Location: San Francisco; New York City
Workplace: OnSite
The charter of Perplexity’s Core Experience team is to create a cohesive, intuitive, and delightful user experience by integrating cutting-edge AI capabilities and research into a unified system. The Core Experience team works closely with product design teams to ship a world-class web app that’s used by millions of people every day. We imagine and build the interfaces through which people experience the promise of AI.
We are seeking a talented engineer with an uncompromising dedication to the craft of frontend web development. You’ll help us to define the future of human-agent collaboration: establishing intuitive mental-models, patterns, and state-representation. You’ll work closely with design to prototype, architect, and engineer novel interfaces for interacting with AI collaborators.
WHAT YOU’LL DO
- Build and ship polished, high-craft, intuitive web interfaces
- Constantly improve high-visibility surfaces like agent chat threads, artifact editing, and message composition
- Partner directly with design to turn visionary ideas into production implementations
- Solve complex problems across architecture, state-management, animation, and performance-optimization
- Collaborate with capabilities and research teams to synthesize the latest research into coherent production experiences
- Support other product teams by designing reusable libraries and SDKs to maintain a high quality-bar across all surfaces of the product
WHAT WE’RE LOOKING FOR
- Strong proficiency in modern web technologies: React, TypeScript, CSS, etc.
- Exceptional taste: relentless attention to detail, from aesthetics to performance to code-quality
- Comfortable owning projects end-to-end, working at high velocity in an ambiguous environment where the industry changes by the day
- Keen product sensibilities: being able to reason about what will work, what won’t, and articulate why
- Customer obsession: always thinking about how what you’re building will touch the person on the other side of the screen
Location: San Francisco
Perplexity is AI for people who expect more. This role brings that same standard to how our data team works, with AI at the center of everything we do.
We're looking for someone who's been a great data scientist, analytics engineer, or data engineer: the kind of person who knows which metric actually matters, can design an A/B test that answers the real question, has gone deep on a data model because something didn't add up, and has decided that the highest-leverage thing they can do next is build AI systems that fundamentally change how data science gets done.
You'll build AI agents and internal systems that can increasingly handle end-to-end analysis workflows: forming hypotheses, writing and running queries, interpreting results, and drafting recommendations with the right evaluation, review, and guardrails. You'll build the retrieval infrastructure and evaluation loops that let AI systems query the warehouse reliably. You'll create workflows that detect, diagnose, and help fix data issues before they become company-wide problems. You'll build the infrastructure that multiplies what a small data team can ship.
You'll join a data team that's already using AI across its work. The next step is turning those individual workflows into scalable systems, shared tools, and an AI-native operating model that becomes a benchmark for how modern data teams work.
WHAT YOU'LL DO
- Build AI agents that do data science - not just SQL copilots, but systems that can safely explore data, form hypotheses, run queries, interpret results, and generate actionable recommendations with clear evaluation and human review loops.
- Make AI systems query the warehouse reliably - build the retrieval infrastructure and evaluation loops that let agents use our semantic context and metadata accurately.
- Accelerate the AI-native data workflow - turn the best existing AI-assisted workflows into repeatable systems, reusable tools, and patterns the whole data team can adopt.
- Automate the data lifecycle - build self-healing pipelines, automated dbt model generation and validation, data quality agents, and diagnosis workflows that reduce manual firefighting.
- Ship AI-powered experiment analysis - build agents that interpret A/B test results, flag statistical issues, identify likely drivers, and draft ship/no-ship recommendations.
- Turn the data team into a product team - build internal data products that stakeholders use every day, replacing ad hoc requests with self-serve AI interfaces.
- Own the full lifecycle - identify high-leverage problems, prototype with LLMs, evaluate accuracy, design the UX, ship to production, and monitor quality over time.
WHAT WE'RE LOOKING FOR
- 6+ years in data science, analytics engineering, data engineering, or a related role. You've been close enough to real data work to know what should and should not be automated.
- Deep SQL and analytics judgment - you can reason through metrics, experiments, data models, and messy warehouse reality without relying on a tool to think for you.
- Strong product sense - you understand what stakeholders actually need, what makes a workflow adoptable, and how to turn a prototype into a product people use.
- Hands-on LLM experience - you've built with frontier models, agents, RAG systems, evals, or AI-powered workflows and have opinions about where they work and where they fail.
- Pipeline and modeling fluency - you've worked with dbt, warehouse schemas, data quality issues, and the practical tradeoffs behind durable data systems.
- Builder mentality - you see a manual process and immediately think about how to systematize it. You ship fast, measure quality, and iterate.
- Autonomy - this is a new function. You'll help define the roadmap as much as execute it.
BONUS
- Experience building production AI agents or agent evaluation systems.
- Experience with Snowflake, semantic layers, or metadata systems.
- Experience building internal tools, Slack bots, CLIs, or developer productivity products that people actually used.
- Strong experimentation background, including metric design and statistical interpretation.
- Experience with BI tools and the judgment to know what should be automated versus kept human-reviewed.
- Early-stage startup experience.
WHY THIS ROLE
- Set the standard for the industry - Perplexity's data team is already using AI across its work. You'll turn that into something other data teams look to as the benchmark.
- Build AI with AI - Perplexity builds AI for people who expect more. You'll bring that same level of ambition to how the company works with data.
- Frontier models, day one - you're at an AI company with access to frontier infrastructure and people who deeply understand what's possible.
- Massive leverage - the systems you build will multiply the output of every data team member and every stakeholder who needs data.
- Direct impact - small team, no layers of approval. Idea to shipped system in days, not quarters.
Location: Seattle, Washington; United States (Remote)
Workplace: Remote
SENIOR ENGINEERING MANAGER, OBSERVABILITY ENGINEERING
Temporal is an open source programming model that can simplify code, make applications more reliable, and help developers focus on the important things like delivering features faster. We are on a mission to be the reliable foundation of every developer's toolbox, and are building the team that will make that happen.
Our values guide us — they are present in how we show up, make decisions, and work together to make an impact. We're curious, driven, collaborative, genuine and humble.
Temporal is growing and we are looking for those who share our values, challenge 'standard' thinking, and want to influence our future. If you have a passion for improving the developer experience, building world-class open-source software and communities, and want to be a part of our amazing team, we'd love to hear from you!
Companies at the frontier of the AI revolution run on Temporal. OpenAI runs on Temporal, handling millions of requests. Cursor runs its cloud coding agents on Temporal at over 50 million actions a day across 7M+ workflows. Lovable, Abridge, and Hebbia build their agents on it too. In the last year alone, AI-native companies executed 1.86 trillion actions on Temporal Cloud, and the curve is still bending upwards. Backed by a recent $550M Series E at a $12.55B valuation, we are building the durable execution layer the agentic era depends on.
Observability is how we and our customers know that layer is holding. This role owns both halves of that problem. Internally, you own the telemetry platform our engineers use to run a multi-tenant service that some of the largest companies in the world rely on. Externally, observability is a product surface. Customers debug their own workflows through what we expose, and the quality of that experience is a key feature of the platform.
We are looking for a leader who has run observability at scale, treats telemetry cost and cardinality as first-class engineering constraints, and has the operational rigor to be accountable for live-site outcomes on a platform where reliability is the product.
RESPONSIBILITIES
- Observability roadmap: Own the team’s technical roadmap and delivery, aligned with broader engineering priorities. Evaluate build, buy, and open-source options, balancing reliability, customer needs, and cost.
- Technical leadership: Lead, hire, and grow a high-ownership team of engineers. Guide technical decisions through design and code reviews. Coach engineers, help them grow, and clear the friction that slows them down.
- Platform ownership: Own the ingestion, storage, query, and visualization path for high-cardinality telemetry across a multi-tenant, multi-cloud fleet. Enable self-serve capabilities to support a growing Engineering organization.
- Operational excellence: Own alerting and incident response tooling end to end. Drive the detection quality, routing, and clear, actionable runbooks that make on-call sustainable, and turn incident reviews into lasting reliability improvements.
- Customer-facing observability: Partner with Product and SDK teams on the telemetry Temporal exposes to customers: metrics, traces, and workflow-level diagnostics. Work directly with design-partner customers and integrate what you learn into the roadmap.
- Cost, capacity & economics: Own the unit economics of observability: cost per ingested series, per query, per namespace. Set cardinality budgets, drive consolidation where tool sprawl has crept in, and negotiate and manage vendor relationships against clear value criteria.
- Partner with Engineering, Product, Security, and Support to resolve competing priorities and deliver shared outcomes. Explain technical tradeoffs and risks clearly to senior leaders and non-specialist partners.
QUALIFICATIONS
- Proven experience leading engineering teams that build and operate observability, monitoring, or telemetry platforms at scale, with strong operational practices.
- Demonstrated success leading engineering teams that build and operate production observability platforms, including hiring, coaching, performance management, and delivery.
- 15+ years in software and/or infrastructure engineering, including 7+ years of people management, with demonstrated ownership of delivery and live-site outcomes.
- Experience hiring, leveling, and performance management.
