Location: New York, New York, United States
About the Role
iCapital is seeking an experienced, strategic-thinking Dynamics Tech Lead to support the launch and scalability of Microsoft Dynamics 365 across the enterprise. This role is responsible for hands-on development, configuration, and support of Microsoft Dynamics applications, ensuring the smooth operation and integration of Dynamics solutions to meet evolving business needs.
Responsibilities:
Lead day-to-day development for Dynamics 365 Customer Service and Dataverse, partnering closely with the Architect, Product Owner, and QA Lead while contributing hands-on code alongside the team.
Own code review standards and review changes across plug-ins, client scripts, Power Automate flows, and solution components.
Define engineering practices for solution layering, source control, branching, environment management, coding standards, templates, and reusable development patterns.
Own CI/CD pipelines in Azure DevOps, enabling repeatable and governed releases from development through production.
Deliver enhancements across case management, SLAs, queues, routing, security roles, and other core Dynamics 365 Customer Service capabilities.
Implement Dynamics 365 Contact Center capabilities, including channel configuration and unified routing.
Build Copilot Studio agents and Copilot features for service agents and customers, incorporating effective grounding, hand-off, and guardrail design.
Design and build enterprise integrations with platforms such as ServiceNow, Pega, and Salesforce using APIs, Dataverse, and Power Automate, with appropriate error handling and monitoring.
Launch secure customer self-service capabilities, including a portal with authentication, role-based access, and data protection suited to a regulated business.
Deliver a customer-facing chatbot integrated with the self-service portal, case management capabilities, and live agent hand-off.
Take technical ownership of the platform, including the technical backlog, codebase, solutions, and documentation, as part of the transition from the implementation partner.
Mentor developers, establish scalable engineering practices, and help shape the in-house engineering function, including proposing additional development hiring as demand grows.
Qualifications:
Extensive hands-on development experience with Microsoft Dynamics 365 Customer Service, Dataverse, and the Power Platform
Strong proficiency in C#, JavaScript, and TypeScript, including experience developing plug-ins, custom APIs, and client-side scripts
Demonstrated experience leading developers, conducting code reviews, mentoring team members, and establishing engineering standards for business-critical applications
Experience building enterprise integrations using REST APIs, including exposure to platforms such as ServiceNow, Pega, or Salesforce
Hands-on experience with Power Automate and CI/CD for Power Platform solutions, including experience with Azure DevOps
Strong understanding of security roles, authentication, secure access patterns, and data protection requirements for portals and external users
Experience developing conversational AI solutions, including Copilot Studio agents or comparable technologies
Experience with Dynamics 365 Contact Center or Omnichannel for Customer Service, including contact center capabilities and routing
Experience delivering customer self-service solutions, including Power Pages or other portals and customer-facing chatbots
Familiar with Azure services, including Functions, Service Bus, API Management, and Microsoft Entra ID
Experience supporting enterprise platforms in financial services or another regulated industry, including experience transitioning a platform from an implementation partner and building in-house development capabilities
Clear written and verbal communication skills, with the ability to explain technical decisions and trade-offs to both technical and business audiences
Microsoft certifications preferred, including Microsoft Certified: Dynamics 365 Customer Service Functional Consultant Associate (MB-230), Dynamics 365 Contact Center AI Engineer Associate (AB-250), Power Platform Developer Associate (AB-400), or Power Platform Solution Architect (PL-600)
Benefits
The base salary range for this role is $120,000 to $160,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
X: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Location: San Francisco; New York
Workplace: Hybrid
ABOUT ALCHEMY
Alchemy is the Web3 infrastructure and developer platform that powers millions of users and the world’s most innovative blockchain applications. From enabling $1+ trillion in financial transactions worldwide to scaling L2s and enabling DeFi, Alchemy provides the infrastructure and tools developers need to build reliable, scalable, and accessible experiences.
