Задачи:
- Разрабатывать и развивать frontend на React / Next.js, реализовывать интерфейсы по Figma с TailwindCSS
- Строить мультидоменную и мультивитринную архитектуру, конфигурационный подход для storefront
- Интегрировать frontend с backend на Django через REST API, работать с платёжными и subscription API, webhook-события
- Реализовывать ключевые страницы: Landing, Pricing, Checkout, Login, My Account; GEO-зависимый контент
- Оптимизировать Core Web Vitals, обеспечивать SEO и кроссбраузерность
Требования:
- От 3 лет коммерческого опыта с React, уверенное знание Next.js и TypeScript, опыт с TailwindCSS
- Уверенная работа с REST API, опыт интеграции frontend с backend на Django
- Опыт с SSR / SSG, понимание routing и middleware в Next.js
- Понимание принципов multi-tenant / multi-domain архитектуры, feature flags
- Будет плюсом: интеграция с платёжными системами, recurring payments, финтех
Условия:
- График: 5/2 с 10 до 18, отпуск 21 день, оплачиваемый больничный
- Формат работы: удалённо
Toloka AI is a global tech company offering end-to-end data labeling solutions combining public crowd, domain experts, and machine learning.
Project: Workforce, a virtual team of freelancers including AI tutors, subject matter experts, writers, and editors.
Work format: Remote work (Latin America).
Toloka AI is a global tech company offering end-to-end data labeling solutions combining public crowd, domain experts, and machine learning.
Project: Workforce, a virtual team of freelancers including AI tutors, subject matter experts, writers, and editors.
Work format: Remote work (Latin America).
УдалённоГеография найма не уточнена
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Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Location: Remote
Who we are
Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase.
With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once.
Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love.
If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us.
Hours & location
🌎 While we hire
almost anywhere
in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with EST for at least 20 hours/week.
Preferred locations:
USA
Why this job is exciting
Sourcegraph is at the forefront of building AI tools to solve the biggest problems in the software industry, problems that only get bigger as codebases grow and as more of the work is done by agents. The
Code Understanding
team owns the surfaces where that intelligence meets the developer:
Deep Search
, our agentic, multi-step answer engine across an enterprise's entire lineup of codebases,
Query Assist
, turning natural language queries into Sourcegraph query syntax,
Smart Hovers
, concisely summarizing symbols right where devs need it, guided diff review, and the APIs that both humans and AI agents rely on every day.
Most of what makes those surfaces tick is
agent engineering
: a blend of software engineering, machine learning, and statistics. Agent engineering tells us which model to use and when, how to retrieve and pack context, how to measure answer quality, where to fine-tune or distill a smaller model to cut costs and latency, and how to expand a single LLM call into a reliable multi-step agent. As the
staff ML and agent engineer on Code Understanding
, you'll be the technical owner of it: setting the tam’s direction for models, evaluations, and agentic systems, making our products measurably better, faster, and cheaper, and raising the team's fluency in building with models.
This is a
staff-level role
: we're hiring a technical leader, not just a strong individual contributor. The primary need is a production ML and evaluation authority who also builds production agent systems. You'll own the hardest, most ambiguous problems in this space, set standards others follow, and influence direction beyond your immediate team. You'll get the exhilarating chance to drive the vision on how we can provide the best code understanding experience on the market by combining our deterministic, large-scale systems and AI into experiences never seen before.
Concretely, you'll own work like:
Agentic systems.
You'll design and harden the multi-step, tool-using agent loops behind current and new agentic experiences, turning research and experiments into reliable, observable, and affordable products at enterprise scale.
Pragmatic use of evaluations.
Crafting agentic products means needing to tell when a change actually helped, which is hard when agents keep changing and the product keeps shifting. You'll bring judgment about where evaluations earn their keep, when to use targeted smoke tests and metrics, and how to avoid noise dressed up as rigor, so we can move fast with confidence.
Models: selection, upgrading, and training.
You'll decide which models we run where, drive upgrades, and fine-tune our own when that's the right call.
Retrieval and context engineering.
You'll push on how we ground models in a customer's code - retrieval, ranking, context windows, citations - to make answers more accurate and verifiable.
Cost and latency.
Every surface has a per-user economic budget. You'll treat cost and latency as product features, and profile, distill, cache, and right-size models so we can ship ambitious features sustainably.
You'll do this on a small, senior-leaning team that ships quickly, owns a lot of product surface, and has streamlined product management: engineers here talk to customers, frame the problem, and own it end-to-end. You'll have real agency over technical direction and a direct line to the impact of your work.
📅 Within one month, you will…
Get the Code Understanding products and their model/agent pipelines running end-to-end locally, and land your first improvements to a model, prompt, retrieval path, or eval.
Build a clear picture of where the AI engineering pain is, and the product surfaces most constrained by them.
Get to know the team and our customers, and start forming your own opinions about where our agentic products should go next.
Join the team's on-call support rotation.
📅 Within three months, you will…
Own a meaningful agentic slice of the product end-to-end, driving it from problem-framing through rollout and measurement.
Establish how the team ships model and prompt changes responsibly: the evals, dashboards, and guardrails that make quality and cost regressions visible before customers feel them.
Begin up-leveling teammates in building with models by pairing with them, reviewing their code, and modeling good agent engineering instincts.
📅 Within six months, you will…
Be the recognized technical authority for agent engineering and agentic systems on Code Understanding. You will be the person teammates, and increasingly the wider department, defer to on model, eval, and agent-design decisions.
Have measurably moved the products: better answer quality, lower cost/latency, or new agentic capabilities that weren't feasible before.
Be setting the direction of the team's roadmap where it intersects agents, bringing conviction, backed by evidence, about which bets are worth making, and pulling other engineers up to execute on them.
About you
You are a
staff engineer and technical leader with hard-won skills across production machine learning, evaluation, and agent systems
. This high-leverage role relies on your ability to make sound model and evaluation decisions for a fast-moving product, build the production systems around them, steer technical direction, and be a force multiplier for a talented, product-minded team. You're equally comfortable reasoning about an eval harness, a fine-tuning run, a retrieval pipeline, and the multi-step agent loop that ties them together, and you make everyone around you better at all of it.