- Strong distributed-systems expertise with the hands-on judgment to guide architecture and execution rather than guide it from a distance.
- Experience operating multi-tenant infrastructure that other people's production workloads depend on.
- Bachelor's degree in Computer Science or related field, or equivalent practical experience; advanced degree a plus.
- Excellent communication skills, with the ability to partner across engineering, product, and leadership and translate customer feedback into a roadmap.
REQUIRED SKILLS
- Strong leadership and coaching; ability to grow engineers and build a healthy, accountable, high-ownership team, including through reorgs, acquisitions, or platform migrations.
- Set priorities and deliver incremental improvements with incomplete information. Make tradeoffs explicit and adapt plans as customer and operational needs change.
- Command of the observability building blocks — metrics, logs, traces, profiling, and alerting and the tradeoffs between them at scale.
- Time-series and telemetry data fundamentals: cardinality control, retention and downsampling, query performance, and hot/cold storage tiering.
- Live-site reliability craft: SLA/SLO definition, on-call, incident management, and postmortem-driven continuous improvement.
- Ability to review and raise the bar on technical artifacts (design docs, code reviews) across a distributed-systems codebase.
PREFERRED EXPERIENCE
- Applying AI/LLM techniques to triage, anomaly detection, or incident summarization, with clear-eyed judgment about where they help and where they don't.
- OpenTelemetry at depth: collector architecture, semantic conventions, instrumentation strategy.
- The open-source observability stack in production: Prometheus, Mimir/Thanos/Cortex, Grafana, Loki, Tempo, ClickHouse.
- Building observability as a product for external developers, not only as internal tooling.
- Kubernetes internals and multi-cloud delivery across AWS, GCP, and Azure.
- Vendor consolidation or migration programs (commercial APM/SaaS to open-source, or the reverse) with measurable cost and reliability outcomes.
- Developer experience or engineering productivity backgrounds - treating internal engineers as customers with a measurable experience.
- Prior experience at a developer infrastructure or open-source-based company, where the community is part of the feedback loop.
Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity.
Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.
Location: Remote: United States
Workplace: Remote
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
ABOUT THE ROLE
How we build software is changing. Designers are prototyping in code, engineers are shipping polished interfaces, and agents are starting to build directly into the product. More people and more things can create software than ever before. That makes design judgment more important, not less.
We're looking for a Staff/Principal Founding Design Systems Lead to build that judgment into Render's foundations.
This isn't about maintaining a component library. It's about enabling designers, engineers, and agents to build experiences that look, feel, and work like Render, without a designer making every decision or the design systems team reviewing every change. At a company whose whole promise is a platform that just works, the design system is how we keep craft scaling as the product and the team grows.
This role starts hands-on. You're a designer first, with the technical depth to get into the code. You'll partner with the Head of Design to set the vision, then do the foundational work yourself: decide where or whether our Figma library lives and how it operates, get deep into what an AI-ready design system really means, and prototype, test, and ship the system in code. As the function grows, you'll build and lead the team around it. You're energized by building from the ground up, not inheriting something finished.
Here's what makes this role urgent and specific to us: our users are developers, and they're increasingly building with AI agents. That cuts both ways. Inside Render, teams reach for an agent before they check the docs — so a system that isn't legible to AI quietly gets bypassed, and quality drifts toward generic output. And externally, we're building the platform where developers deploy AI-native apps and agents. The person in this role treats the design system as infrastructure for humans, machines, and velocity and has a point of view on what that takes: machine-readable documentation, system rules exposed where agents can read them, an architecture that keeps the brand and accessibility layers ours, and evaluations that catch drift before it ships.
This role reports to the Head of Design.
THIS ROLE IS FOR YOU IF YOU'RE EXCITED BY:
Making great design reproducible, by people and agents. Raise the quality of Render's product and encode what makes it good, so a designer, an engineer, or an agent can produce coherent, usable experiences by default. The system should make excellent work easier, not make every experience look the same.
Reimagining what a design system can be. Build beyond components and tokens into composition rules, interaction patterns, agent-readable guidance, and evaluations, so the fastest way to build is also a path to great quality.
Building and leading a team that multiplies everyone else's impact. Start hands-on, then create the direction, ambitious goals, and caring-but-demanding environment that let a team do the best work of their careers.
The opportunity is to raise the floor for everyone building at Render, human or agent, while giving designers more room to make the most important experiences extraordinary.
WHAT YOU'LL DO
- Set the system's vision and direction. Decide what to preserve, evolve, simplify, or replace based on what builders and customers need — and turn that into focused work, much of which you'll do yourself at first.
- Build the foundations hands-on. Early on, you are the team: setting the architecture, shipping the components, writing the guidance, and establishing the quality bar through your own work before there's anyone to delegate to.
- Build and lead the team that owns the system. As the function grows, hire and develop it — set priorities and ownership, give direct feedback, hold a high bar, and help people do the best work of their careers.
- Elevate Render's visual and interaction design. Raise the bar for typography, hierarchy, density, motion, responsive behavior, accessibility — and the states beyond the happy path, which is where developer tools earn their reputation.
- Make the system legible to AI, not just humans. Lead the work to make Render's design system AI-ready: machine-readable documentation, system rules and tokens exposed where agents can reach them (e.g. via MCP), and an architecture that shrinks the context an agent needs while keeping the brand and accessibility layers ours. The goal: agents building on Render produce on-brand, compliant work by default.
- Guide technical architecture with engineering. Shape everything from components and tokens to how agents discover guidance and check their work. Make sound tradeoffs between flexibility, coherence, performance, and ease of use — layered and headless where that scales better than rigid bundles.
- Define and measure quality, including AI output. Build repeatable evaluations grounded in real tasks — testing generated output against the system's standard, not just whether people use the tools.
- Earn adoption. Work alongside product teams, teach through examples, and turn recurring questions and exceptions into improvements. A system lives or dies on whether people, and their agents, reach for it.
- Keep moving as the ground shifts. Experiment as models and tools evolve, share what you learn, and change direction when the evidence calls for it.
WHAT WE'RE LOOKING FOR
- A track record of setting direction and delivering outcomes in design systems or design engineering — and the appetite to build a function from the ground up before leading a team. You create clarity in ambiguity, make decisions, give difficult feedback, and keep momentum without dropping the quality bar. Experience leading or developing designers/design engineers is a strong plus, as this role grows in that area.
- Exceptional visual and interaction design skills. Your work shows a clear point of view, detail that borders on obsessive, and an ability to make complex experiences feel simple — the kind of craft other practitioners admire.
- Deep systems thinking, and experience building systems other teams actually adopt. You can show how your work improved both their speed and the quality of what shipped — not just that it existed.
- Strong technical fluency. You can prototype and build in code, understand front-end architecture (component API design, tokens, theming, layered/headless patterns), and work through implementation tradeoffs with engineers — not just hand off specs.
- Hands-on use of AI in your work, and a real point of view on AI-ready design systems. You understand where AI helps and where it fails, how to improve its output rather than accept it, and what it takes for a system to serve machines as well as humans. You don't need to have shipped all of it, but you should be able to say where you'd start and why.
- Strong product judgment and developer empathy. You stay close to the people who use what you build and connect system decisions to real workflows and outcomes. Fluency with developers and technical products is a strong plus — our users are engineers, and the system has to serve them and the agents they build with.
NICE-TO-HAVES
- Experience building developer tools, cloud platforms, or infrastructure products where UX is a competitive advantage.
- Hands-on experience making a design system AI-ready: machine-readable documentation, MCP or similar agent access, layered/headless architecture, or evaluation frameworks for AI-generated output.
- Experience building developer or designer tools that became part of other teams' daily workflow.
- Experience leading a major design-system migration or a company-wide change in how teams build.
- Experience evolving a system across platforms, or connecting product and brand experiences.
- Founder or early-stage startup experience.
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
BENEFITS
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We encourage all who are interested to apply. We can't wait to hear from you!
Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view
Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view
Location: Pennsylvania, Ohio
Forward was founded in 2013 by four Stanford Ph.D.s, building the industry's first network digital twin: a mathematically accurate model of the production network. It's the foundation for autonomous networking, giving engineers and AI agents the ability to know the impact of every change before it touches production. That founding instinct still defines how we work. We're accurate and evidence-driven, relentless about clarity, and we'd rather be certain than comfortable, building a groundbreaking platform that transforms how teams run and secure networks across every major cloud and vendor environment.
Global leaders like Goldman Sachs, PayPal, S&P Global, IBM, and Dell trust Forward, alongside fast-growing enterprises and government agencies, realizing an average of $14.2 million in annual benefits, according to IDC. Backed by top-tier investors, including A. Capital, Andreessen Horowitz, Goldman Sachs, MSD Partners, Omega Venture Partners, Section 32, and Threshold Ventures, and headquartered in Santa Clara, we're most proud of our team: curious people who'd rather build what doesn't exist than accept how things have always been done.
Forward Networks is looking for an experienced Regional Sales Director
Do want to create a category and help build a special company?
