collective's accounting product, the connection between our members' bank activity, bookkeeping, and tax outcomes. You'll work across the stack on the platform that automates reconciliation, ingests transaction data from our banking and accounting partners, and turns raw financial activity into clean, member-ready books. This is a product engineering role with real ownership, working closely with Product, Design, Operations, and our in-house accounting team to ship fast and iterate based on member and operator feedback. You'll be expected to use modern AI tools and agent-based workflows to accelerate development, improve code quality, and unlock new product capabilities. This role is ideal for engineers who are hungry to grow into broader ownership, think in terms of outcomes, and see AI as a core part of how software gets built today. What you'll do: - Build and ship features across the accounting product - from member-facing reconciliation and bookkeeping experiences to internal tooling that powers our accounting and bookkeeping operators - Work on the integration layer between Collective and our partners that includes extending APIs, handling edge cases, and improving data reliability - Improve the transaction pipeline that flows from bank feeds through our accounting platform into our data layer, including reliability, observability, and drift detection between source and destination - Own well-scoped features end-to-end with support from senior engineers to define the approach, build, deploy, instrument, and iterate - Partner with Product, Design, and Operations to translate accounting workflows into clean software, and surface engineering tradeoffs early - Use AI-powered development tools (copilots, code agents, agent workflows) day-to-day to move faster and cut manual overhead - Clear communication and collaboration skills across technical and non-technical partners - Demonstrated ability to integrate AI agents and automation into development workflows and product features What you'll bring: - 3–4 years of experience building and shipping production software in a product-focused environment - Solid fullstack engineering skills (e.g., Python, Django, React, or similar modern frameworks) - Experience integrating with third-party APIs and working with messy, real-world data - Hands-on use of AI developer tools (copilots, code agents) in your day-to-day workflow — not just experiments - Ability to take a well-scoped problem and drive it to a shipped, instrumented solution with light guidance - Good product and UX instincts to make sensible scope tradeoffs and ask the right clarifying questions before building - Clear written and verbal communication, especially when explaining tradeoffs to non-engineering partners - Familiarity with SQL and working with data warehouses (BigQuery a plus) - Interest in the accounting / fintech / payroll domain, or a track record of getting up to speed quickly in a new domain What we offer: - Hybrid Work Model: Based in San Francisco with a balance of in-office and remote flexibility. - Fresh Lunch: Provided on in-office days. - Commuter Support: $150 monthly reimbursement for transit expenses. - Health & Wellness: $200 quarterly reimbursement to support your well-being. - Time Off: Flexible PTO plus 14 company holidays. - Comprehensive Coverage: 100% medical, dental, and vision for employees; 75% coverage for dependents. - Parental Leave: 16 weeks fully paid. - Retirement & Ownership: 401k plan plus an equity package. - Team Connection: Quarterly virtual events and an annual in-person summit.

Listed by Collective for a position based in the United States. Employers on this board attest they are hiring domestically.

Product Management

143 days ago

Product Lead (Core Platform & AI)

Collective · San Francisco, California, United States

Pay

$215k–255k

Setting

Hybrid

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About Collective: Collective is on a mission to redefine the way businesses-of-one work. Our technology and team of trusted advisors help members achieve financial independence by taking care of everything from business incorporation to accounting, bookkeeping, tax services, and access to a thriving community, all in one integrated platform. We believe in empowering self-employed people to enjoy the same tax savings that big companies get, so they can focus on their passion, not paperwork. Featured in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, TechCrunch, and more. We are backed by General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, Google’s Gradient Ventures, Expa, and other investors who have financed iconic companies like YouTube, Substack, Twitch, Box, Hims, Instacart, and Lyft. About the role: We're hiring a Product Lead for our Core Platform to architect the connective tissue of the entire Collective member experience. This role owns the horizontal infrastructure — the unified task system, dashboard, messaging layer, and core UI components — that every vertical product at Collective is built on top of. Reporting directly to the CEO, you'll define and build a function that doesn't yet exist, embedding AI into the platform layer from the ground up and setting the standards that every other product team adopts. What you'll do: - Own the vision, strategy, and roadmap for Collective's Core Platform — the unified task system, dashboard, messaging infrastructure, and shared components that define every member's experience across the entire product ecosystem - Define and mandate the System of Record for tasks and communications that all vertical product teams (Payroll, Accounting, Tax, etc.) must adopt to ensure a coherent, low-noise member experience - Architect the AI integration layer and design how the AI support system connects to the task framework to proactively guide members, deflect support load, and reduce friction before members ever need to contact a human agent - Set the technical standards for task schemas, notification logic, lifecycle states, component contracts, that make it possible for vertical teams to build on your platform without fragmenting the experience - Partner with Internal Tools and Operations to ensure human-in-the-loop workflows have the visibility, automation, and tooling they need to support members efficiently and move toward automated resolution where AI can carry the load - Drive the roadmap and make tradeoff decisions between platform integrity, vertical team speed, and immediate business priorities — with a clear point of view on each call - Measure platform health through the right metrics — shared system adoption, task completion rates, AI deflection rates, ops efficiency — and use that data to drive prioritization - Lead cross-functional alignment across product, engineering, design, and ops to ensure the platform layer gets built, adopted, and continuously improved What you'll bring: - 7+ years of product management or technical experience, with meaningful time spent on platform, infrastructure, or horizontal systems products — you've owned the layer that other teams build on top of - AI product experience — you've shipped products where AI is embedded in the core workflow, not bolted on as a feature. Ideally hands-on with LLMs, agentic systems, or AI support layers in a real product context; at minimum, deeply fluent in AI capabilities - Platform builder instincts — you know the difference between a product for end users and infrastructure for a product organization, and how to implement both. - First-principles thinking under ambiguity — this role is being invented. You won't inherit a roadmap; you'll write one from scratch - Strong cross-functional credibility — you can hold a platform standard without burning peer relationships, and you know when to enforce versus when to flex based on legitimate edge cases - Data fluency — comfortable diagnosing platform health, measuring system adoption, and making prioritization decisions from data without needing a translation layer Comfort operating in fast-paced, high-growth environments where the product and the org are being built simultaneously What we offer: - Hybrid Work Model: Based in San Francisco with a balance of in-office and remote flexibility - Fresh Lunch: Provided on in-office days - Commuter Support: $200 monthly reimbursement for transit expenses - Health & Wellness: $200 quarterly reimbursement to support your well-being - Time Off: Flexible PTO plus 14 company holidays - Comprehensive Coverage: 100% medical, dental, and vision for employees; 75% coverage for dependents - Parental Leave: 16 weeks fully paid - Retirement & Ownership: 401k plan plus an equity package - Team Connection: Quarterly virtual events and an annual in-person summit

