Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Opportunity
We are looking for a Staff Mobile Security Engineer to join our Mobile Security team, where you will play a key role in identifying and mitigating security vulnerabilities across OKX's mobile applications and platforms. This is a high-ownership role at the intersection of offensive security, mobile engineering, and platform protection — you will work closely with development, operations, and compliance teams to ensure security is embedded at every layer of our mobile stack.
You bring deep expertise in mobile application security, offensive techniques, and secure coding practices. You are also fluent in AI-assisted development and bring the discipline to build, maintain, and continuously improve your own AI engineering workflows.
What You'll Be Doing
Identify and address security vulnerabilities in mobile code, systems, and networks through manual review, automated tooling, and threat modelling.
Manage and optimise application security tools, processes, and alerts to maintain a strong security posture.
Validate and respond to Bug Bounty submissions, triaging findings and coordinating remediation with engineering teams.
Produce detailed security findings reports and present them to both technical and management audiences, contributing to real-world attack prevention.
Collaborate with development teams to implement and champion secure coding practices across iOS and Android platforms.
Apply AI tools to accelerate security research, automate vulnerability detection workflows, and improve the efficiency of threat analysis.
Work alongside operations and compliance teams to ensure security is a consistent priority across the organisation.
Participate in incident response and management activities.
Stay current on the latest offensive security techniques, application security threats, and industry best practices.
What We Look For In You
5+ years of experience in mobile application security or offensive security, with hands-on expertise in iOS and/or Android platforms.
In-depth understanding of security risks, vulnerabilities, and concepts in mobile and web applications.
Proficient in code review across Kotlin, Swift, TypeScript, or JavaScript, with a strong grasp of application security threats.
Able to create proof-of-concepts (PoCs) to demonstrate vulnerabilities, review patch code for adherence to standards, and collaborate with repository owners on remediation.
Actively uses AI tools in your security engineering workflow — including building AI-leveraged workflows and codifying repeatable agent skills so tools like Claude Code or Codex deliver reliably on real production work.
Strong analytical and problem-solving abilities with excellent verbal and written communication skills.
Nice-To-Haves
Prior experience developing mobile security SDKs at scale — products with a daily active user base of over ten million.
Experience in large-scale business risk control projects, or practical experience in threat intelligence, business risk prevention, and countermeasures against black and grey industries.
In-depth reverse engineering of major apps from first-tier vendors, or other projects that demonstrate strong reverse engineering capabilities.
Proficiency in ARM assembly, with the ability to implement deep-level countermeasures at the native and application layers.
Experience with device fingerprint recognition — including simulating new devices through methods such as flashing, modification, and application cloning.
Ability to work across multiple mobile platforms simultaneously.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
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OKX
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If in doubt, please apply directly through our official careers website.
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Location: Los Angeles
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
ElevenProductions is the premium audio services arm of ElevenLabs that uses human-in-the-loop production workflows to deliver high-quality localization, audiobooks, custom voices, advertising creative, and more to customers across media, broadcasting, publishing, and gaming. ElevenProductions is powered by a network of 500+ professionals across 15 language teams that combine industry expertise with a deep knowledge of AI tools.
We are looking for Enterprise Account Executives to drive ElevenProductions growth across North America. You will work closely with Hollywood studios, TV networks, Big 5 book publishers, AAA gaming studios, and more to expand our service provider footprint and bring real-world use cases of ElevenLabs technology to life.
IN THIS ROLE YOU WILL:
1. Build and manage a growing portfolio of new accounts across Media & Entertainment, publishing, and other industries adopting services powered by AI audio at scale.
2. Develop and execute strategies to expand ElevenLabs’ service provider footprint presence within key accounts
3. Partner closely with customer success and solutions engineering to ensure smooth onboarding and expansion of accounts.
4. Serve as a trusted advisor to customers in how they adopt and deploy ElevenLabs technology at scale
REQUIREMENTS
1. 7+ years of quota‑carrying technology sales experience, ideally in Media & Entertainment
2. Deep understanding of and interest in the service provider approach – this is not about tools and automation, but about deep partnerships with customers that rely on us as an end-to-end service provider for professional-grade work
3. Comfort building exec-level relationships
4. Bonus points for:
1. Experience selling localization services to large Media & Entertainment customers
2. Experience bringing real-world use of AI audio technology to life in movies, TV, or or other broadcast media
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: United States & Canada
Workplace: Remote
About WorkOS 🚀
WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations.
We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid.
As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.
About the role:
WorkOS is growing rapidly, and our largest customers are growing with us. We're looking for an Account Manager to own the expansion of our most complex accounts — deepening product adoption, uncovering new use cases, and turning strong technical relationships into meaningful revenue growth.
This is a commercial role with a technical center of gravity. You'll build trusted relationships with engineering and product leaders, understand their roadmaps well enough to see where WorkOS should show up next, and drive the renewals, upsells, and multi-product expansion that follow. You'll also be a critical feedback loop into product — the expansion opportunities you can't close today become the roadmap that unlocks them tomorrow.
Responsibilities
- Own a book of strategic accounts end to end: retention, renewal, and expansion targets
- Build and execute account growth plans — map the org, identify unadopted products and untapped teams, and drive a clear path to increased usage and spend
- Proactively surface expansion opportunities by understanding each customer's product roadmap, technical architecture, and growth plans
- Lead commercial conversations independently, from initial opportunity through pricing, negotiation, and close
- Drive adoption of the full WorkOS platform — SSO, Directory Sync, AuthKit, Audit Logs, and beyond — across new teams, new products, and new geographies
- Partner with Sales, Support, and Engineering to remove technical blockers standing between a customer and their next stage of growth
- Run executive business reviews that connect WorkOS usage to customer outcomes and set up the next expansion conversation
- Forecast accurately and maintain pipeline hygiene across your accounts
- Feed structured expansion signal back to Product — what customers are asking for, what's blocking adoption, and what would unlock the next tier of spend
- Help build the playbooks, content, and processes that make this motion repeatable as the team scales
Qualifications
- 5+ years in account management, customer success, or sales at an enterprise level, with a track record of growing existing accounts
- Demonstrated ownership of expansion, upsell, or net revenue retention targets
- Strong product sense and genuine energy for solving hard technical customer problems
- Ability to lead complex integration and architecture conversations in a consultative, proactive way
- Familiarity with APIs and the ability to explain API concepts to our largest and most technical customers
- Familiarity with SQL — comfortable writing basic queries and modifying more complex ones to find adoption and usage signal on your own
- Comfort navigating multi-threaded relationships, from individual developers to VPs and executive buyers
- Strong written and verbal communication skills
- Commercial instincts: you can spot an opportunity, build the business case, and ask for the deal
- Operations-savvy mindset — you remove process friction and build things that scale
- Strong organizational skills and a self-starting mindset
Benefits and Perks (US Only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
- 401k matching
- Competitive Equity
- Healthcare, dental and vision coverage
- FSA, ST/LT Disability, Voluntary Life
- Carrot fertility benefits
- 20 days paid vacation + 10 holidays + unlimited sick leave
- 12 weeks fully paid parental leave
- Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active
- Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being
- Commuter benefits for hybrid employees in SF/NYC
- Unlimited token usage!