Do you want to sell a platform that solves real networking problems?
Do sensible quotas and no cap on earnings pique your interest?
Join a company that has been in market 5+ years and has some of the top F500/Global 2000 and Federal agencies already buying and referenceable.
If you have 7-10 years of wildly successful experience selling to large enterprises and have also been on the journey of building an early stage company...you may be the one!
We are building a special team and hope you consider us if you want to have the experience of changing the networking world as we know it.
Responsibilities
Own the development and execution of your sales strategy in territory that aligns with the company’s goals and objectives
Identify and qualify leads, and generate new Fortune 1000 opportunities in order to achieve quota on a quarterly and annual basis
Build strategic working relationships with clients, maintaining a high level of face-to-face contact
Analyze potential sales opportunities by using data analysis and segmented research to identify the attributes most valued by our potential clients
Develop a deep understanding of the competitive landscape and maintain a client database
The ideal candidate will be located in territory, we are open to remote locations near a major airport in remote PA/OH
The expected On-Target Cash Earnings for this role is between 320,000 - 340,000 per year. Within this range, individual pay is determined by several factors including but not limited to, job-related skills, work experience, and relevant education/training
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations:
Austin, TX; New York City
About the team
You will join the Customer Compliance Team, which is focused on building trust with customers through sharing information about Cloudflare’s security program and policies. We assist our Customers, Sales teams, and Legal teams in understanding Cloudflare’s security posture. In this role, you will develop into an SME across Cloudflare’s products, infrastructure, and controls.
As part of this mission, you will actively build with and leverage Cloudflare’s proprietary, in-house AI platforms and developer tooling to eliminate manual bottlenecks, scale compliance operations, and dramatically accelerate our response times to customer inquiries.
What you'll do
Security Questionnaires & RFPs:
Take ownership of filling out complex customer security questionnaires, RFPs, and technical assessments. You will do this by orchestrating our internal AI generation pipelines to draft responses, paired with your own expert human-in-the-loop validation to ensure high accuracy.
Engage with Customers on Security Topics:
Act as a trusted security advisor by engaging directly with enterprise customers on security topics. You will meet with customer security teams to resolve deep architectural inquiries, answer specific security questions, and assist legal teams with security terms in contract negotiations.
Facilitate Customer Audits:
Host, coordinate, and facilitate both on-site and virtual customer audits when customers execute their right to audit, guiding them through our security controls, processes, and compliance evidence.
Build with In-House AI Tools:
Design, configure, and iterate on custom workflows and compliance assistants using Cloudflare’s internally built AI platforms to automate questionnaire triage and security evidence retrieval.
Curate AI-Ready Ground Truth Data:
Structure, audit, and maintain authoritative knowledge repositories covering SOC 2, PCI DSS, ISO 27001, and global security regulations, ensuring our in-house AI models retrieve verified, up-to-date compliance data.
Public Enablement & Trust Portal:
Collaborate with marketing and engineering to mature our customer Trust Portal and self-service resources, making it easy for prospects and enterprise customers to evaluate our security posture independently.
Author Public Security Content:
Research, write, and maintain public-facing white papers, security blogs, and compliance mappings aligned with Cloudflare’s evolving product suite and global regulatory shifts.
Desirable Skills, Knowledge, and Experience:
5–10 years of experience
in security compliance, GRC, technical audit management, IT risk consulting, or customer-facing security assurance.
Demonstrated ability to build with AI:
A hands-on builder mindset with proven experience experimenting with, building on, or configuring AI workflows (e.g., prompt engineering, retrieval-augmented generation concepts, API-based automations, or internal agent configurations) rather than relying solely on packaged third-party software.
Control frameworks:
Solid understanding of security risk and compliance frameworks such as PCI DSS, ISO 27001, SOC 2, and NIST SP 800-53
Technical writing & translation:
Strong written communication skills with the ability to translate complex networking, infrastructure, and cryptographic concepts into clear, plain-language customer responses and white papers.
Customer-facing communication:
Highly comfortable and articulate when presenting to or answering questions from external customers, sales executives, and legal counsel.
Cross-functional leadership:
Comfort partnering across Sales, Product, Legal, and internal Platform/AI Engineering teams to drive projects forward.
Technical curiosity:
Familiarity with data structures, markdown, APIs, or basic scripting (e.g., Python, SQL, or shell) to prototype solutions and inspect model outputs effectively.
Bonus points:
Practical cloud/network engineering experience, deep familiarity with global privacy regulations (GDPR, CCPA), or experience establishing automated operational metrics.
Compensation
Compensation may be adjusted depending on work location.
For New York City based hires: estimated annual salary of $125,000 - $172,000
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
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race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
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Location: Remote - US
About the Job:
LaunchDarkly is the runtime control plane for the AI software development lifecycle (AI-SDLC). Thousands of engineering organizations, including more than a quarter of the Fortune 500, use LaunchDarkly to ship, measure, and control every change that reaches production, whether it is written by people or by AI. Feature management built the company. The next chapter is bigger: as the cost of writing code falls and the volume of change outpaces human review, the constraint is moving from writing software to controlling it. LaunchDarkly is building the critical infrastructure for the AI-SDLC. Customers build their own software factories. We build the rails they run on.
We are hiring the leader of Product Management for LaunchDarkly. Reporting to the Chief Product Officer, you will own the product management organization end to end: the people, operating system, roadmap commitments, and commercial outcomes across every product pillar. You will sit at the technology leadership table as the Product Management peer to the heads of Engineering and Product Design.
The CPO sets the company’s product vision and strategic direction. You will build and run the product organization that turns that direction into a coherent portfolio, shipped outcomes, customer adoption, and revenue growth. This is a hands-on operating role for a product leader who knows how to build the machine, make the tradeoffs, and finish the work.
Responsibilities:
Lead cross-functional product leadership.
Serve as the product counterpart to Engineering, Product Design, Marketing, Sales, Customer Success, and Finance. Resolve cross-functional tradeoffs, establish shared commitments, and ensure LaunchDarkly presents one coherent product strategy to customers and the market.
Build and lead the product management organization.
Design the organization intentionally, allocate resources effectively, maintain a high talent bar, build succession plans, and establish clear ownership for every product surface a customer or sales representative may ask about.
Own the product operating system.
Establish the cadence that turns strategy into shipped software and met goals, including quarterly commitments, leadership reviews, squad-level inspection, launch briefs, new product introduction (NPI), and the product-to-field handoff. Make execution predictable enough that the executive team does not have to ask whether something shipped.
Drive roadmap delivery across every product pillar.
Lead execution across Enterprise, Foundation, Observability, Experimentation, Agent Control, Automation, and the platform beneath them. Build a culture of doing what we say we are going to do.
Create portfolio discipline without slowing the company down.
Ensure new bets enter the portfolio through explicit decisions rather than hallway conversations, while preserving the flexibility to respond to market changes. Marketing dates should be commitments the product organization can confidently support.
Drive finishing.
A product is not done when version one ships; it is done when the team has iterated based on learning. A launch is not done when it ships; it is done when the field is amplifying it. A process is not done when it is written; it is done when it creates leverage for the team.
Own packaging execution and commercial outcomes.
Lead how pricing and packaging land in the product and in the field so every representative can sell the full platform and every pillar contributes to its commercial goals.
Stay close to customers and the field.
Spend time with the largest customers and most demanding evaluators, translate what you learn into product decisions, and build a process that brings customer and field insight into the roadmap at scale.
Use AI to increase product and engineering leverage.
Help the organization adopt AI-assisted development and product practices in ways that increase delivery speed while maintaining quality and judgment.
What Success Looks Like in Your First Year:
The organization is complete. The leadership model is in place, product lines have the right pillar leadership, spans and layers are intentional, decision rights are clear, succession risks are understood, and the organization can continue to scale.
Delivery increases every quarter. Shipped output per team rises quarter over quarter as AI-assisted development compounds, with quality holding.
The operating system runs without the CPO driving it. Reviews, check-ins, launch briefs, and NPI happen on cadence and at a consistent bar.
The portfolio is staffed. Every initiative in flight has an explicit staffing decision and plan behind it.
The numbers move. Activation, attach, activity, and expansion targets for each pillar respond to the organization’s inputs.
The team is stronger than you found it. Product managers have more leverage, complementary strengths are valued over a uniform mold, and every hire raises the bar.
About You:
You are direct, decisive, and high-agency. You identify a problem, propose a fix, and act unless someone tells you not to.
You are a relentless simplifier, not a caretaker. When you find friction, your instinct is to remove process rather than add it. You know how to run a company of this size like a small company that ships.
You are a builder of people and move quickly on people problems. Product leaders who have worked for you say you made them better and would work for you again. You raise the bar clearly, promote based on evidence, and do not allow known performance problems to persist.
You are comfortable challenging a strategy and turning it into a sequenced portfolio. You can tell the story of an idea you pushed back on, how you used evidence to make the call, and how you maintained the relationship.
You write clearly and make decisions. You use written argument to create alignment, expect strong writing from your team, and end meetings with a decision.