Trusted by companies like JPMorgan, Stripe, Visa, Franklin Templeton, Nike, and backed by a16z, Coatue, Silver Lake, Lightspeed, and Stanford University, Alchemy is building the foundational layer for a decentralized and AI-enabled Web3 ecosystem. For more information, visit alchemy.com http://alchemy.com.
THE ROLE
We're looking for a hands-on IT leader to build and run the business systems that help Alchemy work. You'll own enterprise applications and their integrations, manage and develop the IT team, and help teams across the company redesign how they work with AI.
This is a player-coach role. You'll configure applications, write integrations, debug workflows, and ship automations yourself. You'll also set priorities, coach engineers, manage performance, and keep day-to-day IT service dependable.
You'll identify recurring manual processes, build automations or agent workflows, and decide which steps need human review. You'll deploy and test those systems and teach the team to maintain them.
WHAT YOU WILL DO
- Own business applications. Lead technical administration and improvement of Salesforce and connected sales tools, People Ops systems such as Rippling and ChartHop, and other business applications as priorities require. Partner with business owners on configuration, data quality, permissions, and technical escalations.
- Build across systems. Write and maintain API integrations, scripts, and workflows that connect applications, reconcile data, and automate employee and business processes. Own testing, monitoring, failure recovery, and documentation.
- Redesign work around AI. Partner with Sales, People Ops, Recruiting, Finance, and Legal to identify workflows worth rebuilding. Deliver agents and automations that can gather context, carry out authorized steps, verify results, and escalate exceptions to the right person.
- Manage the team. Set priorities and expectations, run regular feedback and development conversations, hire, and manage performance. Balance service coverage with project work and make clear tradeoffs when demand exceeds capacity.
- Raise the team's AI capability. Build alongside engineers, review their work, and turn successful approaches into shared tools, skills, and runbooks. Make AI-assisted building and verification part of how the team delivers work.
- Keep IT service reliable. Oversee support quality, onboarding and offboarding, escalations, and operational coverage with the engineers responsible for service desk, identity, endpoints, and office technology. Jump into difficult issues when needed.
- Make automation safe to operate. Partner with Security on least-privilege access, sensitive-data handling, audit trails, and approval boundaries. Use explicit approvals for high-impact actions and provide a way to stop or roll back failed automation.
- Own the application roadmap and spend. Evaluate tools, manage vendor relationships and renewals, and bring application expertise in-house where it improves service or cost. Measure improvements through reliability, turnaround time, manual work removed, and adoption by the teams served.
WHAT WE ARE LOOKING FOR
- Deep hands-on experience administering enterprise SaaS applications and building integrations; strong Salesforce experience and the ability to learn unfamiliar business systems.
- Experience managing technical staff, including coaching, prioritization, hiring, and performance management. You're comfortable staying close to implementation.
- Ability to build and debug with APIs, scripting, and workflow platforms such as n8n or Okta Workflows, with sound practices for testing and production changes.
- Evidence of shipping AI-enabled workflows that other people use. You can explain what you delegated to AI, what you verified, where it failed, and how you improved it.
- Experience helping a team adopt new tools and working practices, including supporting people with different starting skill levels.
- Strong judgment about identity, access, employee data, and business-critical changes. You know when deterministic automation or a human decision is the better choice.
- Ability to translate business needs into technical work, explain tradeoffs, and follow through on operational details.
HELPFUL EXPERIENCE
- Supporting People Ops, Recruiting, Finance, or Legal applications alongside sales systems.
- Employee lifecycle automation, identity integrations, and IT service management.
- Building agent integrations, reusable skills, or evaluation suites with an internal AI platform.
WHAT SUCCESS LOOKS LIKE
- Business systems have clear technical ownership.
- The IT team delivers dependable support and application improvements, with fewer recurring manual tasks.
- Teams across the company use workflows you've helped build, and your engineers can extend and operate them without depending on you for every change.