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: United Kingdom
Workplace: Remote
Coder is looking for a Senior Sales Development Representative (SDR) to fuel our growth by generating qualified pipeline for our Enterprise Account Managers. You’ll help bring Coder’s Environment-as-a-Service platform to some of the world’s largest companies that are adopting AI-driven development at scale.
This role is all about creating opportunities: finding and engaging the right prospects, uncovering the pain points Coder can help with, and setting up qualification calls that set our EAMs up for success. You’ll play a critical role in driving Coder’s outbound motion and helping large organizations build software faster, more securely, and at scale through the collaboration of AI coding agents and human developers.
What you’ll do here
- Generate qualified opportunities for EAMs through targeted outbound prospecting
- Conduct multi-channel outreach across phone, email, and LinkedIn using tools like SalesLoft, Sales Navigator, ZoomInfo, 6sense, and Nooks
- Research target accounts and key personas to craft personalized and value-driven messaging
- Set up qualification calls for EAMs to run and advance through the sales cycle
- Work closely with EAMs to strategize account outreach and hand off qualified opportunities seamlessly
- Maintain accurate activity and lead data in CRM and engagement platforms
- Collaborate with marketing to align messaging and campaigns to drive higher response rates
- Stay sharp on developer tooling, platform engineering, and AI-driven development trends to speak credibly with prospects
What we’re looking for
- 1-3 years in outbound SDR or BDR roles within SaaS or developer-focused technology companies
- Proven ability to generate pipeline through outbound cold calling, emailing, and social selling
- Experience with SalesLoft, LinkedIn Sales Navigator, ZoomInfo, 6sense, and similar prospecting tools
- Strong written and verbal communication skills; able to clearly articulate technical value propositions
- Grit, curiosity, and the ability to handle rejection while maintaining a positive, proactive mindset
- Highly organized and self-motivated with a focus on measurable goals and continuous improvement
- Eagerness to learn about developer tools, DevOps, platform engineering, and AI workflows
Bonus tacos if you have
- (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!)
- Prior experience selling into engineering or DevOps personas
- Familiarity with AI and GenAI developer tools
- Knowledge of open source ecosystems or cloud-native technologies
- Experience collaborating closely with Account Executives in an enterprise sales motion
ABOUT CODER
Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com.
INTERVIEW PROCESS
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI USE DURING THE INTERVIEW PROCESS
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Not permitted: Using AI assistance during conversational interviews.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
OUR USE OF AI IN HIRING
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
- Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first.
- Granola takes notes during our interview calls so our team can focus on the conversation with you.
All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.
CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
Location: Remote - US
About Backblaze
Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we're helping customers break free from the restrictive, overpriced legacy solutions that hold them back and blaze forward with the full power of the open cloud in their hands.
Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $125M in revenue and is the leading specialized storage cloud, managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals.
Role Overview
Backblaze is seeking a Director, Enterprise Systems & Architecture to own the technical vision, architecture, and operations of the company’s enterprise systems and emerging AI use cases. This is a senior leadership role with organization-wide scope — spanning commercial and financial systems, GTM technology, data architecture, and the deployment and governance of AI agents across the business.
This leader will serve as the company’s architectural authority for enterprise platforms including Salesforce, NetSuite, Zendesk, Snowflake, and their surrounding integration ecosystem. Equally important, they will support the governed infrastructure layer that enables AI agents, automated workflows, and headless capabilities to operate safely at a public company. They will partner closely with the CRO, CISO, and CFO organizations to enable velocity while ensuring systems are compliant, auditable, and built to scale.
The ideal candidate combines deep enterprise architecture expertise with hands-on platform engineering instincts and practical experience deploying AI agents in production environments. This is a build-and-operate role, not a purely advisory one. The Director will directly manage the Salesforce administration team and the NetSuite techno-functional team, and will grow a broader platform capability over time.
Key Responsibilities
Enterprise Architecture Strategy
Define and maintain the enterprise systems architecture roadmap across the commercial, financial, and GTM technology stack, including Salesforce, NetSuite, Zendesk, Snowflake, and related platforms.
Own and maintain formal architecture documentation including system topology maps, data flow diagrams, integration inventories, and architecture decision records (ADRs).
Establish and enforce architectural governance standards and review processes for all material system changes across the enterprise.
Define reference architectures and design patterns for integrations, data exchange, platform extensibility, and AI agent workloads.
Lead build vs. buy evaluations and establish platform selection criteria — including for AI tooling, agent orchestration frameworks, and LLMOps infrastructure — aligned with long-term architectural goals.
Ensure systems architecture supports scalability, data integrity, security, and operational efficiency in a public-company environment.
Systems Architecture & Integration Design
Serve as the lead architect for the design and implementation of integrations across Salesforce, NetSuite, Zendesk, Snowflake, Orb, and other enterprise platforms.
Establish and enforce design standards, data contracts, and integration governance across all enterprise systems.
Own the enterprise architecture review board, evaluating proposed system changes for scalability, compliance, security, and alignment with long-term design goals.
Define integration patterns (event-driven, API-first, middleware) and ensure consistent application across the technology ecosystem.
Partner with the Data Engineering team to ensure data pipelines, data models, and platform integrations reflect sound architectural principles and support reliable analytical and operational outcomes.
Lead evaluation and selection of new technologies, including iPaaS and middleware platforms, ensuring alignment with the broader architecture.
Architecture Governance & Advisory
Serve as the company's technical authority on enterprise systems design questions, providing architectural guidance to Revenue Operations, Finance, and Data Engineering leadership.
Lead architecture review sessions and provide formal design approval for major system initiatives and platform changes.