You are customer-oriented and commercially grounded. You can move from a conversation with a developer or data scientist to a discussion with an executive buyer or sales leader without losing the thread.
Qualifications:
Minimum of 15+ years of experience in Product Management, including 7+ years leading Product Managers and product leaders across a multi-product B2B platform
.
Experience leading Product Management at the VP, SVP, or equivalent level across a multi-product B2B platform.
Experience leading a product management organization of 20 or more product managers at a company with approximately $100M to $500M in revenue.
A track record of building and developing a product organization, rather than simply inheriting one.
Demonstrated ability to turn company strategy into a reliable operating system that delivers roadmap commitments and measurable business outcomes.
Experience working with a founder or visionary executive and converting a high volume of ideas into a sequenced, resourced portfolio.
Experience building products for engineering organizations and selling to CTOs, platform leaders, and data science teams.
Strong commercial fluency, including experience owning or materially influencing pricing, packaging, attach, expansion, and go-to-market execution.
Experience balancing enterprise and self-serve motions, including an understanding of what drives a large enterprise expansion and what creates value for a developer on a free plan.
Practical experience using AI agents in your own work and applying AI-native approaches to product management or software development. You should have clear opinions about how AI changes product management, supported by things you have shipped.
Demonstrated ability to lead through ambiguity, make decisions with incomplete information, and improve delivery speed without compromising product quality.
Pay:
Target pay ranges based on Geographic Zones* for Level E1:
Zone 1:
San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle
-
$424,000 - $583,000
**
Zone 2:
Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $381,600 - $524,700
*
Zone 3:
All other US locations - $360,400 - $495,550
*
All Zones Inclusive of 25% Bonus Target
LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.
*Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.
**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.
About LaunchDarkly:
Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.
The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:
Improving the velocity and stability of software releases, without the fear of end customer outages
Delivering targeted experiences by easily personalizing features to customer cohorts
Maximizing the business impact of every feature through the ability to experiment and optimize
Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at
hr@launchdarkly.com
.
Do you need a disability accommodation?
Fill out this
accommodations request form
and someone from our People Operations team will contact you for assistance.
Your safety matters to us.
To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from
@LaunchDarkly
.com email addresses or via LinkedIn from "Verified Recruiter" accounts.
Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit
Careers | LaunchDarkly
directly for confirmed job openings and links to apply.
Please notify us of any fraudulent representation by sending an email to
careers@launchdarkly.com
.
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs.
WHAT YOU’LL DO
- Design and build a structured onboarding program for new Account Executives and Sales Engineers, with role-specific tracks
- Deliver onboarding live and asynchronously: cohort sessions, workshops, certifications, and role-plays
- Introduce what AI Fluency means at Sierra and how to incorporate it into daily sales activities (account research, call prep, call recaps, pipeline updates, etc.)
- Make sure every seller can explain, demo and stand behind how Sierra uses AI, so they can speak credibly with customers who are learning to deploy AI themselves
- Establish baseline ramp metrics (time to first meeting, first deal, quota attainment, SE readiness) and set targets for reducing them
- Use AI tools to scale enablement itself: faster content creation, AI-driven role-play and call coaching, and self-serve answers to seller questions
- Partner with Product, Marketing, Sales Leadership, and Sales Engineering to keep content accurate as the product and market change
- Recruit subject-matter experts, including top sellers and SEs, to teach and coach in the program
- Gather feedback from new hires and managers, and iterate on the program quarterly
- Build the global program so it can be adapted for regional teams, including our London office
WHAT YOU’LL BRING
- 6+ years in sales enablement at a high-growth B2B software company, with hands-on onboarding or training experience and experience managing cross-functional programs
- Experience designing and delivering onboarding for both quota-carrying sellers and technical sellers
- Track record of prioritizing competing requests from senior stakeholders and saying no with data
- Track record of tying enablement work to business outcomes, not just completion rates
- Strong facilitator, comfortable teaching experienced sellers and executives
- Willing to do the hands-on work in the early months, not just manage it, and comfortable building from scratch with limited process and few resources
- Able to learn a technical product ([AI agents / enterprise software]) well enough to teach it credibly
- Hands-on, daily use of AI tools in your own work, and experience teaching others to adopt new tools and change how they work
EVEN BETTER…
- Experience running sales kickoff or product launch enablement
- Experience selling or supporting sales in AI, SaaS, or enterprise software
- Familiarity with enablement platforms (e.g., [Highspot, Seismic, Salesforce, Gong])
- Experience running onboarding through rapid headcount growth, or handing a program to a successor
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits
- Lunch, as well as delicious snacks and coffee to keep you energized when working onsite
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description.
Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy.
We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.
Location: Virginia
General Summary
As a Branch Manager with Envoy Mortgage we provide you with a high standard of service, support and tools, with one goal in mind -- Improving Lives!
By listening to our employees and leveraging our teams and resources, we create a work environment poised for success while remaining a competitive lender and employer in the mortgage industry. Through this business approach Envoy Mortgage has been awarded Top Mortgage Employer by Mortgage Professional, 50 Best Companies to Work for by Mortgage Executive Magazine, and the Top Tech Housing Award many years running.
Come join us, and be part of a team where your success, is our success!
The Branch Manager 's primary job functions are to effectively recruit, coach, manage, and motivate a high-performance origination team and support staff while also developing personal production. The Branch Manager is also responsible for the day-to-day originations activities of their branch(s) and overall origination processes within defined targeted goals.
PRINCIPAL FUNCTIONAL RESPONSIBILITIES:
Promote Envoy's products to Real Estate Agents, Home Buyers, other lead sources and all referral sources
Provide leadership for all branch employees by always adhering to the highest ethics, fair and equal treatment of all employees, business partners, and loan applicants.
Acts as a mentor to Mortgage Loan personnel to improve their knowledge of policies and procedures, loan programs, investor guidelines
Keeps abreast of changes to company policies and procedures, secondary market investors and changes in Federal regulations pertaining to mortgages
Must have working knowledge of applicable federal regulations
Work closely with the Senior Management, to be innovative in terms of new origination opportunities
Manage Branch revenue and expenses to meet the Company's objectives
Procure new loan applications that result in funded loans
Adhere to all Envoy standards, including, but not limited to production minimums and customer service
Stay current on personal finance principles in order to offer comprehensive mortgage advice to clients
Monitor processes and communicate effectively with the borrower and all other parties to transactions on the status of loans
Stay current with required continuing education, new products, Freddie Mac and Fannie Mae guidelines, Envoy guidelines and overlays, and HUD guidelines
Ensure all marketing is performed in a manner that is compliant
Ensure maintenance of a current license to perform Origination duties within their assigned branch
Adhere to all Envoy standards, including, but not limited to production minimums and customer service
Comply with company policies, local, state and federal laws regarding position and supervision of employees
Conduct business in an ethical manner and in the best interest of Envoy, with Envoy's core values in mind
Any additional duties that may be assigned by the Divisional Vice President
Qualifications include:
High School diploma or equivalent is required, Bachelor's Degree in Business, Finance or related field, preferred
7 years related experience and/or training; or equivalent combination of education and experience in mortgage origination, with 2+ years related Branch Management, preferred
2 years' experience in sales leadership role managing Loan Originators, preferred
Demonstrated success in growing sales and revenue goals
Average of $500,000 in personal monthly volume or $3 MM (or 6 units) average monthly team volume, preferred minimum
Proven leadership skills with demonstrated capacity in management/motivation of employees
In-depth knowledge of mortgage loan products (FHA/VA/CONV/USDA), processes, procedures, and documentation
Working knowledge / Proficiency in Desktop Underwriter/Desktop Originator (DU/DO), Loan Prospector (LP), and originating systems, Encompass experience, preferred
Demonstrated proficiency with Microsoft Excel, Word and Outlook
Exceptional follow-up, time management, interpersonal, and verbal and written communication skills
Commitment to high standards and adherence to company policy
Ability to manage priorities and workflow
Ability to make timely and sound decisions
Must hold State NMLS or obtain applicable State license within 90 days of employment or employment will be terminated
Satisfactorily pass background check
PHYSICAL REQUIREMENTS:
The employee must occasionally lift and/or move up to 25 pounds
Specific vision abilities required by this job include close vision
While performing the duties of this job, the employee is regularly required to sit, use hands to finger, handle, or feel; reach with hands and arms; and talk or hear
The employee is occasionally required to stand; walk; climb or balance and stoop, kneel, crouch or crawl
Job Type:
- Exempt
Compensation:
- Regular Pay: $36,000 - $64,000
Supplemental Pay:
- Commission Pay
NOTE: The Pay Range indicated may vary based on skills, experience, and location.
Benefits: (Full-Time)
- Health Insurance
- Paid Time Off (PTO)
- Paid Holidays
- 401(k)
We are an equal opportunity employer and value diversity. All employment is decided on the basis of qualifications, merit and business need. We are committed to creating an inclusive environment for all employees.
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs.