BENEFITS & PERKS
🏥 Private Health Insurance
💪 Gym Reimbursement
🚅 Commuter Benefits
🌴 Flexible Time Off
🥙 In-Office Group Meals
🧠 Learning & Development Stipend
🌎 Company Sponsored Conferences & Events
🎧 Books & Audiobook subscription with Bookster https://landing.bookster.ro/
Location: New York; San Francisco
Workplace: Hybrid
ABOUT ALCHEMY
Alchemy is the Web3 infrastructure and developer platform that powers millions of users and the world’s most innovative blockchain applications. From enabling $1+ trillion in financial transactions worldwide to scaling L2s and enabling DeFi, Alchemy provides the infrastructure and tools developers need to build reliable, scalable, and accessible experiences.
Trusted by companies like JPMorgan, Stripe, Visa, Franklin Templeton, Nike, and backed by a16z, Coatue, Silver Lake, Lightspeed, and Stanford University, Alchemy is building the foundational layer for a decentralized and AI-enabled Web3 ecosystem. For more information, visit alchemy.com http://alchemy.com.
THE ROLE
We're looking for a Security Operations Engineer to improve how Alchemy detects threats, investigates incidents, and reduces operational security risk. This is a hands-on individual-contributor role with no people-management responsibilities.
You'll investigate suspicious activity and build the systems that make the next investigation faster and more reliable. AI-assisted engineering and investigation should be part of your daily work: connecting evidence, developing detections, building response workflows, and checking the results against source data.
You'll also help the team get better at this work. Through shared tooling, code review, pairing, and practical documentation, you'll give teammates capabilities they can use independently.
WHAT YOU WILL DO
- Detect and investigate threats. Triage alerts, hunt for suspicious activity, and investigate across cloud infrastructure, corporate systems, identity, endpoints, and production environments. Establish what happened from evidence and communicate uncertainty clearly.
- Engineer detection coverage. Build and tune detections, onboard useful telemetry, and maintain reliable log pipelines. Test rules against representative attacks and benign activity; address missing coverage and noisy alerts.
- Respond to incidents. Participate in the security on-call rotation and incident response, including scoping, containment, recovery, and post-incident improvements. Preserve evidence and coordinate changes with system owners.
- Build AI-assisted security workflows. Automate evidence collection, alert enrichment, investigation timelines, and response preparation. Connect agents to approved tools and data sources so they can complete bounded tasks with traceable results.
- Verify before trusting. Evaluate AI-assisted workflows against known cases and adversarial inputs. Require evidence for conclusions, test false-positive and missed-threat behavior, and keep human approval for disruptive containment actions.
- Reduce operational exposure. Partner with Infrastructure and IT on vulnerability remediation, cloud and host hardening, identity controls, and attack-surface monitoring. Prioritize findings by exposure and impact, then verify remediation.
- Help secure agent operations. Work with platform and product-security partners on operational controls for agent identities, credentials, tool access, and audit logging. Investigate misuse and build detections for suspicious agent behavior.
- Improve how the team works. Share reusable code, investigation skills, runbooks, and evaluation cases. Pair with teammates, review automation, and teach approaches they can apply to their own investigations.
- Measure defensive outcomes. Track detection coverage, alert quality, investigation effort, response time, and remediation progress. Use those measures to decide what to improve next.
WHAT WE ARE LOOKING FOR
- Hands-on security operations experience spanning detection engineering, threat hunting, and incident response.
- Strong scripting and software-building ability, especially Python; experience with APIs, version control, tests, and operating automation in production.
- Experience with a SIEM such as Panther, Splunk, or an equivalent platform, including detection logic and log analysis.
- Working knowledge of cloud security, identity, endpoint telemetry, networking, and Linux systems. Ability to investigate across system boundaries.
- Evidence of building and using AI-assisted tools in security or adjacent engineering work. You can show how you validate outputs, handle failures, and protect sensitive information.