You operate at staff scope: you own the most ambiguous, highest-risk problems in your domain, go into whatever codebase a problem requires, set standards and patterns others adopt, and translate fluidly between engineering goals and business objectives. You influence direction beyond your immediate team. You lead through technical excellence and mentorship.
You have personally owned a production model lifecycle.
You have trained or fine-tuned at least one model and taken it from dataset construction through evaluation, production rollout, and monitoring. You can explain how you chose between training or fine-tuning and prompting or retrieval, how you chose baselines and metrics, what error analysis revealed, and how production evidence affected the next version.
You build agents, fluently and opinionatedly.
You've designed multi-step agentic systems and made them reliable, observable, and cost-bounded. You have a point of view on where agents shine and where deterministic code or human judgment is required.
You have strong evaluation judgment.
You build representative datasets, meaningful baselines, useful error taxonomies, and release criteria that connect offline measurements to production behavior. You know where rigorous evaluations earn their keep, where lightweight smoke tests or qualitative review are enough, and where a precise-looking metric is misleading.
You treat cost and latency as product constraints.
You make measured quality, latency, and cost tradeoffs and use the appropriate combination of model selection, prompting, retrieval, caching, distillation, and fine-tuning rather than reaching reflexively for a more complex model.
You operate autonomously on ambiguous problems.
Given a rough product idea, a few customer quotes, and a Slack thread, you come back with a plan, a prototype, milestones, and a point of view on tradeoffs, without it being pre-scoped. You own high-technical-risk projects end-to-end.
You contribute beyond your domain.
As a senior IC, you go into whatever part of the codebase a problem requires, recognize issues beyond your immediate area, and translate between engineering goals and business objectives.
You up-level the people around you.
You mentor by pairing on hard problems, providing substantive design and code reviews, and spreading agent engineering literacy across the team. You see investing in your teammates' growth as part of the job.
You're customer and product-driven.
You're comfortable on customer calls and in feedback threads, you turn raw signals into requirements, scopes, and milestones, and you push back when feedback would lead the product astray.
You're pragmatic, not a perfectionist.
You ship the smallest correct thing, prefer robust solutions over complicated ones, and keep a high-quality bar with simplicity.
On the engineering fundamentals:
You're a strong software engineer who can ship production services.
You're comfortable across our stack - Go on the backend, TypeScript on the frontend, GraphQL, Postgres, Docker - or you're clearly able and eager to get there.
You're fluent with agentic coding tools, and you understand and own every line it submits.
You're comfortable in an async-first, multi-service, fast-paced remote environment.
Nice-to-haves:
You've shipped an LLM-powered or agentic developer-facing product you can speak about opinionatedly: what worked, what didn't, what you'd do differently.
You've fine-tuned, distilled, or trained models to meet cost, latency, or quality targets in production.
Experience with retrieval, ranking, embeddings, or search relevance.
Experience working directly with enterprise customers and translating their needs into a product.
Experience mentoring or up-leveling engineers, especially raising a team's agent engineering fluency.
Level
📊 This job is an IC4. You can read more about
our job leveling philosophy
in our Handbook.
Compensation
💸
We pay above-market salaries because we want to hire exceptional people who can focus on building great products, not worrying about paying bills. As an
open and transparent
company, our
compensation philosophy
and pay bands are visible to every Sourcegraph teammate, and we strive to make our approach equitable, explainable, and competitive.
Your base salary is determined by the IC4 pay band for your location zone (1-4). Our pay bands are informed by market data and designed to ensure competitive compensation wherever you live. During the recruiting process, we'll discuss the range applicable to you based on job level, relevant skills, experience, qualifications, and location zone.
💰
The starting salary for the IC4 pay band in each zone is:
Zone 2: $176,000 USD
Zone 3: $132,000 USD
Zone 4: $88,000 USD
📈 In addition to competitive cash compensation, we offer meaningful equity (because when Sourcegraph succeeds, we want you to succeed, too) and generous
perks & benefits
.
Interview process
Below is the interview process you can expect for this role (you can read more about
the types of interviews
in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all!
We expect the interview process to take 5.5 hours in total.
👋 Introduction Stage
- we have initial conversations to get to know you better…
[30m]
Recruiter Screen
[30m]
Hiring Manager Screen
🧑💻 Team Interview Stage
- we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners…
[60m]
Resume Deep Dive
[60m]
System Design
[60m]
Harden a Code Research Agent Interview
[60m]
Cross-functional team collaboration
/
Values
🎉 Final Interview Stage
- we move you to our final round, where you gain a better understanding of our business and values holistically…
[30]
Leadership
We check references and conduct your background check
Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process.
Learn more about us
You can learn more about what it is like to work at Sourcegraph by reading
our handbook
.
We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our
culture
,
competitive compensation
and
benefits
here.
Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds.
Sourcegraph participates in
E-Verify
for U.S. Employees.
Location: Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia
If you want to build and own the systems that decide what JetBrains customers are entitled to use and bill them accurately for it, this is for you. You will focus on designing backend services, keeping complex commercial flows correct, and tackling hard distributed systems challenges on the critical path of every paid request.
About JetBrains
We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale.
What you’ll do
At JetBrains, the Cloud Platform department builds the underlying infrastructure that powers authentication, paid capabilities, usage metering, and accounting. Within this department, the Licensing & Billing team sits right at the center of our commercial model, turning what a customer buys into what they are actually allowed to use, and accounting for that consumption accurately enough to bill on.
The complexity of our entitlement, quota, and metering systems continues to grow. In this role, you will own the correctness and evolution of these backend services, take full ownership of end-to-end data flows, tackle distributed consistency across unreliable upstream systems, and ensure revenue-affecting data migrations happen cleanly without taking services offline.
Day to day, you will:
Design, build, and operate backend services that decide what a customer is entitled to and what their usage costs.
Own flows end to end, from ingesting licensing and purchase data from upstream systems to enforcing quotas and recording consumption.
Evolve our domain model to handle new commercial structures, combining seat-based plans and usage-based models.
Design integrations with external systems, ensuring correctness through idempotency, ordering, reconciliation, and eventual consistency.
Plan and execute live data migrations using feature flags, dual writes, backfills, and verification at every stage.
Build observability into our systems by defining invariants, metrics, and alerts to catch silent divergence before customers do.