Produce and maintain architectural roadmaps, standards documentation, and technical decision frameworks that guide delivery teams and stakeholders.
Translate complex business requirements into scalable, future-proof architectural solutions, ensuring alignment between business priorities and technical design decisions.
Establish strong feedback loops with business teams to ensure the architecture evolves alongside organizational needs.
Mature the infrastructure that governs AI agent workflows — ensuring all agents and automated systems operate through governed identity, API gateway, secrets management, logging, and reconciliation layers.
Maintain and enforce change management standards for workflow deployments, prompt changes, and policy updates — including GitHub-backed version control and CI/CD deployment gates.
Ensure AI agent operations comply with SOX IT General Controls, data privacy requirements (GDPR/CCPA), and internal data governance standards.
Build and maintain observability infrastructure in partnership with the security team for agent operations, including real-time dashboards, alerting on anomalous behavior, and audit trail evidence for SOX and compliance purposes.
Team Leadership & Vendor Governance
Lead and develop a team of Business Systems administrators, contractors, providing mentorship and clear career development direction.
Establish best practices for systems lifecycle management, change management, and project delivery.
Manage vendor and contractor relationships, ensuring external resources operate within defined architectural standards and governance frameworks.
Champion a culture of technical rigor, documentation discipline, and continuous improvement across the team.
Qualifications
Required
10+ years of experience in Enterprise Architecture, Business Systems, or Platform Engineering roles, with demonstrated ownership of multi-system environments at a public or compliance-regulated company.
Proven experience deploying, monitoring, and governing AI agents or LLM-powered workflows in production, including prompt versioning, agent identity management, and audit logging.
Deep experience architecting and governing Salesforce CRM environments at scale, including data model design, integration patterns, and access controls.
Strong working knowledge of NetSuite and Snowflake from both an architectural and operational perspective.
Experience building and operating API gateway, secrets management, and identity-based access control infrastructure in support of automated workflows or agent systems.
Solid understanding of SOX IT General Controls and application controls, with experience producing control evidence in a public company environment within the last 3 years.
Proven track record managing multi-functional business systems or platform teams, including direct management of admins and techno-functional resources.
Experience designing integration architectures using event-driven, API-first, or middleware patterns.
Strong communication and stakeholder management skills with the ability to engage credibly across technical teams, senior business leaders, and external auditors.
Experience with workflow versioning, GitOps patterns, and CI/CD pipelines for business systems deployments.
Preferred
Proficiency with architecture and security frameworks to enable the responsible usage of AI
Hands-on experience with iPaaS or middleware platforms (e.g., Fivetran, Polytomic, MuleSoft, Boomi, Celigo) at a design and governance level.
Experience developing master data management (MDM) strategy and data governance frameworks.
Experience managing analytics architecture and BI platforms such as Tableau.
Salesforce and NetSuite certifications.
Experience working in public or large enterprise technology environments with compliance and audit requirements.
What We Offer
Competitive compensation and equity package
Full benefits including medical, dental, vision, and 401(k) with matching
RSU grants for full-time employees
ESPP program
Flexible vacation policy
Maternity & paternity leave
MacBook to use for work, plus a generous stipend to personalize your workstation
Childcare bonus (human children only)
Fertility treatment and support
Learning & development program
Commuter benefits
A collaborative and transparent culture that supports a healthy work-life balance
Pay Transparency
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. Final offer amounts are determined by multiple factors including candidate location, skills, depth of work experience, and relevant licenses/credentials.
The expected salary range for this role is
$190,000 - $220,000.
At Backblaze, we value being fair and good to our customers, partners, and employees. Diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We are proud to be an Equal Opportunity Employer.
Location: San Francisco; London
We are hiring builders to define how people talk to, show things to, and hear from AI
In 2026, we launched Computer, the defining product for the new era of agentic AI. We've scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.
The Multimodal team builds the experiences and infrastructure that move AI interaction beyond touch and text — realtime voice, vision, and the platform systems behind them. We own the full path from a user speaking into a device to an answer coming back: the realtime session infrastructure that connects clients to frontier audio models, the backend orchestration that routes, records, and supervises live sessions, and the SDK that powers voice and multimodal experiences across Perplexity's apps.
As a backend engineer on Multimodal, you will design and scale the distributed systems that carry live voice sessions in production — and drive entirely new products at the intersection of voice, vision, and agents.
WHY PERPLEXITY IS DIFFERENT
- Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
- Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
WHAT YOU'LL DO
- Design, build, and scale the backend session-worker architecture that powers realtime voice: durable per-session workers, provider routing, and stateful streaming over gRPC.
- Own distributed-systems problems end-to-end — session lifecycle, crash recovery, reconnection and replay, multi-region deployment, and graceful degradation under real production load.
- Build provider-agnostic streaming protocols from our backend to the Rust SDK that powers voice across every client stack.
- Drive new products and initiatives in voice and multimodal AI from problem definition through technical design, implementation, and launch.
- Build the orchestration layer that lets live voice models delegate work to tools, agents, and long-running tasks — safely, asynchronously, and at scale.
- Partner closely with SDK, client, infrastructure, and model teams; work across the stack when the product demands it, from backend services to client-facing APIs.
WHAT WE'RE LOOKING FOR
- 4+ years of professional software engineering experience building backend or distributed systems.
- Strong experience in Rust, Python, or Go (we work primarily in Rust and Python).
- Experience designing and operating production distributed systems: streaming RPC (gRPC or similar), stateful services, message-driven architectures, and failure recovery.
- Solid understanding of cloud infrastructure — deploying, scaling, and operating services on AWS or equivalent.
- Strong product judgment and the ability to translate user problems into simple, effective technical solutions.
- Genuine interest and adoption of AI products and willingness to learn quickly.
NICE TO HAVE
- Experience with realtime media systems: voice, audio streaming, WebRTC, or low-latency transport.
- Full-stack range — comfort building end-to-end, from backend services through client SDKs or web frontends.
- Experience integrating LLMs, speech models, or computer vision into production systems.
- Experience with agent frameworks, tool-calling architectures, or sandboxed execution environments.
- Time spent at a fast-growing startup or on a high-ownership engineering team.
OUR MISSION
Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
Location: San Francisco
Perplexity is seeking energetic researchers and engineers to join our Secure Intelligence Institute (SII), Perplexity's flagship research center for advancing security, privacy, and trust in frontier intelligence. SII’s goals are to advance frontier AI security research, translate those advances into concrete improvements in Perplexity's systems, and share knowledge and resources that strengthen the broader AI ecosystem.