- Sound incident judgment: you can separate a hypothesis from a finding, preserve evidence, and choose when to escalate or contain.
- A record of making teammates more effective through tools, mentoring, code review, or documentation, without needing management authority.
- Clear written communication and the willingness to own both urgent investigations and the follow-through that prevents repeat incidents.
HELPFUL EXPERIENCE
- AWS, Kubernetes, bare-metal infrastructure, detection-as-code, or SOAR workflows.
- Digital forensics, threat intelligence, or testing detections through attack simulation.
- Securing AI agents and tool integrations, including prompt injection, credential misuse, and data-exfiltration risks.
- Blockchain infrastructure or other environments with sensitive keys and high-impact production systems.
WHAT SUCCESS LOOKS LIKE
- Investigations reach evidence-backed conclusions faster. Detection coverage improves, repeat noise declines, and remediation is verified. The team adopts tools and workflows you've built, with clear limits on what agents may do and a tested path for handling failures.
BENEFITS & PERKS
🏥 Private Health Insurance
💪 Gym Reimbursement
🚅 Commuter Benefits
🌴 Flexible Time Off
🥙 In-Office Group Meals
🧠 Learning & Development Stipend
🌎 Company Sponsored Conferences & Events
🎧 Books & Audiobook subscription with Bookster https://landing.bookster.ro/
Location: New York, NY; Pittsburgh, PA
Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and even though we've made a lot of headway, we still have work to do — and that’s where you come in!
Our Product Managers (PMs) have ownership over product optimizations and features, from independently run experiments to
major product decisions
. Backed by strong analytical skills and business acumen, and inspired by access to senior leadership and transparency into how they make product decisions, our PMs develop insights that lead to new product ideas and Duolingo’s next beloved feature.
Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.
About the role...
As a Staff Product Manager for our Core App Experience team, you will be responsible for the app-wide systems, states, and shared surfaces that make the app feel coherent for all users. You will partner with peers in engineering and product design to simplify foundational experiences and build frameworks and patterns that make the app easier to use, adapt, and extend.
This role will appeal to you if you enjoy:
Building systems that make the app experience better for 58M+ daily users
Balancing investing for the long-term with launches that make the experience better today
Working with PMs across the company to understand their needs, while still holding a high bar for the overall app experience
Bringing clarity and impact to an ambiguous problem space
🧠 You will...
Own core mechanics, surfaces, and functionality in the app, like user accounts, home messages, and session end
Improve product quality with quick interventions that address acute pain points
Build systems and frameworks that balance the needs for an A+ app experience with individual product teams’ goals
✅ You have...
Built systems and frameworks that improve quality at a major mobile product company
Experience turning a broad mandate into a high-ROI roadmap with a mix of near-term launches and long-term investments
An extremely high bar for quality and the product sense to match
The drive to fix problems you see, even if they don’t fit neatly into your scope
The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role!
Salary Range:
$204,000
—
$306,000 USD
Benefits:
Take a peek at how we care for our employees' holistic well-being with our benefits
here
.
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Accommodations:
We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact
accommodations@duolingo.com
.
Equal Employment Opportunity:
Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Fraud Warning:
Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information.
By applying for this position your data will be processed as per the
Duolingo Applicant Privacy Notice
.
Location: Poland
OUR HIRING PROCESS:
We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our
Privacy Policy
We are looking for a proactive and detail-oriented
General QA Engineer
to help ensure the quality and reliability of our product. In this role, you will combine manual and automated testing, build and maintain scalable Playwright test suites, leverage AI-powered tools to increase efficiency and work closely with engineering and product teams to deliver a seamless user experience.
As part of our team, your responsibilities in this role will include:
Automates validation across UI, APIs, dashboards
Maintains reusable test systems, flakes analytics
Development and maintenance of a suite of e2e/UI tests in Playwright (TS), covering critical user scenarios.