Design internal APIs with explicit focus on versioning, backward compatibility, and developer experience for other JetBrains teams.
Improve system performance and reliability under continuous production load while decommissioning legacy subsystems.
Write integration tests against real dependencies and maintain reliable test infrastructure.
Investigate production incidents, find root causes, and follow through on lasting fixes.
What you’ll bring
An engineer’s dedication to accuracy, especially in domains where system errors have direct financial impact.
Pragmatic judgment when designing distributed systems where correctness under unreliable delivery is the main constraint.
A habit of trusting metrics, traces, and logs to understand production behavior rather than relying on assumptions.
Comfort navigating and simplifying large existing codebases containing legacy decisions.
Clear, direct communication skills to agree on API contracts across teams with different priorities.
A focus on testing as an essential design tool rather than an afterthought.
What you’ll need
A proven track record of building and operating backend services on the JVM platform using Kotlin or Java.
A solid working knowledge of relational databases, including transactions, isolation levels, locking, indexing, and live schema migrations (PostgreSQL preferred).
A deep understanding of distributed systems patterns, such as idempotency, retry strategies, eventual consistency, and data reconciliation.
Practical experience making live data migrations or system changes without downtime using feature flags and staged rollouts.
Experience designing versioned, backward-compatible APIs for other engineering teams.
Hands-on experience with event-driven architectures and message brokers like Kafka.
The ability to diagnose, debug, and resolve production incidents in complex environments.
Proficiency in both written and spoken English.
What success looks like
Success in this role means building a bulletproof entitlement and metering foundation that product teams can trust without hesitation. You will have successfully migrated live commercial systems to support new billing models without downtime or data divergence. Silent errors will be caught automatically by system invariants before affecting users, and internal teams will integrate seamlessly with your clean, versioned APIs.
Why join JetBrains?
Strong base salary. We offer competitive pay that reflects your skills and experience.
Flexible work location. Enjoy the freedom to work from home or from the office.
Remote work. Spend up to 30 days per year working remotely from abroad.
Extra time off. More days to relax, recharge, and do the things you love.
Medical insurance allowance. Enjoy peace of mind for you and your family
Learning and development opportunities. Access to conferences, courses, and language classes.
Relocation support. We help make your move as smooth and stress-free as possible. (keep if relevant for the role)
Language classes. Pick up the local language or sharpen your English skills.
Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
Mental health support. To help you feel your best, we provide easy access to professional mental health services.
Sports benefit. Enjoy an on-site gym or sports club stipend.
Internal events. Join company-wide celebrations and team gatherings.
*Some benefits may vary depending on location.
#LI-KT1
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the
Recruitment Privacy Policy.
Location: Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Strategic Account Leader on our Public Sector Team, you’ll help Department of War agencies modernize how they build and secure software using GitLab’s AI-powered DevSecOps platform. You’ll align GitLab with agency priorities like CI/CD automation, secure development practices, and infrastructure modernization in regulated environments, acting as the primary point of contact for strategic and large prospects. Reporting to a Regional Director, you’ll own a defined book of business, build and execute multi-year account plans, navigate complex procurement cycles, and partner closely with system integrators and resellers to deliver outcomes that matter to public sector missions.
In your first year, you’ll focus on developing trusted relationships with CIOs, technical leaders, and key stakeholders across your territory, driving successful rollouts and adoption of GitLab, and coordinating with our pre- and post-sales engineering and support teams. You’ll also represent the voice of your customers internally by sharing product feedback and ideas through our public issue tracker, helping shape how GitLab serves the public sector over time.
What you’ll do
Build and execute strategic account plans that align GitLab’s AI-powered DevSecOps platform with public sector modernization initiatives
Navigate complex procurement and contracting processes while shaping multi-year technology roadmaps with CIOs and technical leaders
Act as the primary point of contact and trusted advisor for strategic and large public sector prospects and customers
Own your book of business, from pipeline development through close and expansion, using a consultative, mission-focused sales approach
Collaborate with pre-sales and post-sales engineering, customer success, and support teams to ensure successful rollout, adoption, and value realization
Partner with system integrators, resellers, and other channel partners to generate qualified leads and co-create solutions for government challenges
Conduct ongoing prospecting and opportunity development activities within large and strategic accounts to drive new and expansion business
Represent the voice of the customer by sharing feedback and product ideas through GitLab’s public issue tracker and internal teams
What you’ll bring
Experience selling technology solutions to Department of War agencies
Knowledge of the software development lifecycle, including CI/CD automation, secure development practices, and infrastructure modernization
Understanding of compliance requirements, and agency buying cycles, with the ability to navigate complex stakeholder environments
Consultative sales approach that positions technology as a mission enabler and aligns solutions to public sector modernization initiatives
Ability to manage major accounts with a high degree of ownership and control, working under minimal supervision on complex opportunities
Skill in collaborating with system integrators, resellers, and internal pre- and post-sales teams to drive successful customer outcomes
Effective written and verbal communication skills, with strong interpersonal abilities to build consensus across technical and non-technical stakeholders
Alignment with GitLab’s values, openness to learning, and readiness to apply transferable skills and diverse experiences to the public sector domain
About the team
The Public Sector Team focuses on helping U.S. Department of War agencies modernize how they build, secure, and operate software using GitLab’s AI-powered DevSecOps platform. You’ll join a distributed group of strategic account leaders, solutions architects, and channel specialists who collaborate asynchronously across time zones to serve complex, regulated customers. We partner closely with system integrators and resellers, align with agency procurement processes, and coordinate with product, marketing, and support teams to deliver secure, compliant solutions. Our current priorities include navigating evolving procurement and compliance requirements, supporting infrastructure modernization and secure development practices, and expanding GitLab’s presence across key public sector accounts.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$122,000
—
$205,200 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: United States, San Mateo, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Audio Firmware Engineer
We are building a small team to create new products for the PlayStation community. Our team recently delivered the new PlayStation Link, PULSE Explore and PULSE Elite products, recently announced the FlexStrike and PULSE Elevate products, and are hard at work on what comes next.