As a member of SII, you'll conduct original and impactful research on improving the security and privacy of frontier intelligence systems. Your goal will be to conduct research that is not only rigorous in theory, but practical enough to improve the systems people rely on every day. This work will be informed by the realities of operating general-purpose AI systems used by millions of people and thousands of enterprises, and you'll be expected to translate both your own research and advances from the broader community to practical improvements that protect and defend Perplexity's users.
RESPONSIBILITIES
- Develop threat models for emerging attack surfaces in AI-native products, including browser, search, and autonomous agents.
- Identify and analyze security and privacy threats across AI systems, infrastructure, and user-facing products.
- Develop novel defenses, mitigations, and detection mechanisms for security and privacy in AI-native products.
- Build security evaluation frameworks, benchmarks, and datasets to measure the effectiveness of different defense mechanisms.
- Partner with Perplexity’s Security Engineering team to translate state of the art research into shipped security features and hardened system architectures.
- Collaborate with top-tier academic and industry researchers in SII's external research network.
- Publish findings at premier venues and contribute to the broader security research community.
QUALIFICATIONS
- Hold a PhD (or equivalent research experience) in Computer Science, Computer Engineering, or a related field, with a primary focus on security and/or privacy.
- Experience publishing at top security conferences (IEEE S&P, USENIX Security, ACM CCS, NDSS) demonstrating original, impactful research contributions.
- Deep expertise in one or more of: security of agentic systems, systems security, web and applications security, program analysis, and software security.
- Proficiency in Python (bonus points for TypeScript, Go, and/or Rust).
- Ability to operate with high independence, willing to dive in and take ownership, and comfortable in a fast-paced environment where research directly informs product.
- Clear and concise communcation, translating complex attack narratives into actionable insights for engineering and leadership.
Location: San Francisco; Seattle; New York City; Toronto
PERPLEXITY API PLATFORM
Perplexity innovates at the frontier of AI infrastructure, search, and orchestration to serve the world's most discerning users. The Perplexity API Platform brings our technology to the world's most discerning developers. From exabyte-scale knowledge indexes to codegen-first agent runtimes, the building blocks behind Perplexity's applications are some of the most battle-tested AI systems in the industry.
We believe these same building blocks can and should power the aspirations of builders everywhere. It's one thing to solve planet-scale retrieval, long-horizon orchestration, and other foundational AI challenges within a single product ecosystem. The true measure of success is to turn those solutions into elegant APIs that delight developers and agents alike. Our API Platform delivers frontier intelligence to thousands of customers: startups, trillion-dollar enterprises, U.S. and allied governments, and everyone in between.
We've achieved incredible scale, yet we're just getting started. Join us to build tools for curious minds.
ABOUT THIS ROLE
Perplexity is seeking strong engineers with a passion for delivering frontier intelligence and infrastructure to developers. Our company builds technology that reshapes how people search, reason, and interact with the world around them. Week after week, we observe increasing demand for programmatic interfaces to that technology. The API Platform engineering team is charged with designing, implementing, and scaling these interfaces.
As a member of our team, you'll work on an eclectic portfolio spanning distributed systems, performance optimization, agent orchestration, and frontier topics that often change with each passing month. Throughout this work, you'll prioritize great developer and agent experience alike. You'll also define technical strategy for how we scale to meet compounding growth exponentials (number of customers, agents per customer, compute/retrieval per agent, etc.).
KEY RESPONSIBILITIES
- Design, build, and operate mission-critical APIs that provide our customers the building blocks for frontier intelligence.
- Own and evolve the API gateway and routing layer: authentication, authorization, rate limiting and quotas, usage metering, and request routing across heterogeneous upstream services.
- Build the paved road for API services: standardized service scaffolding, container builds, CI/CD, Kubernetes and Helm deployment, and progressive rollouts with fast rollback, so a new API product goes from idea to production in days, not weeks.
- Build API governance into the platform: contract-first schemas, breaking-change detection in CI, versioning and deprecation workflows, and SDKs and documentation generated from a single source of truth.
- Unify cross-cutting capabilities (billing and usage, rate limiting, organization and identity settings, analytics and observability) so every API product gets them by default instead of rebuilding them.
- Ensure low latency and high throughput through aggressive performance optimization (including on upstream systems).
- Harden system security and reliability across heterogeneous compute environments, and operate what you build: SLOs, on-call, and incident response.
- Collaborate across teams to bring novel frontier capabilities into the API Platform, and partner with infrastructure teams on compute, networking, secrets, and security.
- Continually reimagine the customer needs of tomorrow (and the architectures to serve those needs), while faithfully serving the customer workloads of today.
- Uphold engineering excellence through design reviews, code quality, and internal documentation.
QUALIFICATIONS
- 5+ years of backend engineering experience with Python, Go, or Rust, including significant time building platforms or infrastructure used by other engineering teams.
- Strong understanding of high-traffic API design: schema evolution & versioning, idempotency, authentication patterns, rate limiting, and performance tuning.
- Hands-on experience building and operating API gateways, reverse proxies, or routing layers: authentication and authorization, rate limiting and quotas, request routing, traffic shaping, and per-request observability.
- Experience building API governance tooling: contract-first API design, breaking-change detection and API linting in CI, versioning and deprecation workflows, and SDKs and documentation generated from the contract.
- Platform depth across the build and deploy path: you have owned CI/CD pipelines, container builds and base images, infrastructure as code, and progressive delivery (canary or blue-green) on a major cloud.
- A track record of owning a platform end to end: identifying the need, designing it, aligning the teams that depend on it, shipping it, and operating it, while raising the engineering bar for the teams building on it.
- Strong customer empathy and product sense, ensuring the APIs you build are ergonomic, well-documented, and easy to adopt for developers and agents alike.
Strong plus:
- Experience with modern AI APIs (including latency tuning, streaming, model orchestration, emerging technical standards).
- Usage-based billing and metering systems, multi-tenant organization and identity models, and usage analytics pipelines.
- Observability for API platforms: structured logging pipelines, metrics, tracing, and SLO tooling.
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
You will own product design for Vercel Marketplace and Vercel Connect, the products that help developers and agents discover, provision, and connect external services to their workloads running on Vercel. You will design both sides of the ecosystem: builders choosing and managing services, and partners creating and operating integrations across the Vercel dashboard, CLI, API-driven agent flows, v0, and partner tools.