Use of AI in work
Practical use of LLM tools (e.g., ChatGPT, GitHub Copilot/Codeium) to optimize the execution of testing tasks.
Performing manual testing of features (planning, test design, regression, exploratory).
Integration and optimization of test runs in CI (parallelization, stabilization, flakiness metrics).
Setting up reporting and observability for automated tests (traces, video, flake analytics).
Collaboration with engineering and product: requirements clarification, help reproducing defects, and improving testability.
Maintaining the quality of test data and environments.
Our ideal candidate possesses the following skills:
3–5 years in QA, including 1.5+ years in automation using JavaScript/Playwright.
Strong Playwright:
Test Runner, fixtures, projects, parallelization, and sharding.
Auto-wait/locators, stable selectors, working with flakes (timeouts, retries, expect.poll).
BrowserContext/Page, environment isolation, test data management.
Tracing, video/screenshots, network mocking (route), APIRequestContext.
Page Object/Screenplay patterns, project structure, reusability.
AI & No-Code Integration:
Building test workflows in n8n, Zapier, Gumloop.
Use of no-code tools as part of the automated test infrastructure.
AI-Enhanced Testing:
Practical use of LLMs (e.g., ChatGPT, Copilot).
Explore AI QA tools (Testim, Diffblue, CodiumAI, Mabl).
JavaScript/TypeScript at advanced mid-level:
Async/await, promises, modules, TS typing, interfaces, generics.
NPM/Yarn, Node.js scripts, ESLint/Prettier configuration.
API testing: REST, Postman/Swagger.
Browser DevTools: network, storage, cookies, CORS, headers, status codes.
Databases: solid SQL, basic work with test data.
CI/CD and VCS:
Git (branching, PR, code review).
Integration of automated tests into CI (GitHub Actions/Jenkins), artifacts, and reports.
Running tests in containers/headless, dependency management, and caching.
Manual testing:
Requirements analysis.
Creation of all types of test documentation.
Test design techniques.
Types of testing.
English: reading documentation and written communication (Intermediate+).
Ukrainian and/or Russian language proficiency is a must.
What we offer:
Opportunity to shape the backbone systems of a modern, data-driven digital company
A collaborative, innovation-first environment that values initiative and experimentation
Reduced working hours on Fridays during the summer
Days off on US national holidays and your birthday
Schedule: Monday–Friday, 1 PM – 9 PM EET (including 1 hour break)
Why join us?
You’ll be at the intersection of technology, process innovation, and business growth – building systems that empower our teams to work smarter, faster, and more collaboratively. If you’re a strategic thinker who loves turning complexity into clarity and ideas into scalable solutions, we’d love to meet you.
Location: Abu Dhabi, UAE
About Us
Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance.
Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution.
Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.
Role Overview
Own the full lifecycle of our fiat risk control products, covering fraud prevention and AML across high-frequency fiat deposit, withdrawal, and payment flows. The focus is on the underlying risk mechanisms: how transactions are screened, scored, held, and released in real time. Combine risk insight with business needs to plan, design, iterate, and optimize an efficient, intelligent risk control system that protects the platform without adding unnecessary user friction.