What you’ll do
We are looking for a Compensation Partner to join our Compensation team. In this role, you'll play a critical part in supporting and evolving our global compensation programs through robust analysis, scalable processes, AI-native workflows, and cross-functional collaboration. You will serve as a trusted compensation subject matter expert to stakeholders and employees as we continue to grow.
- Conduct detailed compensation analysis and modeling, leveraging AI and automation to support program design and decision-making.
- Lead market benchmarking efforts globally, building scalable workflows for market reviews and ongoing evaluation of internal equity and external competitiveness.
- Manage the execution of our compensation planning cycles, with a focus on data accuracy, analysis, and process optimization.
- Partner with the Recruiting team to optimize offer processes, providing market intelligence and internal equity insights.
- Support stock plan administration, partnering with Legal to manage equity grant processes and improve the accuracy and employee experience of equity operations.
- Develop and maintain compensation tools, dashboards, and self-service experiences that enable Recruiting, People, and business leaders to access compensation insights.
- Champion AI-native workflows by integrating AI tools and automation into compensation processes to improve operational efficiency and surface sharper insights.
WHAT YOU’LL BRING
- 5+ years of compensation or total rewards experience in high-growth technology environments.
- Proven experience developing and maintaining compensation bands, including sales OTE and equity frameworks, and job architectures at scale.
- Strong understanding of global compensation practices, with experience supporting international markets.
- Hands-on experience with equity compensation, including RSUs and stock options, and comfort navigating equity administration processes and platforms such as Carta.
- Highly collaborative, with a track record of building strong cross-functional partnerships, particularly with Recruiting, Legal, and People teams.
- Skilled in leveraging compensation data platforms such as Pave, Radford, and Levels.FYI http://Levels.FYI, and HRIS platforms such as Workday to generate insights and inform decision-making.
- An AI-native operating mindset: you instinctively look for ways to use AI, automation, and technology to improve how work gets done rather than defaulting to manual processes.
EVEN BETTER…
- You've supported compensation programs spanning multiple geographies, including navigating local pay regulations, statutory requirements, and regional market data.
- You have experience at a large or high-growth technology company and understand how to design scalable compensation programs and processes.
- You’ve built AI-powered or automated workflows that replaced manual operational processes or created new self-service capabilities.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits
- Lunch, as well as delicious snacks and coffee to keep you energized when working onsite
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description.
Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy.
We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.
Location: Brazil
About the Role
Join Alvys, an early-stage company transforming the $800B US freight industry. As a DevSecOps Engineer, you'll help protect our platform and the customer data it holds. You'll close cloud security gaps, build security checks into how we ship software, run our penetration testing program, and stand up the infrastructure behind our internal security, IT, and AI tools. This role combines hands-on infrastructure work with coordination across DevOps, engineering teams, IT & Security, and outside security vendors.
Industry Insight
Freight companies run their business on Alvys: loads, drivers, carriers, payments, and financial records. As more of the industry moves to modern software, customers expect that data to be protected like any other business-critical system. Security is part of how we earn and keep their trust.
About Alvys
Alvys is building a multi-tenant SaaS platform that powers modern transportation operations. We combine deep industry knowledge with strong technical execution to bring clarity, automation, and reliability to one of the world's most essential industries. Security is a shared responsibility at Alvys, and this role helps every team meet that bar.
Our Principles
Engineering Principles
Build for Real-World Impact.
Our users rely on Alvys to solve real problems, not abstract ones. Every security fix should reduce real risk to our platform and the people moving freight every day, not just clear a scanner finding.
Extreme Ownership and Empowerment.
Ownership extends beyond building. It means being accountable for quality, reliability, and customer impact. If it's in production, it's yours: bugs, uptime, and results.
Technology Debt is Strategic, Not Accidental.
Technical debt is a strategic choice, not an oversight. We incur it deliberately when it unlocks speed, learning, or market advantage. Our architecture remains clean, maintainable, and scalable as we grow.
Simplicity Scales; Complexity Costs.
Logistics is inherently complex, but our technology shouldn't be. We prioritize simplicity in our architecture, leveraging modularity and well-defined service boundaries to reduce cognitive load.
Radical Transparency.
We democratize data and make it accessible across all functions to drive alignment and decision-making. Transparency also means feedback. We systematize constructive feedback loops to ensure growth.
Engineering Culture
Move Fast, Learn Fast.
Speed is our advantage, but we move fast intentionally. We bias for action, assume positive intent, and treat every mistake as a learning opportunity.
Own the Outcome.
Every engineer owns outcomes, not tickets. We take responsibility end-to-end, identifying problems, delivering solutions, and ensuring they last.
Partner, Don't Gatekeep.
Security works best when it's built with the teams who own the systems. We share context with DevOps and engineering teams, explain the risk behind each ask, and make the secure path the easy one.
Pragmatism Over Purism.
Perfect security doesn't exist, but reduced risk does. We choose fixes that scale, are maintainable, and address real threats, not theoretical ones.
People Over Heroics.
We don't reward burnout or always-on behavior. Sustainability is a feature, not a luxury. If someone needs to slow down, unplug, or take care of life outside work, that's expected.
Responsibilities
Cloud security architecture
Design and deliver infrastructure changes that strengthen our cloud security posture, including network isolation and identity-based access.
Make these changes through infrastructure as code, plan rollouts that avoid customer downtime, and work with service owners to update the applications that depend on them.
Build secure defaults into our infrastructure modules so new resources start out compliant.
Vulnerability management and pipeline security
Help run our vulnerability management program, driving remediation within defined SLAs.
Extend our existing security scanning with AI-assisted security testing, such as automated security code review and AI-driven penetration testing.
Tune and improve the automation we already use to process security findings.
Penetration testing
Manage our third-party penetration tests from start to finish: scoping and targeting, test environments and accounts, vendor coordination, findings intake, and retesting.
Help mature our internal, AI-assisted penetration testing tool into a dependable part of the security program, including deployment and scheduled runs.
Infrastructure for security, IT, and AI tooling
Deploy and operate internal applications in Azure, with identity, secrets, networking, and backups set up correctly from day one.
Build telemetry pipelines (OpenTelemetry into Azure Monitor) for our AI and internal tools, with dashboards and alerts that surface anomalous activity.
Working with others
Partner with DevOps, engineering teams, and IT & Security to plan and prioritize work.
Write clear runbooks and documentation, and produce evidence for our SOC 2 program.
Tech Stack
Cloud: Azure (AKS, App Service, Azure Functions, Storage, Key Vault, Cosmos DB, VNets, Microsoft Entra ID)
Infrastructure as code: Terraform
CI/CD: GitHub Actions and Azure DevOps pipelines
Containers: Docker, Kubernetes, Azure Container Registry
Observability: Azure Monitor, App Insights, Log Analytics, OpenTelemetry, Grafana
Security: Aikido, Cloudflare
AI tooling: Cursor, Claude, Claude Platform (managed agents), Grokbot
Application code: .NET/C#, TypeScript, Angular, React
Minimum Qualifications
Fluent in English, spoken and written.
3+ years of professional experience in DevOps, cloud infrastructure, platform engineering, or security engineering.
Hands-on experience with at least one major cloud provider (Azure, AWS, or GCP), including networking, identity and access management, and secrets management.
Production experience with infrastructure as code, preferably Terraform.
Experience building and maintaining CI/CD pipelines.
Working knowledge of containers and Kubernetes.
Scripting skills in Python, PowerShell, or Bash.
Understanding of common security risks in cloud and web applications, and how to fix them.
Ability to explain technical risk clearly to engineers and non-engineers.
Preferred Qualifications
Experience with Azure specifically, including private endpoints, VNet integration, and Entra ID managed identities.
Experience with application security testing (SCA, SAST, DAST), and interest in applying AI to security testing.
Experience coordinating penetration tests or working with external security firms.
Experience with OpenTelemetry, Azure Monitor, or similar observability tools, including writing alert queries (KQL is a plus).
Familiarity with SOC 2, ISO 27001, or CIS Benchmarks.
Interest in AI tooling and how to deploy and monitor it safely.
Security certifications such as AZ-500, Security+, or similar are a plus.
Background in logistics or transportation is a bonus.
Location: Mexico
About the Role
Join Alvys, an early-stage company transforming the $800B US freight industry. As a DevSecOps Engineer, you'll help protect our platform and the customer data it holds. You'll close cloud security gaps, build security checks into how we ship software, run our penetration testing program, and stand up the infrastructure behind our internal security, IT, and AI tools. This role combines hands-on infrastructure work with coordination across DevOps, engineering teams, IT & Security, and outside security vendors.
Industry Insight
Freight companies run their business on Alvys: loads, drivers, carriers, payments, and financial records. As more of the industry moves to modern software, customers expect that data to be protected like any other business-critical system. Security is part of how we earn and keep their trust.
About Alvys
Alvys is building a multi-tenant SaaS platform that powers modern transportation operations. We combine deep industry knowledge with strong technical execution to bring clarity, automation, and reliability to one of the world's most essential industries. Security is a shared responsibility at Alvys, and this role helps every team meet that bar.