Both products are live, with active customers and partners. You will improve current journeys while defining how integrations and agent access should work next.
You will report into Design and collaborate with a Product Manager and dedicated engineering team.
We’re considering candidates at both the Senior and Staff level and will calibrate level based on experience and demonstrated scope and impact.
If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team.
What you'll do
Own the builder and partner experiences across discovery, installation, billing, management, and removal, and shape what the team builds next with Product and Engineering.
Define how developers and agents discover, provision, configure, and use databases, services, and integrations across Marketplace and Connect.
Turn OAuth, permissions, environments, credentials, billing, and provider constraints into experiences that feel simple without hiding details that matter.
Build and test working prototypes independently, using coding agents to explore product behavior and technical constraints.
Work directly with customers and partners, using research, support signals, and product data to find opportunities, define success measures, and prove improvements through experiments.
Work through implementation with engineers and maintain quality through launch and iteration.
There is no mature design playbook here. Create the reusable patterns and structure Marketplace and Connect need, and adjust course as evidence arrives.
Take on foundational product problems, including provider dependencies and platform operations. Some high-impact work will be largely invisible to users.
What you need
Your portfolio makes your contribution, decisions, shipped outcomes, and impact after launch easy to understand.
You have independently owned ambiguous, technically complex product work from problem framing through launch and iteration.
You reason about systems while maintaining a high bar for interaction and visual craft.
You use qualitative and quantitative evidence, define success measures, and change direction when evidence challenges the hypothesis.
You make complex products feel clear and trustworthy, including edge cases, recovery, language, and accessibility.
You work directly with Product and Engineering, read APIs or code when useful, and explain tradeoffs clearly.
You independently use coding agents to prototype interactions, inspect implementation, and learn unfamiliar systems. Curiosity and agency with these tools are required.
Production engineering experience is not required. We care more about product judgment, craft, ownership, and how quickly you learn a technical system.
Bonus if you
Have designed a marketplace, integrations platform, partner ecosystem, or other multi-sided product.
Understand OAuth, permissions, secrets, billing, developer tooling, or infrastructure products.
Have shipped AI or agent experiences, especially workflows that move between human approval and autonomous action.
Have an engineering background or experience contributing production web code.
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 $172,000 - $258,000. 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: Chicago, Illinois
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
As a Senior High Touch CSM, you’ll partner with our largest and most complex customers to help them succeed in the new era of AI-driven customer service. You’ll work with C-suite leaders and their Support teams to guide them through their AI Agent transformation with Fin — from early project scoping and requirements gathering, to measurable adoption, to industry-best automation rates and business outcomes.
This role is an opportunity to shape how the world’s leading companies deploy AI to transform their support operations and achieve strategic outcomes aligned to their business goals.
What will I be doing?
Develop trusted advisor relationships with customers (from c-suite stakeholders to individual contributors).
Facilitate requirements gathering and process mapping for the customer’s standard operating procedures; document in clear, precise, and actionable terms.
Collaborate with engineers to translate customer requirements into Fin solution designs, guiding the customer on configuration best practices and prompt strategy.
Monitor Fin usage patterns to identify risks, recommend optimizations, and uncover expansion opportunities.
Maintain deep product knowledge of Fin’s fast-expanding capabilities; remain market aware of the fast evolving AI-agent industry.
Lead Success Plans, QBRs/EBRs, and strategic planning sessions with the customer.
Prioritize competing demands to drive the highest-value outcomes across your customer portfolio.
Be the Voice of the Customer internally, advocating for customers’ needs and shaping our solutions strategy.
What skills do I need?
5+ years of relevant work experience in a customer-facing customer success, account management or strategic consulting organization. SaaS or Consumption-based Technology companies experience a benefit.
Experience with business process mapping, requirements analysis, and solution design.
Strong technical acumen and passion for AI/agent-building (coding not required).
Ability to simplify and communicate complex problems clearly across audiences.
Strong prioritization skills to effectively manage a broad portfolio of customer accounts while delivering depth of impact.
Demonstrated success driving adoption, process improvement, and measurable outcomes for enterprise customers.
Self-motivated, adaptable, and curious team player with a high level of self-efficacy.
*Proof of eligibility to work in the United States is required.
The base salary range for candidates within the Greater Chicago Area is $135,270 - $161,575. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Chicago, Illinois; NYC, Remote; San Francisco, California
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
As a Strategic CSM, you’ll partner with our largest and most complex customers to help them succeed in the new era of AI-driven customer service. You’ll work with C-suite leaders and their Support teams to guide them through their AI Agent transformation with Fin — from early project scoping and requirements gathering, to measurable adoption, to industry-best automation rates and business outcomes.
This role is an opportunity to shape how the world’s leading companies deploy AI to transform their support operations and achieve strategic outcomes aligned to their business goals.
Responsibilities
Own the retention and health of a portfolio of high touch customers. Track leading indicators (Fin resolution rate, involvement, CSAT, adoption breadth, stakeholder engagement), flag risk early, and run mitigation plans to secure renewals in partnership with Account Management.
Drive measurable value realization by tying Fin’s performance to each customer’s business outcomes (cost savings, team capacity, customer experience), and make that ROI visible to executive sponsors at every stage of the relationship.
Build and prioritize an Automation Roadmap for each customer, balancing competing demands to deliver outcomes across your portfolio.
Develop trusted advisor relationships from the C-suite to individual contributors, and multi-thread accounts so success doesn’t depend on a single champion.
Lead requirements gathering and process mapping of customers’ standard operating procedures, and document them in clear, precise and actionable terms.
Partner with engineers to turn customer requirements into Fin solution designs, and guide customers on configuration best practices, knowledge strategy and prompt design.
Analyze Fin usage and performance data to find optimization opportunities, close resolution gaps and uncover expansion use cases.
Lead Success Plans, QBRs/EBRs and strategic planning sessions that align Fin’s roadmap with the customer’s goals.
Keep deep product knowledge of Fin’s fast-expanding capabilities and stay aware of where the AI-agent market is heading, so you can position Fin against alternatives.
Act as the Voice of the Customer internally, turning customer insights into product feedback and shaping our solutions strategy.
Mentor other CSMs and help shape the playbooks and best practices of a growing team.
What skills do I need?