Key Responsibilities
Risk Mechanism & Product Design
Own the roadmap for fiat and payment risk control systems, including transaction monitoring and fraud detection
Design and iterate on core mechanisms such as rule engines, decision flows, risk tiering, holds and releases, and automated interdiction
Define the logic behind risk parameters (limits, velocity thresholds, triggers, escalation paths) and balance risk coverage against user friction
High-Frequency Transaction Risk
Design controls that operate under high concurrency and strict latency requirements across fiat on/off-ramp, card acquiring, card issuing, and payment transaction risk control
Work with Engineering on real-time data pipelines, rule execution performance, fallback and degradation strategies, and stability under peak load
Detect and close gaps around abnormal patterns such as velocity abuse, account takeover, card fraud, chargebacks, mule accounts, and structuring
AI-Powered Risk Control Capabilities
Use AI to improve user conversion rates and reduce blockers in risk control flows
Optimize risk-related communications delivered to customers during transactions
Use AI to proactively guide users through document submission and identity verification, helping them resolve account restrictions or blocks imposed by risk controls
Requirement Analysis & Product Planning
Explore risk control requirements across business scenarios; combine industry trends and company strategy to set long-term plans and short-term iteration goals
Produce high-quality PRDs that define functionality, performance, security, and other standards
Delivery & Cross-functional Collaboration
Lead prototype design and implementation; coordinate Technology, Data, Compliance, and Operations to deliver on time and at quality
Communicate the value and usage guidelines of risk products, answer questions, and ensure risk strategies are implemented effectively across business lines
Translate AML requirements into product capabilities, including transaction monitoring scenarios, sanctions and watchlist screening, and suspicious activity workflows
Support audit and regulatory inquiries with clear documentation of risk logic
Data Analysis & Optimization
Continuously monitor product data and evaluate the effectiveness of risk strategies and product features
Define metrics (false positive rate, interception rate, fraud loss rate, case handling time, decision latency) and drive data-based iteration
Run back-testing and A/B validation before rule or model rollout
Build feedback loops between case management, operations, and strategy tuning; support incident handling, root cause analysis, and post-incident reviews
Requirements
Bachelor's degree or above in Computer Science, Mathematics, Statistics, Finance, Engineering, or a related field
3+ years of experience in risk control product design, with familiarity with the risk control processes of at least one field such as payments, credit, or e-commerce; experience in high-volume transaction environments strongly preferred
Has led complete risk control product design and launch projects
Hands-on experience in risk strategy formulation, model building, and rule engine design
Solid understanding of fraud and AML mechanisms: rule engines, risk scoring, transaction monitoring, sanctions screening, and real-time decisioning
Familiarity with fiat payment flows, including card schemes (Visa/Mastercard), bank transfers, chargebacks, and payment fraud typologies
Familiar with risk control technologies and tools (risk models, anti-fraud systems, decision engines) and the application of machine learning in risk control
Strong data analysis skills: SQL and Python for data extraction, analysis, and visualization
Able to discuss system design (latency, throughput, data consistency) credibly with engineers
Familiar with financial regulations and regulatory policies, with a strong sense of compliance
Strong logical thinking, problem-solving, communication, and coordination skills; able to drive alignment with Compliance and Operations
Rigorous and responsible, with strong stress resistance in high-pressure environments
Fluent English; Mandarin is a plus
Nice to Have
Experience at a crypto exchange, bank, payment company, or fintech
AI knowledge is a plus for this role
Knowledge of AML regulatory frameworks (FATF, MiCA, PSD2) is a plus
Why Join Us
At Bybit, we are committed to fostering a supportive and enriching work environment.
Our benefits include:
- Study Growth Fund: We support your professional development and continuous learning.
- Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation.
- Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world.
- Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company.
- Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.
Location: Beograd, Serbia; Europe
Workplace: hybrid
About The Role:
We are looking for a technical analyst to join our FinCrime team as one of the owners of our rules framework, KPI and activity tracking, and the continuous improvement of our detection capabilities.
You will identify gaps, propose solutions, and drive them to delivery alongside Product, Compliance, Network and Engineering, keeping us ahead of bad actors without hurting speed or user experience.
What you'll co-own
Rules lifecycle:
design, build, test, tune and retire fraud and AML/TF detection rules, from hypothesis through backtesting and deployment to performance review.
KPI framework:
define, build and maintain metrics for detection effectiveness, false positives, losses, alert volumes and operational productivity.
Activity tracking:
reporting on rule changes, alert handling and team throughput, with dashboards that stakeholders actually use.
Detection improvement:
proactively find new typologies, data signals and controls, and turn them into live rules or models.
What you'll do
Build and improve detection logic:
translate fraud and financial crime typologies into rules; use SQL and Python to backtest, simulate and measure impact before release.