Our Principles
Engineering Principles
Build for Real-World Impact.
Our users rely on Alvys to solve real problems, not abstract ones. Every security fix should reduce real risk to our platform and the people moving freight every day, not just clear a scanner finding.
Extreme Ownership and Empowerment.
Ownership extends beyond building. It means being accountable for quality, reliability, and customer impact. If it's in production, it's yours: bugs, uptime, and results.
Technology Debt is Strategic, Not Accidental.
Technical debt is a strategic choice, not an oversight. We incur it deliberately when it unlocks speed, learning, or market advantage. Our architecture remains clean, maintainable, and scalable as we grow.
Simplicity Scales; Complexity Costs.
Logistics is inherently complex, but our technology shouldn't be. We prioritize simplicity in our architecture, leveraging modularity and well-defined service boundaries to reduce cognitive load.
Radical Transparency.
We democratize data and make it accessible across all functions to drive alignment and decision-making. Transparency also means feedback. We systematize constructive feedback loops to ensure growth.
Engineering Culture
Move Fast, Learn Fast.
Speed is our advantage, but we move fast intentionally. We bias for action, assume positive intent, and treat every mistake as a learning opportunity.
Own the Outcome.
Every engineer owns outcomes, not tickets. We take responsibility end-to-end, identifying problems, delivering solutions, and ensuring they last.
Partner, Don't Gatekeep.
Security works best when it's built with the teams who own the systems. We share context with DevOps and engineering teams, explain the risk behind each ask, and make the secure path the easy one.
Pragmatism Over Purism.
Perfect security doesn't exist, but reduced risk does. We choose fixes that scale, are maintainable, and address real threats, not theoretical ones.
People Over Heroics.
We don't reward burnout or always-on behavior. Sustainability is a feature, not a luxury. If someone needs to slow down, unplug, or take care of life outside work, that's expected.
Responsibilities
Cloud security architecture
Design and deliver infrastructure changes that strengthen our cloud security posture, including network isolation and identity-based access.
Make these changes through infrastructure as code, plan rollouts that avoid customer downtime, and work with service owners to update the applications that depend on them.
Build secure defaults into our infrastructure modules so new resources start out compliant.
Vulnerability management and pipeline security
Help run our vulnerability management program, driving remediation within defined SLAs.
Extend our existing security scanning with AI-assisted security testing, such as automated security code review and AI-driven penetration testing.
Tune and improve the automation we already use to process security findings.
Penetration testing
Manage our third-party penetration tests from start to finish: scoping and targeting, test environments and accounts, vendor coordination, findings intake, and retesting.
Help mature our internal, AI-assisted penetration testing tool into a dependable part of the security program, including deployment and scheduled runs.
Infrastructure for security, IT, and AI tooling
Deploy and operate internal applications in Azure, with identity, secrets, networking, and backups set up correctly from day one.
Build telemetry pipelines (OpenTelemetry into Azure Monitor) for our AI and internal tools, with dashboards and alerts that surface anomalous activity.
Working with others
Partner with DevOps, engineering teams, and IT & Security to plan and prioritize work.
Write clear runbooks and documentation, and produce evidence for our SOC 2 program.
Tech Stack
Cloud: Azure (AKS, App Service, Azure Functions, Storage, Key Vault, Cosmos DB, VNets, Microsoft Entra ID)
Infrastructure as code: Terraform
CI/CD: GitHub Actions and Azure DevOps pipelines
Containers: Docker, Kubernetes, Azure Container Registry
Observability: Azure Monitor, App Insights, Log Analytics, OpenTelemetry, Grafana
Security: Aikido, Cloudflare
AI tooling: Cursor, Claude, Claude Platform (managed agents), Grokbot
Application code: .NET/C#, TypeScript, Angular, React
Minimum Qualifications
Fluent in English, spoken and written.
3+ years of professional experience in DevOps, cloud infrastructure, platform engineering, or security engineering.
Hands-on experience with at least one major cloud provider (Azure, AWS, or GCP), including networking, identity and access management, and secrets management.
Production experience with infrastructure as code, preferably Terraform.
Experience building and maintaining CI/CD pipelines.
Working knowledge of containers and Kubernetes.
Scripting skills in Python, PowerShell, or Bash.
Understanding of common security risks in cloud and web applications, and how to fix them.
Ability to explain technical risk clearly to engineers and non-engineers.
Preferred Qualifications
Experience with Azure specifically, including private endpoints, VNet integration, and Entra ID managed identities.
Experience with application security testing (SCA, SAST, DAST), and interest in applying AI to security testing.
Experience coordinating penetration tests or working with external security firms.
Experience with OpenTelemetry, Azure Monitor, or similar observability tools, including writing alert queries (KQL is a plus).
Familiarity with SOC 2, ISO 27001, or CIS Benchmarks.
Interest in AI tooling and how to deploy and monitor it safely.
Security certifications such as AZ-500, Security+, or similar are a plus.
Background in logistics or transportation is a bonus.
Location: United States
About the Role
Join Alvys, an early-stage company transforming the $800B US freight industry. As a DevSecOps Engineer, you'll help protect our platform and the customer data it holds. You'll close cloud security gaps, build security checks into how we ship software, run our penetration testing program, and stand up the infrastructure behind our internal security, IT, and AI tools. This role combines hands-on infrastructure work with coordination across DevOps, engineering teams, IT & Security, and outside security vendors.
Industry Insight
Freight companies run their business on Alvys: loads, drivers, carriers, payments, and financial records. As more of the industry moves to modern software, customers expect that data to be protected like any other business-critical system. Security is part of how we earn and keep their trust.
About Alvys
Alvys is building a multi-tenant SaaS platform that powers modern transportation operations. We combine deep industry knowledge with strong technical execution to bring clarity, automation, and reliability to one of the world's most essential industries. Security is a shared responsibility at Alvys, and this role helps every team meet that bar.
Our Principles
Engineering Principles
Build for Real-World Impact.
Our users rely on Alvys to solve real problems, not abstract ones. Every security fix should reduce real risk to our platform and the people moving freight every day, not just clear a scanner finding.
Extreme Ownership and Empowerment.
Ownership extends beyond building. It means being accountable for quality, reliability, and customer impact. If it's in production, it's yours: bugs, uptime, and results.
Technology Debt is Strategic, Not Accidental.
Technical debt is a strategic choice, not an oversight. We incur it deliberately when it unlocks speed, learning, or market advantage. Our architecture remains clean, maintainable, and scalable as we grow.
Simplicity Scales; Complexity Costs.
Logistics is inherently complex, but our technology shouldn't be. We prioritize simplicity in our architecture, leveraging modularity and well-defined service boundaries to reduce cognitive load.
Radical Transparency.
We democratize data and make it accessible across all functions to drive alignment and decision-making. Transparency also means feedback. We systematize constructive feedback loops to ensure growth.
Engineering Culture
Move Fast, Learn Fast.
Speed is our advantage, but we move fast intentionally. We bias for action, assume positive intent, and treat every mistake as a learning opportunity.
Own the Outcome.
Every engineer owns outcomes, not tickets. We take responsibility end-to-end, identifying problems, delivering solutions, and ensuring they last.
Partner, Don't Gatekeep.
Security works best when it's built with the teams who own the systems. We share context with DevOps and engineering teams, explain the risk behind each ask, and make the secure path the easy one.
Pragmatism Over Purism.
Perfect security doesn't exist, but reduced risk does. We choose fixes that scale, are maintainable, and address real threats, not theoretical ones.
People Over Heroics.
We don't reward burnout or always-on behavior. Sustainability is a feature, not a luxury. If someone needs to slow down, unplug, or take care of life outside work, that's expected.
Responsibilities
Cloud security architecture
Design and deliver infrastructure changes that strengthen our cloud security posture, including network isolation and identity-based access.
Make these changes through infrastructure as code, plan rollouts that avoid customer downtime, and work with service owners to update the applications that depend on them.
Build secure defaults into our infrastructure modules so new resources start out compliant.
Vulnerability management and pipeline security
Help run our vulnerability management program, driving remediation within defined SLAs.
Extend our existing security scanning with AI-assisted security testing, such as automated security code review and AI-driven penetration testing.
Tune and improve the automation we already use to process security findings.
Penetration testing
Manage our third-party penetration tests from start to finish: scoping and targeting, test environments and accounts, vendor coordination, findings intake, and retesting.
Help mature our internal, AI-assisted penetration testing tool into a dependable part of the security program, including deployment and scheduled runs.
Infrastructure for security, IT, and AI tooling
Deploy and operate internal applications in Azure, with identity, secrets, networking, and backups set up correctly from day one.
Build telemetry pipelines (OpenTelemetry into Azure Monitor) for our AI and internal tools, with dashboards and alerts that surface anomalous activity.
Working with others
Partner with DevOps, engineering teams, and IT & Security to plan and prioritize work.
Write clear runbooks and documentation, and produce evidence for our SOC 2 program.