8+ years of customer-facing experience in management consulting, strategy, advisory, or enterprise SaaS CSM roles.
Experience with business process mapping, requirements analysis, and solution design.
Strong technical acumen and passion for AI/agent-building (coding not required).
Ability to simplify and communicate complex problems clearly across audiences.
Strong prioritization skills to effectively manage a broad portfolio of customer accounts while delivering depth of impact.
Demonstrated success driving adoption, process improvement, and measurable outcomes for enterprise customers.
Self-motivated, adaptable, and curious team player with a high level of self-efficacy.
The OTE range for candidates within the New York or San Francisco Bay Area is $186,300 $207,000. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
The OTE range for candidates within the Greater Chicago Area is $167,670- $186,300. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Seattle, WA
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
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THE ROLE
Docker is seeking a Senior Principal Engineer to serve as the technical visionary and architect for our Central Operations and Systems organization — the foundational platform that powers "how Docker does Docker", which includes corporate systems, developer AI/SDLC, infrastructure, reliability, and internal systems. This is one of the most impactful individual contributor roles at Docker, responsible for defining and driving the technical strategy that enables Docker's transformation to an AI-first company and effectively enables Docker to be "Customer 0" of Docker. Your influence will impact the work of every Dockhand every day.
As Senior Principal Engineer, you will establish strategic technical plans that span the company systems/data architecture and the end-to-end employee experience, make critical architectural decisions that affect Docker's entire internal systems portfolio, and drive technical execution of cross-company initiatives that directly enable every Dockhand. You'll work at the technical intersection of AI, platform infrastructure, developer SDLC, corporate systems, and Docker products, ensuring all systems work together seamlessly to support Docker's most precious resources: our employees.
This role requires someone who combines deep technical expertise across multiple domains. Managing the breadth is both the exciting and challenging part of this role. You'll be recognized across Docker as the definitive expert on employee experience, consulted by executives on strategic technical decisions, and responsible for ensuring that every Dockhand has the right tools at the right time to do their day to day work.
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RESPONSIBILITIES
Technical Vision & Strategic Planning
- Define and own the multi-year technical vision for Docker's Central Operations and Systems group, encompassing internal AI, developer tools, infrastructure, reliability, and corporate systems.
- Establish strategic plans and objectives for major initiatives, making architectural decisions that ensure Docker's business objectives are met.
- Contribute to and drive the strategic vision in collaboration with engineering leadership, translating organizational strategy into technical roadmaps that span multiple teams and time horizons
- Identify and prioritize investments that provide maximum leverage—capabilities built once that enable rapid adoption and increase productivity across the employee base
- Develop architectural principles and standards that guide technical decisions across the Central Operations and Systems group and influence product engineering teams
- Anticipate future business needs and ensure platform architecture provides the flexibility to support Docker's evolving commercial models
Cross-Company Technical Leadership
- Lead technical vision and implementation for large cross-company programs that require coordination across all Docker teams
- Architect the Docker SDLC "Golden Path": how Dockhands build, manage and deploy systems and software, as applicable
- Drive convergence of fragmented systems across Docker—replacing product-specific implementations with shared platform capabilities
- Establish technical contracts between platform and product teams that enable independent velocity while ensuring consistency and reliability
- Lead architectural reviews for major initiatives across Docker, ensuring alignment with platform strategy and long-term maintainability
- Proactively identify and solve problems that impact critical areas of the business before they become blockers
Infrastructure & Developer Experience Architecture
- Define the infrastructure platform vision that removes infrastructure as a bottleneck to innovation—enabling teams to deploy experimental services in minutes, not weeks
- Architect standardized deployment patterns that encode best practices for security, scaling, monitoring, and reliability
- Design infrastructure that specifically supports AI and agent initiatives—rapid deployment, programmatic environment creation, consistent APIs
- Establish observability standards that provide distributed tracing, metrics, log aggregation, and error tracking out of the box for every service
- Drive cost optimization across platform infrastructure while maintaining performance and reliability standards
Technical Excellence & Influence
- Work with senior managers and directors across Docker organization to drive operations and strategy
- Mentor and develop Staff and Principal engineers, raising the technical bar across the organization
- Represent Docker's platform architecture and AI adoption externally through blog posts, conference talks, and technical community engagement
- Participate in executive-level discussions on technical strategy, providing architectural perspective on business decisions
- Drive build-vs-buy decisions for critical platform components, evaluating vendor solutions against Docker's specific requirements
- This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed.
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QUALIFICATIONS
REQUIRED
Technical Expertise
- 12+ years of software engineering experience with demonstrated expertise across multiple domains (SDLC, AI engineering, corporate systems, etc)
- Proven track record architecting and delivering large-scale distributed systems serving millions of users and thousands of enterprise customers
- Broad working knowledge across all platform domains with ability to make sound architectural decisions spanning multiple areas
- Expert-level understanding of API design, service architecture, and system integration patterns at scale, including in-house vs. vendor developed systems.
- Experience with cloud platforms (AWS, GCP, or Azure) and modern infrastructure patterns (Kubernetes, service mesh, infrastructure-as-code)
- Knowledge of enterprise security requirements, compliance frameworks (SOC 2, ISO 27001), and their architectural implications
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Strategic & Business Impact
- Track record of establishing strategic technical plans that directly enabled business outcomes (revenue growth, cost reduction, market expansion)
- Experience translating business strategy into technical architecture and roadmaps
- Demonstrated ability to identify and prioritize investments that provide maximum platform leverage
- Understanding of SaaS business models, enterprise sales cycles, and how platform capabilities influence commercial success
- Experience making build-vs-buy decisions for critical platform components
Leadership & Influence
- Proven ability to drive large cross-company technical programs requiring coordination across multiple engineering organizations
- Experience working with VPs and executives to set and execute technical strategy
- Track record of influencing technical direction without direct authority—building consensus across teams with different priorities
- Strong communication skills with ability to present to executives, influence leadership, and drive alignment at all levels
- Experience mentoring senior engineers and developing technical leadership
PREFERRED
- Experience at developer tools, infrastructure software, or B2B SaaS companies at significant scale
- Background with container technologies, Docker, Kubernetes, or developer productivity platforms
- Track record of successfully migrating legacy systems while maintaining business continuity
- Knowledge of Financial Operations and infrastructure cost optimization at scale
- Advanced degree in Computer Science, Engineering, or related technical field
- External recognition as a technical leader (conference speaking, publications, open source contributions)
KEY SUCCESS METRICS
Platform Leverage & Velocity
- Product teams can launch enterprise-ready features in <2 weeks (vs. 6+ months today) by leveraging platform capabilities
- Docker teams rapidly adopt new capabilities within 2 months of release (vs. 6+ months today)
Technical Excellence
- Platform systems achieve 99.9%+ uptime for business-critical workflows
- Infrastructure platform reduces deployment time for new services from 2-4 weeks to <1 day
Organizational Impact
- Recognized across Docker as the definitive technical authority on internal architecture
- Successfully drive convergence of fragmented systems, reducing technical debt and operational burden
- Develop multiple Staff and Principal engineers who can own major platform domains
Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs.