Monitor and analyze:
track real-time and batch transaction data, spot anomalies and emerging attack patterns, and run deep-dives on loss drivers and rule performance.
Drive automation:
replace manual analysis and reporting with scalable pipelines, scheduled jobs and self-serve dashboards.
Collaborate as a partner:
Product and Engineering:
define requirements, data needs and system enhancements.
Compliance:
make sure detection meets AML/TF, KYC and regulatory expectations, and support audits and partner due diligence.
Network:
align on Visa and Mastercard program requirements, thresholds and monitoring.
Operations:
use investigation feedback to refine rules and reduce noise.
Support regulatory compliance:
stay current on AML regulations, PSD2/SCA, and card scheme rules, and help embed them into controls.
Take responsibility and escalate:
document decisions and rule rationale clearly, and escalate material risks early.
What You’ll Need To Be Successful In This Role:
Experience in fraud or financial crime analytics, ideally in fintech, payments or high-volume B2C.
Proven hands-on experience with rule-based detection: designing, tuning and evaluating rules, with clear trade-off thinking (catch rate vs. false positives vs. customer friction).
Advanced SQL and experience with modern data platforms and large-scale data processing (distributed frameworks such as Spark or similar).
Python for analysis and automation (pandas, notebooks, scheduled workflows), including experience working with large datasets.
Solid understanding of fraud typologies and AML/TF concepts, and awareness of emerging trends.
Knowledge of Visa and Mastercard tools, data and monitoring programs (AVS, 3DS, chargeback and fraud programs).
Practical knowledge of payment methods (cards, tokenization, Apple Pay, Google Pay, etc.).
Experience building dashboards in a BI tool (Looker, Tableau, Power BI or similar).
Ownership mindset: you spot problems, propose solutions and see them through without waiting to be asked, while working as part of a team.
Clear communication and documentation, able to explain data-driven decisions to technical and non-technical stakeholders.
Nice to have
Experience with rules engines or decisioning platforms and expression-based rule logic.
Experience with advanced methods for anomaly detection (statistical, unsupervised or machine learning approaches) and applying them to fraud or financial crime use cases.
Familiarity with how financial crime operations run day to day.
Experience working with auditors or regulators, or supporting regulatory reviews and partner due diligence.
What you'll achieve
First 3 months
Understand our products, detection framework, rules engine and data landscape.
Learn our KPIs, tooling and key fraud and AML patterns.
Build relationships across Product, Compliance, Engineering and Operations.
Take responsibility for a first set of rules and ship your first tuning improvements.
By 6 months
Co-own the end-to-end rules lifecycle for your portfolio, with documented performance reviews.
Launch a reliable KPI and activity tracking suite.
Deliver your first automation that removes recurring manual work.
By 12 months
Be a key contributor and owner for detection effectiveness and reporting.
Deliver measurable gains in loss reduction, false positive rate or operational efficiency.
Have introduced new detection approaches and automation that strengthen our compliance posture.
Why Join Paysend?
Make a Global Impact:
Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally.
Own Meaningful Outcomes:
We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand.
Grow with Us:
As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies.
Collaborate with Exceptional People:
Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers.
Move Fast and Make Things Happen:
We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results.
Be Part of Our Journey:
We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.
Location: Madrid, Spain; Barcelona, Spain
Workplace: hybrid
TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization.
We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact?
Responsibilities
As Enterprise Account Manager for
Spain
, you will own a defined portfolio of TeamViewer’s existing enterprise customers in the Spanish market, focusing on accounts spending
€10K or more in annual recurring revenue
.
You will be the primary commercial owner of your accounts, responsible for developing strategic customer relationships, driving renewals and identifying opportunities to expand TeamViewer’s footprint. You will own your account strategy and commercial forecast, working closely with customers and internal teams to protect and grow recurring revenue.