Tech Stack
Cloud: Azure (AKS, App Service, Azure Functions, Storage, Key Vault, Cosmos DB, VNets, Microsoft Entra ID)
Infrastructure as code: Terraform
CI/CD: GitHub Actions and Azure DevOps pipelines
Containers: Docker, Kubernetes, Azure Container Registry
Observability: Azure Monitor, App Insights, Log Analytics, OpenTelemetry, Grafana
Security: Aikido, Cloudflare
AI tooling: Cursor, Claude, Claude Platform (managed agents), Grokbot
Application code: .NET/C#, TypeScript, Angular, React
Minimum Qualifications
Fluent in English, spoken and written.
3+ years of professional experience in DevOps, cloud infrastructure, platform engineering, or security engineering.
Hands-on experience with at least one major cloud provider (Azure, AWS, or GCP), including networking, identity and access management, and secrets management.
Production experience with infrastructure as code, preferably Terraform.
Experience building and maintaining CI/CD pipelines.
Working knowledge of containers and Kubernetes.
Scripting skills in Python, PowerShell, or Bash.
Understanding of common security risks in cloud and web applications, and how to fix them.
Ability to explain technical risk clearly to engineers and non-engineers.
Preferred Qualifications
Experience with Azure specifically, including private endpoints, VNet integration, and Entra ID managed identities.
Experience with application security testing (SCA, SAST, DAST), and interest in applying AI to security testing.
Experience coordinating penetration tests or working with external security firms.
Experience with OpenTelemetry, Azure Monitor, or similar observability tools, including writing alert queries (KQL is a plus).
Familiarity with SOC 2, ISO 27001, or CIS Benchmarks.
Interest in AI tooling and how to deploy and monitor it safely.
Security certifications such as AZ-500, Security+, or similar are a plus.
Background in logistics or transportation is a bonus.
Equal Employment Opportunity
Alvys is an equal opportunity employer and as such, we do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable laws.
We are dedicated to growing a diverse team of highly talented people. We’re dedicated to building a workplace where we give each other the strategies, support, and space we each need to thrive—believing in and bringing out the best of everyone.
If you require any accommodations during the recruitment process, whether it be alternate forms of material, accessible meeting rooms, etc., please let us know and we will work with you to meet your needs.
For information about Alvys's privacy practices, see our
Privacy Policy
.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Communications Manager at Anthropic, you will bring The Anthropic Institute's research to the world. The Institute works to advance the public conversation around AI, publishing findings so that policymakers, researchers, journalists, and the public can reckon with what's here and prepare for what's ahead.
You will provide dedicated communications coverage for the Institute's two largest and fastest growing research engines: 1) Economic Research, which tracks AI's effect on jobs, wages, and the broader economy through the Anthropic Economic Index and labor market analysis, and 2) Societal Impacts, which studies how Claude is actually used, from workplace impacts and personal guidance to Claude's values and frontier agent use. You’ll also support TAI’s other teams, including Special Projects and the Frontier Red Team.
In this role, you'll drive research tracking, publication strategy, and reactive press across both portfolios, including launches like quarterly Economic Index releases and the rollout of the new Economic Research Fund. You'll partner closely with the Economic Research and Societal Impacts research teams day to day, work alongside the Deputy Communications Lead, and coordinate with Anthropic's broader communications, policy, and editorial teams to keep messaging aligned while maintaining the Institute's distinct voice.
Responsibilities
Drive day-to-day communications for the Economic Research and Societal Impacts teams, including research tracking, publication planning, and reactive press
Lead communications planning and launch execution for the Anthropic Economic Index, recurring labor market analyses, and new research initiatives like the Economic Research Fund
Develop narratives that translate technical and quantitative research for audiences well beyond specialist communities
Build and maintain relationships with reporters across economics, labor, technology, research, and general interest outlets, along with academic economists and think tank researchers
Draft communications plans, briefing documents, talking points, press materials, and social content
Manage reactive press on sensitive findings in partnership with the Communications Lead, Deputy Communications Lead, and policy team
Partner with policy and editorial teams on publishing strategy, ensuring research reaches the largest appropriate audience through the Anthropic blog, the Institute's site, microsites, interactive experiences, video, and audio
Present researchers for media interviews, podcast appearances, and speaking engagements, and prepare them to succeed in those moments
Partner with Institute communications leadership on major announcements and milestone engagements
Build repeatable rollout playbooks and processes that allow a lean team to cover a growing research portfolio
Track both teams' research agendas to shape findings early and plan publications months in advance
You may be a good fit if you
Have deep communications experience, with significant depth in research, science, economics, or policy communications
Have a track record of translating complex, technical, or academic research into public narratives that reach audiences well beyond specialist communities
Are comfortable reading and interrogating quantitative research, and can engage substantively and credibly with the researchers who produce it
Have strong, active media relationships
Can move between long-lead strategic messaging and fast-turnaround tactical execution without losing quality, from planning a launch months out to handling an inbound press inquiry the same day
Have led multi-channel rollouts spanning strategy, digital, press, and cross-functional approvals
Are intellectually curious about AI's impact on the economy, society, and the future of work, and can embrace the unexpected in a field where the unusual is the norm
Thrive in fast-moving environments where priorities shift and ambiguity is common
Are excited about Anthropic's mission to develop AI that is safe and beneficial
Strong candidates may also have
Experience at a research institution, think tank, economics publication, or policy organization communicating quantitative findings
Familiarity with the AI policy landscape and the debates around AI's labor market and societal impacts
Experience standing up communications processes or playbooks on a small, growing team
A background working directly with economists, social scientists, or academic researchers on publication strategy
Experience managing sensitive or high-scrutiny press moments, including deciding what to say, when, and how
Enthusiasm for using AI tools in your own workflows to multiply what a small team can do
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$265,000
—
$295,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Hybrid - San Francisco
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the Role:
We are seeking a Community Manager, Experiential Marketing to bring Vercel’s developer community together through memorable events and experiences. You will plan and execute meetups, workshops, and community programs that build meaningful connections, deepen engagement, and bring our brand to life.
The Ideal candidate is creative and scrappy. You will build relationships with developers and community partners, collaborate across teams, and own event logistics, tracking, and reporting to measure impact and improve future experiences.
This position will be based out of the SF office in a hybrid basis (3 days/week) and includes in-office anchor days on Monday, Tuesday, and Friday.
What You Will Do:
Plan and execute a wide range of events, meetups, hackathons, developer events, and programs both in the HQ office and at outside venues
Take new community programs from zero to one, turning ideas into repeatable experiences that connect developers and grow engagement
Collaborate with internal teams and external vendors to ensure seamless event execution
Manage event timelines, budgets, and logistics, ensuring all deadlines are met
Coordinate with support staff, including catering, AV, and facilities tech, to ensure all event requirements are fulfilled
Maintain accurate event records, including attendee lists, budgets, and post-event reports
Proactively identify and resolve potential issues or challenges related to events
Continuously seek opportunities to improve event processes and enhance attendee experiences
Provide on-site support during events to ensure smooth operations and attendee satisfaction
Manage event-related communication, including invitations, reminders, and follow-ups
About You:
3+ Years of experience in developer advocacy, devrel, community, or a similar role, running developer facing events, hackathons, etc.
Have creative problem-solving skills and the ability to think on your feet
Are meticulous and have a strong attention to detail and a commitment to delivering high-quality events
Have strong organizational and time management skills, with the ability to handle multiple projects simultaneously
Possess excellent communication and interpersonal skills, with the ability to build and maintain relationships with internal and external stakeholders
Are able to work independently and collaboratively in a fast-paced environment
Have flexibility to work outside of regular business hours, as required by event schedule
Compensation & Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $104,000 - $163,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: New York, NY (HQ); San Francisco, CA
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
As a Software Engineer, Enterprise Product, you’ll solve the hardest problems standing between Ramp and the world’s largest and most complex companies — shaping and shipping the product capabilities that unlock our growth upmarket. You'll be part of our Core FDE org, which is an agent-first, high-pace, customer-facing engineering team. On FDE, you will interact directly with customers and deliver solutions end to end — understanding pain points, shaping product decisions, and building agents that autonomously expand Ramp's capabilities.
Check out our Engineering Blog https://engineering.ramp.com/ and FDE post https://engineering.ramp.com/post/forward-deployed-engineering for more context on our work!
WHAT YOU’LL DO
- Deliver software end to end that meet the needs of our largest customers — understanding user pain points, scoping product specs, and building agents that autonomously implement solutions.
- Collaborate closely with Sales, Solutions, Customer Success, and Account Management to close deals, activate customers, and expand the value Ramp provides over time.
- Drive the core product engineering roadmap through our embedding model — specializing within a core product area to develop deep domain expertise and make prioritization calls on when to build a custom solution vs. accelerate a broader initiative.