_______________________________________________________________________
COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
United States: $219K – $352K base
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
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PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: San Francisco, CA | New York City, NY
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
Anthropic's RL Data Platform team builds the systems that produce, move, and serve the human data Claude learns from: the interfaces humans use to give feedback, the pipelines that turn raw feedback into training signal, and the tooling researchers use to launch, monitor, and inspect data collection. Every RL run depends on a steady supply of high-quality data - human feedback, expert demonstrations, graded transcripts - and when a researcher has an idea for new data on Monday, our job is to make it collectable by Wednesday and in the training mix by Friday.
This is a full-stack, ownership-heavy role on a small, senior team. You'll design and ship web interfaces used by thousands of expert annotators, build the backend services and data pipelines behind them, and work directly with RL researchers to understand what data they need and why. You'll scope your own projects, make architectural calls, and see them through to production. We're looking for engineers who treat researchers as their users, build for reliability first, and care as much about the shape of the data leaving the system as the UI going into it.
Key responsibilities
Design, build, and operate the feedback and data collection interfaces used by human annotators, domain experts, and internal researchers.
Build and maintain the backend services, APIs, and pipelines that route model samples to humans and return structured feedback to training.
Own the reliability, latency, and usability of systems that run continuously against live model endpoints.
Partner with RL researchers to translate loosely specified data needs into well-scoped collection campaigns and the tooling to run them.
Build dashboards, monitoring, and inspection tools so researchers can see data quality and throughput without asking an engineer.
Identify and remove the bottlenecks between "we want this data" and "it's in the training mix".
Minimum qualifications
Strong full-stack engineering skills, with production experience in TypeScript/React on the frontend and Python on the backend.
Experience designing and operating backend services and data pipelines that other teams depend on.
A track record of owning projects end-to-end, from an ambiguous brief to something in production that people use.
Comfort working directly with technical stakeholders whose needs change week to week, and the judgment to push back when something isn't worth building.
Effective use of AI tools in your own day-to-day work.
Care about the societal impacts of your work.
Preferred qualifications
Experience building annotation, labelling, evaluation, or other human-in-the-loop data tooling.
Experience with RLHF, preference data, or other human-feedback pipelines for ML systems.
Experience shipping researcher-facing or other expert-facing internal tools people love: interviewing users, hunting down friction, measurably improving the experience.
Experience running experiments on data collection interfaces and using the results to improve data quality.
Experience working with crowdworker or expert vendor platforms at scale.
Familiarity with how LLMs are trained and evaluated.
Representative projects
Build an interface that lets a domain expert review a long agentic transcript, flag the step where things went wrong, and write a corrected continuation - with the result landing in a training-ready format.
Rework the sampling path between our feedback interfaces and model endpoints to cut time-to-first-sample for annotators.
Build a campaign launcher that lets a researcher stand up a new data collection effort (task, rubric, population, quality checks) without writing code.
Instrument annotator behaviour to detect low-effort or adversarial work and surface it to the quality team automatically.
Design the data model for a kind of feedback we haven't collected before, and ship the pipeline that gets it into the training mix.
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:
$500,000
—
$850,000 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.
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: Anywhere in France, Belgium, Spain; Toronto, ON, Canada
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
🐼 WHO WE ARE
You. Better. With Alan.
Alan's vision is to make prevention the new norm of care for all. Our mission is to help people live in good health to 100 while helping employers feel proud, turning health benefits from a cost center into their most valuable investment.
We're building a vertically integrated health partner that seamlessly unites insurance and smart healthcare delivery into one system.
By connecting all aspects of care - private, public, and direct to consumer - we create the most member-centric healthcare experience. Through deep engagement, we empower everyone to overcome day-to-day health obstacles and live healthier lives.
We partner with 35K+ companies of all sizes, serving more than 1M+ members, and have reached 770M+ in ARR.
Our team of 700 people (still growing) operates across France 🇫🇷, Spain 🇪🇸, Belgium 🇧🇪, and Canada 🇨🇦.
🚀 WHAT YOU'LL BUILD AND WHO YOU'LL WORK WITH
You would join the team in charge of building smart products offering the most delightful and scalable Customer Service to 1M+ members.
We have developed a team of AI agents that brings immediate and personalized answers to about 50% of member's questions.
And when it is not enough, we seamlessly transfer the question to our care experts team. We build the cockpit for that handoff and the tooling for the humans who take over. It lets a care expert steer, correct, and supercharge the AI: routing requests, surfacing the right context at the right moment and drafting replies. The expert stays in command; the AI does the heavy lifting.
⚡ WHY THIS ROLE IS SPECIAL
- Direct Impact: Your decisions affect Alan’s scaling, growth, profitability and ability to provide delightful experience to members when they need it the most.
- Human + AI, done right: You won't build AI that replaces people. You'll build the control surface that lets human experts drive the AI - the tools that decide what happens when the AI alone isn't enough.
- Ownership & Growth: Influence product direction, mentor other engineers, and lead technical initiatives that shape the future of healthcare access.
🔍 WHAT WE'RE LOOKING FOR
Technical Requirements:
- 5+ years building scalable software systems
- Full-stack experience (backend and frontend)
What we value:
- You love turning complex problems into elegant solutions
- You care about the "why" behind what you build, not just the "how"
- Humble and still willing to grow (no matter your seniority)
Mission Alignment:
- Healthcare technology excites you
- You understand that insurance isn't just about money - it's about access to care
But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus.
⭐ THE ENGINEERING TEAM ⭐
In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves!
Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of product interaction.
We move fast, with a lot of ownership, and are proud to tackle big problems!
Our process is very simple: those who make product decisions are the same ones who build them.