We are seeking a connectivity protocol engineer for design, implement, and optimize wireless connectivity features across our product ecosystem. You’ll work at the intersection of systems software, wireless standards, and hardware integration—building robust pairing and provisioning flows, debugging low-level protocols, and driving performance under real-world RF constraints. You will also support certification, field interoperability, and fleet-scale connectivity infrastructure.
Come and play with us!
Responsibilities
In this role, you will own and develop firmware for gaming peripherals. You will be responsible for technical leadership, system architecture, and execution across the firmware domain, working closely with internal teams and external partners.
Design, implement, and debug Bluetooth/BLE features across RTOS and/or kernel drivers, systemd/D-Bus services. ALSA/ASoC, codec and DSP drivers, A2DP,HFP, AVRCP.
Deliver robust pairing, bonding, and provisioning flows GATT/GAP, LE Audio/LC3
Optimize end-to-end audio latency, buffer sizing and xrun/glitch elimination, clock drift and sample-rate conversion, jitter buffer behavior, and low-power idle/wake paths, coexistence, nearby discovery.
Reconcile wireless link clock against codec’s I2S clock without audible drift or resampling artifacts and concurrent-path operation
Instrument and analyze with packet captures and tooling: ALSA/PipeWire debug(pw-top, alsa-info, tinyalsa), tracepoints and perf/EBPF; logic analyzer on I2S/SoundWire, and an audio analyzer for TBHD+N, SNR frequency response, btmon.
Drive interoperability and certification readiness (Bluetooth SIG, USB-IF, Microsoft HLK) and resolve field issues with root-cause fixes
Contribute to OTA-safe configuration, telemetry, and diagnostics for fleet-scale operation
Support manufacturing builds, per-unit acoustic calibration and coordinate firmware activities during product bring-up
Support products post-launch
Skills
Are highly proficient in C/C++ with scripting experience (Python or shell) and systems debugging (gdb, strace, logs, packet traces)
Possess deep knowledge of Bluetooth Classic/BLE (HCI, L2CAP, GATT/GAP, profiles)
Bring hands-on experience with BlueZ, and driver bring-up on ARM64 or x86 platforms
Experience with A2DP,HFP, AVRCP, and BAS/ASCS/PACS for LE Audio. Codec familiarity – SBC, AAC, aptX, LDAC, LC3
Qualifications
Have deep experience shipping wireless features on Mac, Windows or Linux-based and/or Console SDK experience·
Bluetooth audio SoC vendor stacks – Qualcomm QCC, Airoha, Realtek, Nordic RnF· Proprietary 2.4Ghz link design (custom TDMA, low latency dongle protocols.)·
Passion for gaming, digital entertainment and consumer electronics industry
Have a proven track record of improving real-world performance and reliability under RF constraints
Nice to Have:
DSP feature integration: AEC, noise suppression, beamforming, sidetone, spatial audio/HRTF·
Host-side audio: WASAPI/APOs on Windows, CoreAudio on MacOS·
Secureboot, signed images, key management for OTA·
Battery life profiling and power-state tuning· Yocto or buildroot·
Direct ODM/CM engagement in Asia
Working Conditions
Small team environment; feels like a start-up within a large organization.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role
is eligible
for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products.
This role also may be eligible for a bonus package.
Click
here
to learn more.
The estimated base pay range for this role is listed below.
$193,300
—
$289,900 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Brazil; Peru; Sweden; Colombia; Argentina; Romania; Malta; Slovenia; Lithuania; Czech Republic; Estonia; Hungary; Mexico; Chile; Poland; Bulgaria
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
The Pro Verifications team decides whether a business signing up on the Pro side is who it says it is, and whether we're allowed to onboard it. That means figuring out who actually owns the business, running it against sanctions and watchlists, and doing all of it fast enough that a real customer doesn't lose patience and leave. Every Pro customer hits these systems, so slow or wrong is very visible — and the team is early, which means whoever joins gets to decide how a lot of it works instead of inheriting it.
How We Work
- We deploy constantly, almost always behind a flag, in pieces small enough to pull back fast.
- Security and compliance show up at design time, not as a gate at the end.
- Every story is tied to a metric it's meant to move — if work isn't on the board, it doesn't get staffed.
- At this level, you're expected to shape these standards, not just work inside them.
THE OPPORTUNITY
As a Staff Engineer on Pro Verifications, you'll own the technical direction for how verification is built here — the architecture, the patterns other engineers work inside, and the calls about what we own versus what we lean on a vendor for. You'll be hands-on across the stack, drive out entire classes of recurring failure rather than patching them one at a time, and design the fail-closed and audit behavior that keeps regulators satisfied.
This is a high-impact, hands-on technical leadership role for engineers who've built where being wrong has real consequences, and who want to shape a system that stays fast, safe, and defensible as it grows.
- Set the shape of the verification services and their contracts across the KYC/KYB flow.
- Decide how we abstract KYC and KYB vendors so a bad provider day doesn't turn into an outage.
- Design fail-closed behavior and audit trails that hold up under regulatory scrutiny.
- Identify the classes of failure that keep recurring and remove them for good.
- Write and drive architecture decisions (ADRs), and hold the line on security and compliance at design time, not as a late gate.
- Mentor and raise the bar for senior engineers through design reviews, code, and direct feedback.
- Be measured on whether verification gets faster, more of it decides itself, fewer decisions are wrong, and the systems stay up — and on whether the team got stronger for you being on it.
WHAT YOU BRING
- Around eight years building and running production systems, with a track record of owning a domain's technical direction, not just delivering inside one.
- Deep, fluent expertise in Rust, with the versatility to work across TypeScript and React where verification meets the customer.
- You've set architecture other people build on, and it held up — you can point to specific classes of failure you designed out, not just incidents you fixed.
- You've made teams faster through patterns, tooling, or mentoring — engineers around you got better and shipped more because of calls you made.
- You've built where being wrong had real consequences: compliance, payments, security, or anywhere a bad call costs more than a rough user experience.
- Strong on distributed systems, service contracts, and secure design — you've integrated third-party APIs that couldn't be trusted, with real timeouts, retries, idempotency, circuit breakers, and backup paths that actually get tested.
- Comfortable with, or able to quickly ramp on, gRPC, Temporal, Docker, Kubernetes, Terraform, MySQL/MariaDB, Redis, and GitLab CI.