WHAT YOU NEED
- 3+ years of software engineering experience preferred
- Extensive experience building with and for agents
- Track record of shipping high-quality products at scale
- Comfort and excitement to be customer-facing
- Desire to work in a fast-paced environment, continuously grow, and master your craft
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a SLED Solutions Architect, you'll be a trusted technical advisor to State, Local, and Education customers in every state east of the Mississippi River: state agencies, counties, cities, special districts, community colleges, and public, private, and research universities. These organizations deliver services residents and students rely on every day, often with lean IT teams, aging systems, fixed fiscal-year budgets, and growing cybersecurity threats.
You'll show them how GitLab's DevSecOps platform and AI capabilities, including the GitLab Duo Agent Platform, help them modernize legacy applications, protect sensitive resident and student data, meet state and sector compliance requirements, and do more with the staff they have. You'll own the technical evaluation and validation stages of the sales cycle, guide customers through proofs of concept and value, and translate platform capabilities into outcomes that agency leaders, CIOs, CISOs, and procurement officers can defend in a budget request or an RFP evaluation.
You'll partner closely with SLED account executives, channel partners, and systems integrators, provide technical guidance from first conversation through successful deployment, and bring the voice of the SLED customer back into Product, Sales, and Marketing.
Location and travel:
The territory covers all states east of the Mississippi River. The candidate must reside in the Northeast part of the United States. This role requires up to 50% travel.
What you'll do
Engage SLED customers onsite and remotely, from state capitals to university campuses, with tailored demos, technical presentations, and hands-on workshops that tie GitLab to their mission.
Partner with SLED account executives to shape account strategies that align with each customer's fiscal year budget cycle, legislative appropriations, IT modernization plans, and grant or federal pass through funding.
Own the technical evaluation process, including proof of concept (POC) and proof of value (POV) design and delivery, and provide technical responses for RFIs, RFPs, RFQs, and security questionnaires.
Support purchases made through cooperative purchasing agreements and statewide contract vehicles by working with channel and reseller partners.
Guide customers through state and sector security requirements, such as GovRAMP and NIST frameworks, and show how GitLab's built in security, auditability, and deployment options reduce compliance burden.
Help agencies and institutions modernize legacy and mainframe applications, such as unemployment insurance, tax, DMV, benefits, and student information systems, using GitLab and AI-assisted development to lower risk and offset shrinking pools of legacy skilled staff.
Advise customers on adopting AI responsibly, including the GitLab Duo Agent Platform, in line with state AI policies, governance boards, and data privacy requirements.
Lead the creation of Customer Success Plans that capture technical success criteria and handoff details, ensuring a smooth path to deployment and adoption, often for IT teams with limited capacity.
Work alongside Account Executives to build data driven business cases that quantify delivery bottlenecks, giving customers a defensible basis for budget requests and clear evidence of return on taxpayer investment.
Build relationships with CIOs, CISOs, agency directors, enterprise architects, faculty, research computing leaders, and procurement officers so they become advocates for GitLab, including across agencies and campuses that share services.
Collaborate with systems integrators and state IT shared-services organizations to scale GitLab adoption across multiple agencies, local governments, or campuses.
Serve as the SLED customer advocate internally, channeling feedback on procurement, compliance, and deployment needs to Product, Sales, and Marketing.
Stay current on GitLab and related technologies, and create reusable SLED demos, reference architectures, and assets for customers and partners.
What you'll bring
Background in technical pre-sales, consulting, or IT roles serving state agencies, local governments, or public, private, and research universities, where you guided customers through evaluations and solution design.
Working knowledge of how SLED organizations buy technology: RFP and RFI cycles, cooperative purchasing agreements, statewide contracts, fiscal-year budgeting, and the role of resellers and systems integrators.
Hands-on experience using GitLab and familiarity with modern software development and operations practices, such as CI/CD, DevSecOps, and automation.
Experience with cloud, hybrid, and self-managed deployments in regulated environments, including government cloud regions, and an understanding of data residency and sovereignty concerns.
Familiarity with security and compliance frameworks common in SLED, such as GovRAMP and NIST SP 800-53.
Ability to connect technical solutions to mission outcomes, such as resident service delivery, cyber resilience, cost avoidance, and workforce efficiency, and to advise senior stakeholders on tradeoffs and options.
Strong communication and relationship-building skills, including presenting to both technical teams and non-technical leaders such as agency heads, procurement officers, and university administrators.
Openness to learning, seeking feedback, and building new skills, including familiarity with GitLab's Solutions Architect handbook and related resources.
Nice to have
Prior experience working in or for state or local government IT, or a university IT or research computing organization.
Experience with legacy or mainframe modernization programs.
Familiarity with AI governance practices in the public sector, such as AI use-case inventories, acceptable-use policies, and risk assessments.
About the team
The SLED Solutions Architect role is part of GitLab's Public Sector Solutions Architect team, a group of trusted technical advisors who help government and education customers understand, evaluate, and adopt the GitLab DevSecOps platform. The team is distributed and collaborates asynchronously across time zones using GitLab and our handbook-first practices to share knowledge, reusable examples, and best practices.
On the SLED team, you'll help customers solve challenges unique to state, local, and education organizations: protecting resident and student data, modernizing mission-critical legacy systems, buying through public procurement processes, and stretching limited IT staff and budgets. You'll also bring SLED customer insights back to GitLab to shape product direction.
How GitLab Supports Full-Time Employees
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Flexible Paid Time Off
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Growth and Development Fund
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GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
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Location: Remote (United States | Canada)
Workplace: Remote
1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing.
About 1Password
At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work.
If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future.
As part of the SaaS Manager https://1password.com/product/saas-manager team, you'll be building the platform that IT and Security teams rely on to discover, govern, and optimize their AI and SaaS ecosystems (work that just earned 1Password recognition as a Leader in the 2026 Gartner® Magic Quadrant™ for SaaS Management Platforms). You'll work on real problems: uncontrolled AI spend, shadow IT, SaaS sprawl, and the complex access lifecycles that come with it. Following 1Password's acquisition of Trelica in early 2025 https://blog.1password.com/1password-acquires-trelica/, you'll join a collaborative team with a startup mindset backed by the resources and mission of one of the most trusted names in security. As we scale the platform to meet our enterprise-scale ambitions, you'll help shape not just what we build, but how we build it.
We are looking for an Intermediate Developer who is energized by doing meaningful work, growing fast, and building great software alongside great humans. This is a role for someone with a solid technical foundation who knows how they learn, takes real ownership of their work, and is ready to make an impact from day one.
How we’re using AI today
Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers.
This is a remote opportunity within Canada and the US.
What we're looking for:
- You have 2–4 years of professional software development experience with some knowledge of .NET/C# and exposure to MongoDB or a comparable document database
- You know how you learn, and you learn quickly: you're comfortable picking up new concepts, technologies, and codebases, and you don't need everything handed to you before you can get started
- You take real ownership of your assigned work: you follow through, flag problems early, and hold a high bar for what "done" means
- You write clean, well-tested, well-documented code and you understand why those things matter in a production environment
- You're a strong collaborator: you communicate clearly, ask good questions, and work well with teammates across engineering, product, and design
- You're curious about how agentic AI tools fit into your own development workflow and you use them thoughtfully
- You're proactive by nature: you look for opportunities to improve the codebase or the team's processes and you surface them, even when you haven't been asked
Bonus points for:
- Comfort across a wide range of technical stacks (.NET/C#, MongoDB, Go, Rust, TypeScript, React, and others); you evaluate technology on its merits for the problem at hand, not personal preference, and you pick up new languages quickly
What you can expect:
- Deliver features and improvements on the SaaS Manager platform
- Take end-to-end ownership of well-defined features from initial development through production
- Participate actively in code reviews, giving and receiving thoughtful feedback, and use both as opportunities to grow your technical judgment
- Write meaningful tests and clear documentation as part of your regular workflow, not as an afterthought
- Collaborate with product managers and designers to understand the customer problems behind your work and advocate for good outcomes within your scope
- Surface blockers and open questions early, keeping yourself and your teammates unblocked and the work moving forward
USA-based roles only: The annual base salary for this role is between $123,000 USD and $172,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
Canada-based roles only: The annual base salary for this role is between $111,000 CAD and $155,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.
This posting is for an existing vacancy.
Our culture
At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first.
You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results.
How we work with AI
We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password.
This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others.
Our approach to remote work
We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events.
What we offer
We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer:
Health and wellbeing
👶 Maternity and parental leave top-up programs
🩺 Competitive health benefits
🏝 Generous PTO policy
Growth and future
📈 RSU program for most employees
💸 Retirement matching program
🔑 Free 1Password account
Community
🤝 Paid volunteer days
🏆 Peer-to-peer recognition through Bonusly
🌎 Remote-first work environment
*Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting.
You belong here.
1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.
Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs.
Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you.
Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law.
1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.
УдалённоseniorSeattle, Washington; United States (Remote)
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Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
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ГибридNew York, NY (HQ); San Francisco, CA; Relocation expense coverage to NYC or SF (if needed)
УдалённоRemote, United States; The candidate must reside in the Northeast part of the United States; The team is distributed and collaborates asynchronously across time zones using GitLab and our handbook-first practices to share knowledge, reusable examples, and best practices