Listed by Collective for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

155 days ago

Senior Software Engineer

Collective · San Francisco, California, United States

Pay

$195k–230k

Setting

Hybrid

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About Collective: Collective is on a mission to redefine the way businesses-of-one work. Our technology and team of trusted advisors help members achieve financial independence by taking care of everything from business incorporation to accounting, bookkeeping, tax services, and access to a thriving community, all in one integrated platform. We believe in empowering self-employed people to enjoy the same tax savings that big companies get, so they can focus on their passion, not paperwork. Featured in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, TechCrunch, and more. We are backed by General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, Google’s Gradient Ventures, Expa, and other investors who have financed iconic companies like YouTube, Substack, Twitch, Box, Hims, Instacart, and Lyft. About the role: We’re hiring a Senior Software Engineer to build and evolve the core product experiences that power Collective’s member platform. This is a product engineering role with high ownership across the stack, working closely with Product, Design, and Operations to ship fast and iterate based on real customer needs. You’ll be expected to use modern AI tools and agent-based workflows to accelerate development, improve code quality, and unlock new product capabilities. This role is ideal for engineers who think in terms of outcomes, not tickets, and who see AI as a core part of how software gets built today. What you'll do: - Own features end-to-end — define the problem, build the solution, deploy it, and iterate until it works - Ship high-quality, user-facing product experiences across frontend and backend systems - Partner with Product and Design to break down ambiguous problems into simple, effective solutions — then build them - Leverage AI-powered development tools (code generation, copilots, agent workflows) to move faster and cut manual overhead - Identify and implement AI capabilities in the product where they meaningfully improve the member experience - Ship continuously, instrument what you build, and use customer behavior and feedback to drive the next iteration. - Make system design decisions that balance speed, scalability, and maintainability — and own the tradeoffs - Build and improve developer workflows through automation, internal tooling, and AI-assisted processes - A habit of evaluating new tools, frameworks, and approaches — and a willingness to recommend what works and kill what doesn't What you'll bring: - 5+ years of experience building and shipping production software in a product-focused environment - Strong fullstack engineering skills (e.g., Python, Django, React, or similar modern frameworks) - Track record of owning features or systems end-to-end and delivering measurable user impact - Experience using AI developer tools (copilots, code agents, custom workflows) to ship faster — not just experiment with them - Ability to take a loosely defined member problem and drive it to a shipped solution without waiting for a fully specced PRD - Product instinct that lets you make good scope and UX tradeoffs without a designer in every conversation - Clear communication and collaboration skills across technical and non-technical partners - Demonstrated ability to integrate AI agents and automation into development workflows and product features What we offer: - Hybrid Work Model: Based in San Francisco with a balance of in-office and remote flexibility. - Fresh Lunch: Provided on in-office days. - Commuter Support: $150 monthly reimbursement for transit expenses. - Health & Wellness: $200 quarterly reimbursement to support your well-being. - Time Off: Flexible PTO plus 14 company holidays. - Comprehensive Coverage: 100% medical, dental, and vision for employees; 75% coverage for dependents. - Parental Leave: 16 weeks fully paid. - Retirement & Ownership: 401k plan plus an equity package. - Team Connection: Quarterly virtual events and an annual in-person summit.

Listed by Collective for a position based in the United States. Employers on this board attest they are hiring domestically.

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