Our stack is React, Python/Flask, PostgreSQL in a monorepo. If you are not familiar with this stack but are a keen learner, it is totally fine. We deploy daily and believe in distributed ownership - you build it, you own it.
Want to know more? Read this article https://blog.alan.com/tech-et-produit/engineering-organisation-at-alan if you want to discover how life as an Engineer at Alan and this article https://medium.com/alan/engineering-career-path-at-alan-e5de5c2e740c on our Engineering career path.
To see all our opened Engineering positions, click here https://jobs.ashbyhq.com/alan?departmentId=8ba0fb44-ec79-4731-bf45-d65a821e24f0 !
🌍 HOW WE WORK
Location: You must be legally eligible to work in France, Belgium, Spain or Canada (Toronto only)
Remote work: We offer remote work flexibility, but we value in-person collaboration.
Check here https://alan.com/en/careers/a/everyday-life for more information about our everyday life!
🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES.
If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success.
If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements?
Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application!
🔖 Check out our About Alan and Career pages, as well as our Medium, blog and Glassdoor pages for more info.
YOU WANT TO KNOW MORE ABOUT ALAN?
- 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
- 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work
🔄 A quick note about the process
Note: While you're applying for a specific area, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/alaninsurance/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?source=copy_link.
Location: London; United Kingdom
Workplace: Remote
Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A.
We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier.
If you want to do the best work of your career, this is the right place.
ABOUT THE ROLE
Our Engineering team tackles the toughest challenges, so our users never have to. Real-time infrastructure, AI-native architecture, and a frontend that feels effortless - all powered by a team that moves fast, thinks rigorously, and holds an exceptionally high bar for quality.
We're looking for Platform Engineers who treat the platform as a product, with every engineer at Attio as its customer. You'll own the infrastructure, tooling and pipelines that let the rest of engineering ship quickly and safely, and you'll be accountable for keeping all of it reliable, fast and cost-effective as we scale.
WHAT YOU'LL DO
- Build and evolve our platform infrastructure as code (Terraform, Kubernetes, GCP), so every environment is reproducible, version-controlled and auditable.
- Own our CI/CD pipelines end-to-end, making builds, tests and deploys fast, reliable and secure for every engineer at Attio.
- Own our observability stack - metrics, logging and distributed tracing - as the foundation of an exceptional reliability culture.
- Define and hold SLOs for latency, availability and error rates, and manage capacity to stay comfortably inside them.
- Lead incident response: triage and resolve complex production issues, then run blameless post-mortems and ship the fixes as code.
- Partner with product engineering teams to remove manual toil and shorten the path from writing code to running it in production.
WHAT YOU'LL BRING
- Hands-on experience operating production systems with an SRE mindset: SLOs, error budgets, toil reduction and blameless post-mortems.
- Excellent knowledge of modern cloud architectures (either GCP or AWS), including networking, IAM and managed services.
- Demonstrable deep expertise with Docker and Kubernetes at scale, covering cluster design, networking, storage and security.
- Proficiency in a modern language such as Typescript, Go, Python or Rust, and a track record of writing well-tested automation.
- Experience owning mission-critical operational tooling, including centralised logging or APM (e.g. Datadog, Splunk).
- Ability to communicate technical ideas to the wider team and influence how other engineers build and operate their services.
WHAT WE OFFER
- Competitive salary of £105,000 to £125,000
- Equity in an early-stage tech company on an incredible trajectory
- 25 days holiday plus local public holidays
- Apple hardware
- Private medical insurance through AXA
- Pension contribution through Hargreaves Lansdown
- Enhanced family leave
- Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far)
Location: Aarhus Office
The engineering team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're a global organisation that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimises data labelling pipelines, and creates predictive models that identify illicit patterns before they escalate.
Our data and solutions have been used to solve some of the world's most high-profile criminal cases and grow consumer access to cryptocurrency safely. Now, by pairing the industry's most trusted blockchain data with agents that reason, investigate, and act, we help our customers scale their workflows as the cryptocurrency economy becomes increasingly mainstream.
As a Staff Software Engineer within Investigations, you'll be a driving force in a team of engineers, taking ownership of technical direction and sharing responsibility for providing the right tools and the right data to build best in class customer experiences. You'll lead the design, build and maintenance of new customer facing web-features as well as the APIs and services backing them. A key part of this role is partnering closely with product managers and designers, leveraging your deep understanding of the underlying data platform to deliver impactful, scalable solutions to our customers.
In this role, you'll:
- Lead the architecture, maintenance and development of serving cloud-native data ingest and aggregation processes that intake gigabytes of data per day
- Drive the delivery of features across our product suite that detect activities for market manipulation, fraud, behavioural patterning, and more
- Own and scale a high-performance services on AWS that handle thousands of requests per second
- Lead the team's modernisation efforts towards a streaming architecture, setting technical direction and best practices
- Own and drive the direction and enablement of our graphing platform, which is used across multiple products to drive and visualize understanding of our insights and data, both on and off the blockchains
- Debug and resolve production issues across multiple systems and services, guiding the team through complex technical challenges
- Mentor and grow engineers across the team, fostering a culture of technical excellence and collaboration
We're looking for candidates who have:
- Proven experience leading the design and implementation of cloud-native services-based systems in a major cloud provider like AWS or GCP
- A strong track record of mentoring engineers, leading cross-team projects, and driving design and technology decisions at a senior or lead level
- The ability to align technical execution with product and design partners, with a strong bias to ship and iterate
- Deep experience with object-oriented programming languages; we mostly use Java and typescript but appreciate a variety of languages!
- A strong technical background with extensive experience working directly on complex backend and/or frontend systems and projects, including in leadership or lead engineer roles
- Great pride from taking ownership of product ideas from inception through to production
- Good understanding of both frontend and backend best practices and paradigms.
- Integrated AI impactfully in customer-facing products or engineering infrastructure
You might also have:
- Experience with AI-friendly and driven systems
- Exposure to or interest in the cryptocurrency technology ecosystem
- Terraform and Kubernetes knowledge
Technologies we use:
- Java (Spring Boot)
- Typescript (React, Angular)
- Kafka (Warpstream)
- K8S
- Terraform
- PostgreSQL
AI at Chainalysis
AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.
AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.
About Chainalysis
Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.
You belong here.
At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.
We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.
Los Angeles
УдалённоUnited States & Canada; Benefits and Perks (US Only) 💖
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