NICE TO HAVES
- Direct experience with KYC, KYB, or fraud work, including integrating providers like Trulioo, Persona, or ComplyAdvantage.
- Comfort building with AI in the loop.
- Time spent in crypto, fintech, or another space regulators pay close attention to.
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on X https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: Remote - Global
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Role
Serve as the on-duty commander for Alpaca's most critical incidents, directing cross-functional response to restore service quickly, keeping the right people engaged and informed, and making sure every incident leaves behind something the organisation can act on.
You do not fix the outage. You make the response reliable: correct severity, the right engineers in the room, mitigation that does not stall, leaders informed in time, and follow-up work that survives the call.
Things You Get To Do
Command incidents end to end.
Take command from declaration to mitigation, keeping responders focused on stopping customer and partner impact as fast as possible. Run the bridge, keep observers out of the responders' way, and name a stall out loud when you see one.
Classify and hold the line on severity.
Set severity at declaration and re-check it as facts arrive. Risk advises on financial and regulatory materiality; the call is yours.
Engage the right people, fast.
Identify the owning team by service, symptom and blast radius, page them, and expand the responder set the moment the first team is wrong or not enough. When a page goes unanswered, escalate - and escalate the escalation. Bring in the leaders who must make business calls: feature flags, traffic shedding, failover, freeze-or-ship.
Hold the bridge, and protect the people fixing it.
Keep engineering and technical support uninterrupted - questions from stakeholders, partners and executives come to you. Be the single source of truth to the partner communications team on impact, severity and timing: you decide when a status page update or partner contact is needed, they write and send it, and chasing a late or stale update is yours.
Run follow-the-sun handoffs.
Deliver warm, high-fidelity handoffs across regions: current impact and severity, mitigation path and next actions, who is in the room, outstanding decisions, and what must not be dropped. The incoming commander confirms ownership before you step away - command never goes dark at a region boundary.
Close the loop, on the clock.
Maintain the timeline of facts as the incident runs rather than reconstructing it afterwards - in a regulated business that record has to hold up long after the call ends. Once mitigated, make sure a blameless retrospective is scheduled with a named owner and a timebox, and record where the cause sits - that choice sets which follow-up items are mandatory. Every action item needs a real ticket, one named accountable, a priority and a category, delivered inside the agreed service level. If a postmortem produces nothing but low-priority items, treat that as a signal the analysis stopped early and escalate to SRE rather than passing it on.
Automate the coordination away.
Coordination is the part of this job that should eventually belong to a machine. Every manual prompt you send - the update that is due, the question nobody answered, the partner nobody contacted - is a candidate for automation, and the direction we are heading is AI handling the routine so commanders can spend their attention on judgement. You get us there by working to the decision trees, saying where they are wrong, and being honest about which of your instincts are actually rules.
Who You Are (Must-Haves)
4+ years commanding or co-commanding high-severity incidents in a production engineering, SRE or technical operations environment.
You direct technical responders under pressure without being the person writing the fix.
You make and defend crisp severity and escalation decisions, and you take charge without waiting to be asked. Command means waking senior people at 03:00, interrupting an executive, and telling an experienced engineer to stop what they are doing - with an audience watching. It is a visible, directive role and it needs to be instinctive.
You can read a dashboard and judge for yourself whether impact has actually stopped.
You communicate clearly with engineers, executives and partner-facing stakeholders - and you know the difference between briefing the comms function and speaking for the company.
You are comfortable holding other teams to account in the moment, across a reporting line that is not yours, without turning it into friction.
You thrive in a follow-the-sun model with clean cross-region handoffs.
You understand FinTech concepts and the trust stakes of API-driven financial platforms.
You use AI tools and agentic automation to reduce manual toil and speed up response.
You will work a regional coverage window as part of a global 24x7 Incident Commander roster.
Who You Might Be (Nice-to-Haves)
Formal incident command training - ITIL, Major Incident Management or crisis management.
Experience with modern incident management and on-call platforms.
You have written severity rubrics, decision trees, escalation matrices, runbooks or incident playbooks.
You have commanded in game days, tabletop exercises or incident simulations, not only in production.
You have partnered with problem management or reliability programme functions to roadmap incident follow-ups.
Online securities trading or capital markets experience, or another regulated, market-hours-sensitive domain.
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
Location: New York
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
The Head of Global Recruiting Operations will lead the systems, programs, and processes that power and accelerate recruiting across every function and region. The Recruiting team's mission is to identify, attract, and hire world-class talent, and this role ensures the operational and programmatic infrastructure supports this goal. This position oversees the recruiting operating model end to end: coordination, systems, analytics, programs and enablement that support our hiring teams and ambitions hiring goals, ensuring a coherent model for a global organization. This leader will partner cross functionally and with recruiting leadership to translate hiring plans into consistent, well run execution. It is an exciting opportunity to operationalize talent acquisition at scale in an AI native environment.
WHAT YOU'LL DO
- Partner proactively with business leadership and the recruiting team to translate long term business objectives into a unified, high impact global recruiting operations strategy
- Develop and drive recruiting programs that align with the overall recruiting strategy
- Drive strategic alignment across recruiting technology, operational workflows, and automation initiatives to directly support overarching organizational priorities
- Collaborate with recruiting leaders to champion excellence, consistent standards, and strategic capability building across all hiring teams
- Lead integrated workforce and demand planning in lockstep with Finance and business heads, steering executive decision-making and strategic capacity planning globally
- Drive the continued development of a strategic talent analytics function to provide business leaders and recruiting executives with actionable guidance, pipeline foresight, and high-level productivity insights
- Influence and elevate candidate experience and hiring manager engagement through world class programs and enablement
WHAT YOU HAVE
- 10+ years leading recruiting operations, systems, and enablement teams in global, high-growth organizations.
- Demonstrated success in translating overarching business goals into comprehensive recruiting strategies, executive analytics frameworks, and scalable operational models.
- Deep expertise with modern recruiting and AI platforms and global hiring compliance across multiple regions.
- Strong leadership and cross-functional stakeholder management skills to influence senior leadership.
COMPENSATION
$196,200 - $294,200 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-AH1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: San Francisco
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
The Head of Global Recruiting Operations will lead the systems, programs, and processes that power and accelerate recruiting across every function and region. The Recruiting team's mission is to identify, attract, and hire world-class talent, and this role ensures the operational and programmatic infrastructure supports this goal. This position oversees the recruiting operating model end to end: coordination, systems, analytics, programs and enablement that support our hiring teams and ambitions hiring goals, ensuring a coherent model for a global organization. This leader will partner cross functionally and with recruiting leadership to translate hiring plans into consistent, well run execution. It is an exciting opportunity to operationalize talent acquisition at scale in an AI native environment.
WHAT YOU'LL DO
- Partner proactively with business leadership and the recruiting team to translate long term business objectives into a unified, high impact global recruiting operations strategy
- Develop and drive recruiting programs that align with the overall recruiting strategy
- Drive strategic alignment across recruiting technology, operational workflows, and automation initiatives to directly support overarching organizational priorities
- Collaborate with recruiting leaders to champion excellence, consistent standards, and strategic capability building across all hiring teams
- Lead integrated workforce and demand planning in lockstep with Finance and business heads, steering executive decision-making and strategic capacity planning globally
- Drive the continued development of a strategic talent analytics function to provide business leaders and recruiting executives with actionable guidance, pipeline foresight, and high-level productivity insights
- Influence and elevate candidate experience and hiring manager engagement through world class programs and enablement
WHAT YOU HAVE
- 10+ years leading recruiting operations, systems, and enablement teams in global, high-growth organizations.
- Demonstrated success in translating overarching business goals into comprehensive recruiting strategies, executive analytics frameworks, and scalable operational models.
- Deep expertise with modern recruiting and AI platforms and global hiring compliance across multiple regions.
- Strong leadership and cross-functional stakeholder management skills to influence senior leadership.
COMPENSATION
$196,200 - $294,200 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-AH1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
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 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 Beneficial Deployments
Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, governments, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences.
About the Role:
We're looking for a Partnerships Manager to help extend Anthropic's health work into US public health. Building on our existing global health portfolio, you'll help shape how we engage the US public health system and manage a set of partnerships across federal, state, and local levels. Because this is an emerging area for the team, the role blends partnership management with meaningful contribution to strategy.
The right person combines credibility in the US public health ecosystem, enough technical fluency to be a real thought partner on AI deployment, and comfort operating in a space that's still taking shape.
This role is distinct from our Account Executive function: while AEs drive scaled adoption of Anthropic's core products, Partnership Managers build deep partnerships that require custom deployments, research collaboration, and hands-on program design. You'll work with a smaller portfolio of flagship partners where the goal is driving impact metrics and creating learnings that benefit the broader ecosystem.
Responsibilities:
Contribute to Anthropic's US public health strategy, working closely with the team lead to identify priority partners and use cases and bringing field insights back to inform our broader health work
Own a portfolio of flagship deployments, coordinating with Applied AI, product, policy, and GTM teams to deliver impact
Source, evaluate, and onboard new partners; structure engagements that work within government procurement, data governance, and privacy constraints
Translate partner needs into deployment plans that account for legacy systems and workforce realities
Support the creation of shared resources and digital public goods that help the broader field use AI responsibly
Build the evidence base by partnering with academic and evaluation organizations to study what works
Represent Anthropic at public health convenings and with funders and policymakers
Help shape team processes as we grow this area; hand off opportunities better suited to scaled sales or public sector motions
Travel to partner sites and to SF headquarters every ~6 weeks for those based outside SF (~20% travel)
You Might Be a Good Fit If You Have:
10+ years of experience in US public health, health policy, or public sector health innovation
5+ years managing external partnerships, multi-stakeholder initiatives, or programs that span government and civil society
Deep relationships and credibility in the US public health ecosystem — you know the key players at CDC, state health departments, major schools of public health, and the foundations that fund this work
A working understanding of how federal, state, and local public health agencies operate, fund programs, and adopt new technology
Technical fluency to engage credibly on AI concepts, understand LLM capabilities and limitations, and partner effectively with technical teams
Experience building programs or portfolios in early-stage environments where the playbook is still being written
High agency and comfort with ambiguity; you thrive when the playbook doesn't exist yet
A genuine drive to strengthen the public health system and the communities it serves
An MPH or related credential
Strong Candidates May Also Have:
Experience inside a federal or state health agency (CDC, HHS, a state DOH) or at an organization that works closely with them
Background in epidemiology, ideally with hands-on surveillance experience at a state, local, or federal health agency
Experience working in a global context
Experience at a healthtech company, AI organization, or in a product-adjacent role
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:
$215,000
—
$300,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Strategic Account Executive at Anthropic, you’ll drive adoption of safe, frontier AI by securing strategic deals with top enterprises, unlocking new value streams throughout their business. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape.
The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI.
Responsibilities:
Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch
Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns
Spearhead market expansion by pinpointing new customer segments and use cases. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge
Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience
Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency
You may be a good fit if you:
7-10+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach
A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions
Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups
Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders
Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process
Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives
A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player
A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities
A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
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:
$380,000
—
$450,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Serbia; Spain; Budva, Montenegro; Portugal; Poland
Action1 is an autonomous patch management platform trusted by many Fortune 500 companies. Cloud-native, infinitely scalable, highly secure, and configurable in 5 minutes, it just works and is always free for the first 200 endpoints, with no functional limits. By pioneering autonomous OS and third-party application patching, Action1 helps organizations eliminate routine work, reduce ransomware and security risks, and protect the digital employee experience. It provides real-time vulnerability assessment and remediation across remote and on-site endpoints without requiring a VPN, while peer-to-peer patch distribution reduces bandwidth use on local networks.
In 2026, Action1 was recognized as the fastest-growing founder-led cybersecurity company in America on the Inc. 5000. Action1 is led by industry veterans Alex Vovk and Mike Walters, American entrepreneurs who founded Netwrix, which has grown into an industry-leading, multibillion-dollar cybersecurity company.
We are looking for a Dev Manager to lead the engineering team responsible for Executive Reporting.
You will combine engineering leadership with hands-on technical expertise to help customers understand patching and vulnerability trends over time through reliable reports and dashboards.
What you'll do:
Lead and develop a team of engineers, providing technical direction, mentoring, and regular feedback.
Own delivery outcomes within the agreed scope, provide practical estimates, and make capacity and priority trade-offs visible.
Work with Product Management and the EVP to define priorities and translate customer needs into executive reporting capabilities.
Oversee the design, development, and operation of reporting capabilities, including:
- Historical reporting on patches and vulnerabilities.
- The Enterprise Reports Engine and reusable report execution capabilities.
- Dashboard services for presenting trends and status to decision-makers.
- Data aggregation and consistent calculation of reporting metrics.
- Report generation, scheduling, and export workflows.
Guide technical decisions within the assigned domain, from solution design through development and production rollout, while coordinating cross-cutting architecture and security decisions with their designated owners.
Establish clear definitions for metrics, reporting periods, data freshness, and missing data so customers can interpret results accurately.
Coordinate with Product Value and core engineering teams on source data, reporting content, access controls, and shared infrastructure.
Own automated pipelines for building, testing, validating, and deploying reporting services.
Improve reporting accuracy, query performance, reliability, and observability as customer data volumes grow.
Apply AI technologies where they improve reporting development, validation, or interpretation.
Requirements
What we're looking for:
Experience leading software engineers and owning the delivery and operation of production systems.
Strong software engineering fundamentals and the ability to contribute to technical problem-solving.
Excellent knowledge of Node.js, JavaScript, and TypeScript.
Experience building and operating AWS services in production.
Hands-on experience with reporting platforms, analytics services, or data-intensive applications.
Proficiency in SQL and experience with data modeling, aggregation, and query performance.
Understanding of historical data, metric consistency, and data-quality validation.
Strong communication skills and the ability to align engineering work with product priorities.
Professional working proficiency in English for leading an English-speaking team and collaborating across functions.
Nice to have:
Experience writing automated tests for data pipelines, reporting calculations, and report generation.
Experience with dashboard engines, scheduled reporting, and large data exports.
Experience with patch management or vulnerability reporting.
Experience with runtime isolation and sandboxing for sensitive execution.
Experience in B2B SaaS, security, compliance, or data governance.
Experience building high-load products that support large numbers of endpoints.
Benefits
Fully remote work with flexibility to support your work-life balance.
A collaborative environment that empowers you to own your domain and implement best practices.
Stable income, benefits, flexible working hours, and opportunities for career advancement.
Friendly, professional colleagues who are eager to support you and help you grow.
Engaging challenges and opportunities to make a meaningful impact.
Location: Batumi, Georgia; Berlin, Germany; Munich, Germany; Lisbon, Portugal; Warsaw, Poland; Barcelona, Spain
The Vault by Tría Finance
is a Swiss and EU-regulated fintech group delivering institutional-grade digital asset infrastructure and services.
Bringing together a software vendor and a licensed Crypto Asset Service Provider (CASP), The Vault combines deep domain expertise with a strong foundation of transparency, security, and regulatory compliance.
We develop and operate a comprehensive suite of crypto-native solutions, powered by proprietary technology, enabling institutions to execute digital asset strategies across both custodial and non-custodial models.
We're building a security-first platform for digital asset operations. Our product is API-driven, highly auditable, and engineered for reliability. We're looking for a
Senior Full-Stack Engineer
who can own features end-to-end — from clean domain modeling in Go or Node.js to a polished, crisp React UI.
Responsibilities:
Build end-to-end product features across Go and Node.js/Express backends and React frontend
AI-assisted development: use Cursor/Copilot/ClaudeCode (or similar) daily to accelerate delivery, refactoring, and test generation—while verifying outputs and keeping code clean
Design backend services using DDD patterns (bounded contexts, aggregates, domain events), clean layering, and pragmatic architecture
Implement data models and migrations across PostgreSQL and MongoDB, using GORM, Mongoose, or raw queries where appropriate
Build and maintain REST APIs (and webhooks/event-driven workflows where needed) in both Go and Node.js/Express
Implement frontend flows in React (TypeScript): dashboards, admin workflows, status lifecycles, audit views
Ensure correctness and observability: structured logging, metrics, tracing, and production-ready error handling
Contribute to security fundamentals: RBAC, least-privilege access, safe secrets handling, and audit trails
Own quality: unit/integration tests, contract tests, and CI pipelines
Requirements
Must-have
7+ years building production systems with Go and/or the MERN stack (MongoDB, Express, React, Node.js), plus solid React experience
Strong backend fundamentals: concurrency, APIs, reliability, debugging
Hands-on with DDD (not just buzzwords): can model domains and keep boundaries clean
Strong database skills across PostgreSQL and MongoDB: schema/collection design, indexing, query tuning, migrations
Experience with GORM and/or Mongoose (or similar ORMs/ODMs) plus comfort dropping to raw SQL or aggregation pipelines when needed
Frontend proficiency in React (TypeScript preferred), including state management and form-heavy admin UIs
Good testing discipline (Go testing, Jest/Vitest, integration tests; frontend testing basics)
REQUIRED: confident daily use of AI coding tools (Cursor/Copilot/etc.) with disciplined verification and secure practices
Nice to have
Event-driven patterns: outbox, retries, idempotency, background jobs
Experience with RBAC/policy engines, audit logs, fintech/compliance workflows
Docker/Kubernetes familiarity
CI/CD ownership (GitHub Actions/GitLab CI), release workflows
Experience with high-security systems (custody, payments, identity)
Soft skills
Ownership mindset: deliver features end-to-end with high quality
Clear communication and ability to work across teams
Pragmatic: balances long-term design with shipping
Comfortable in ambiguity and fast iteration
Benefits
Competitive salary;
Annual performance bonus;
Fully remote position — work from anywhere in the world (team operates on CET);
Paid time off, including vacation, sick leave, and public holidays;
Multiple projects within the company — the opportunity to discuss different projects during the interview and choose the one that's the best fit for you.
Location: Remote - US
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio’s next Vendor Operations & Governance Specialist.
About the job
We are seeking a results-driven Vendor Operations & Governance Specialist to oversee and optimize our global vendor partnerships. In this role, you will serve as the direct operational bridge and governance link between Twilio and our partner sites ensuring third-party contact centers consistently exceed Service Level Agreements (SLAs), quality standards, and operational benchmarks.
Working alongside our Global Workforce Management (WFM) team, you will establish operational rigor, lead vendor performance reviews, and audit site operations. The ideal candidate is an analytical and influential leader capable of driving vendor accountability, mitigating operational risks, and translating vendor performance data into actionable strategic insights for senior leadership.
Responsibilities
In this role, you’ll:
Day-to-Day Vendor Operations & Performance
Own daily operational execution, Service Level Agreement (SLA) compliance, quality scores, and site performance across partner-managed queues.
Drive partner sites to exceed core operational metrics, including, productivity, Customer Satisfaction KPIs: CSAT/CES, Quality Assurance, and Average Handle Time (AHT).
Lead daily vendor huddles, intraday performance tracking, and weekly operational performance reviews (WBR).
Institute monthly Root Cause & Action Plan (RCAP) processes to eliminate operational bottlenecks and customer friction points.
Conduct bi-weekly cross-site calibration sessions with internal Quality and Training teams.
Vendor Relationship & Operational Governance
Serve as the primary operational point of contact for vendor leadership, establishing clear accountability routines.
Operationalize Twilio’s core values ("Wear the Customer’s Shoes") across partner sites through daily routines, coaching, and onboarding excellence.
Audit site culture, agent sentiment, and leadership-to-agent ratios to keep site attrition below target thresholds.
Partner closely with the WFM Manager to ensure headcount alignment, ramp execution, and interval coverage match operational needs.
Talent Pool & Pipeline Optimization
Evaluate and recommend optimal geographical talent pools and partner site profiles for operational scaling or re-allocation.
Collaborate with vendor recruitment teams to refine candidate profiles, ensuring alignment with API-driven support and complex technical workloads.
Partner with vendor sites to ensure comprehensive and consistent new-hire and multi-skill onboarding, including training readiness, execution and successful completion.
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
*Required:
5+ years in Vendor Site/Contact Center Operations:
Direct experience managing vendor relationships and multi-channel support operations (min. 100+ FTE footprint).
Operational Governance Focus:
Strong background in delivering results, site audit routines, performance scorecards, calibration routines, continuous improvement frameworks and structured governance routines (QBRs/MBRs/scorecards).
WFM & Cross-Functional Alignment:
Fluency in workforce management concepts (occupancy, shrinkage, schedule adherence) to effectively collaborate with the internal WFM team.
Domain & System Experience:
Background in developer-first or SaaS platforms, API-driven support workloads, and experience with systems like Zendesk, Twilio Flex, Looker, or Tableau.
Cross-Functional Process and Workflow Design:
Demonstrated ability to build operational excellence, SOPs, drive and influence standardization without direct authority, and communicate complex operational data to executive leadership.
Location
This role will be remotely located in the United States.
This role will be remote,
but is not eligible to be hired in CA, CT, NJ, NY, PA, WA.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Compensation
*Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only.
The estimated pay ranges for this role are as follows:
Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $116,960.00 - $146,200.00
This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
Application deadline information
Applications for this role are intended to be accepted until October 5th, but may change based on business needs.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: New York
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As a Staff or Senior Staff Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects that span multiple Product Engineering teams and product lines. You'll work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers.
Product Engineering covers a lot of ground, and we're looking for engineers across multiple domains — backend, full stack, and AI. We want people who have built great products across consumer, enterprise, and everything in between, and who are excited about building the future of application layer and genAI products. You'll build both the surfaces where lawyers meet Harvey — web, mobile, and embedded experiences in Word, Outlook, and Slack — and the agentic capabilities that power them.
This role can be based in New York City or San Francisco, with a hybrid schedule of three days a week in office.
WHAT YOU'LL DO
- Bring AI to where our customers already work: build Harvey across every surface — web, desktop, mobile, and embedded experiences (Google Docs, MS Word, Outlook, and Slack), and API.
- Lead large, high-priority projects that span multiple teams, and define the technical bets we make over the next several quarters.
- Find the problems that are business critical, prioritize ruthlessly, and make the big tradeoff calls without slowing anyone down.
- Build AI-platform and AI-native capabilities — the agent harness, agent building (custom agents and workflows), tool calling, retrieval, memory and context management, personalization and tone, the thread experience, and the evals that turn model quality into product quality.
- Ship the systems that make Harvey work: retrieval over petabyte-scale document corpora, ingestion growing 10x every six months, data collection across 50+ jurisdictions, and government-level security for the world's most sensitive matters.
- Ship across the stack — React and TypeScript alongside Python and Postgres — architecting intuitive UX and robust APIs for streaming results, long-running processes, and complex tool-calling workflows.
- Mentor senior and staff engineers, and raise the bar for how the whole org builds.
WHAT YOU HAVE
- 10+ YoE (post-BS/MS) in a product-focused software engineering role, operating at Staff level or above.
- Depth in full stack, backend, or agents/AI — and enough range to be useful outside it.
- Experience building scalable, extensible systems that support multiple product lines.
- Track record of shipping highly intuitive products in fast-growing SaaS, strong attention to detail.
- Experience with React, TypeScript, CSS (we use TailwindCSS), Python, or related. For agents/AI, proficiency in Python plus hands-on work building and shipping agentic systems — agent harnesses/loops, tool use, memory, and evals — not just calling LLM APIs.
- You embrace AI in how you build: AI coding tools (Claude Code, Cursor, Codex, or similar) are a core part of how you ship, and you have sharp instincts for where they accelerate work and where they fall short.
- A history of influencing and aligning engineers and leaders well outside your direct scope.
- Strong programming skills and general Computer Science knowledge.
- Grit — experience working at early-stage startups is a plus.
COMPENSATION
$231,000 – $340,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-PM1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
УдалённоNo matter what, working hours must overlap with EST for at least 20 hours/week
УдалённоRemote, United States; You’ll join a distributed group of strategic account leaders, solutions architects, and channel specialists who collaborate asynchronously across time zones to serve complex, regulated customers; The base salary range for this role’s listed level is currently for residents of the United States only
United States, San Mateo, CA
New Delhi
УдалённоBrazil; Peru; Sweden; Colombia; Argentina; Romania; Malta; Slovenia; Lithuania; Czech Republic; Estonia; Hungary; Mexico; Chile; Poland; Bulgaria; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
УдалённоYou have commanded in game days, tabletop exercises or incident simulations, not only in production
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