This is a
farming-focused role
. New-logo acquisition sits primarily with our Account Executive team, while your focus will be on developing the customers we already have through retention, renewals, cross-sell and expansion.
What you will do
Own a portfolio of up to
40 enterprise accounts at €10K+ ARR
, with accountability for retention, renewals and expansion.
Build and maintain strategic account plans for key customers, including stakeholder maps, renewal timelines, adoption status, expansion opportunities and potential risks.
Proactively manage renewals across your portfolio, engaging customers well ahead of contract end dates, developing a clear value narrative and negotiating commercial terms, including multi-year agreements.
Identify, qualify and close expansion opportunities across additional seats, products and use cases through a consultative, solutions-focused approach.
Build trusted relationships across multiple levels within customer organisations, engaging IT decision-makers, business stakeholders and senior leadership.
Maintain an accurate weekly forecast covering renewals and expansion opportunities, with clear stages, next steps and expected close dates in Salesforce.
Take ownership of qualified opportunities handed over from the Enterprise Account Specialist team as customers grow into the enterprise segment, while ensuring smaller opportunities are routed appropriately.
Partner with Enterprise Solution Engineers on technical validation and solution design, and collaborate with Customer Success and Support to resolve issues that may put customer retention at risk.
Work effectively with partners, distributors and resellers on customer opportunities procured through the channel.
Bring customer and Spanish market insights back to Product, Marketing and leadership, and contribute to customer references, case studies and events.
What Success Looks Like
Gross and net revenue retention at or above target across your portfolio.
Achievement of your expansion target, supported by a healthy and accurately forecast pipeline.
Every strategic account has an up-to-date account plan and a clearly understood renewal path, with risks identified early and proactively managed.
Strong relationships with decision-makers and influencers across your key enterprise customers.
Clean handovers and collaboration between Account Executive, Enterprise Account Specialist, Customer Success and technical teams, ensuring opportunities and customer needs do not fall between roles.
What you will bring
3+ years of experience in enterprise account management, renewals or customer-facing sales focused on existing customers, ideally within SaaS, software or technology.
A proven track record of retaining and expanding an existing book of business against commercial retention and growth targets.
Experience owning commercial renewals and identifying and closing upsell and cross-sell opportunities within enterprise customers.
Strong commercial and negotiation skills, including experience navigating procurement processes and structuring agreements within mid-sized and large organisations.
A consultative, solutions-focused sales approach with the ability to understand customer challenges and connect technology solutions to business value.
Confidence engaging a range of stakeholders, from operational and technical contacts through to senior decision-makers and executives.
Strong account-planning and stakeholder-mapping skills, with the ability to develop relationships across complex customer organisations.
A disciplined approach to forecasting, pipeline management and CRM hygiene, ideally with experience using Salesforce.
Fluency in Spanish and English, both written and spoken
, with the ability to conduct customer and internal conversations confidently in both languages.
Excellent communication, presentation and relationship-building skills.
An entrepreneurial mindset with the ability to take ownership, work independently and succeed in a rapidly changing, international environment.
What we offer
Onsite onboarding in our HQ office for an optimal start.
Great compensation and benefits packages, including a company achievement bonus or sales bonus and regular salary reviews.
Premiums for the private pension plan (BAV) topped up to the maximum amount by TeamViewer.
Public-transport-friendly offices.
Option to lease an e-bike in Germany.
Special terms for local gyms.
Access to the Corporate Benefits platform with a wide range of discounts.
Regular team events and company-wide celebrations.
An open-door policy, no dress-code rules, frequent All Hands and Leadership Lunches.
Hybrid working and flexible working time.
Work From Abroad Program allowing up to 40 days of work outside your contracting country.
We celebrate diversity as one of our core values. Join and help drive one of our C-A-R-E initiatives.
TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.
If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.
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
The Discovery team at Anthropic is organized around the north star goal of building an AI scientist – a system capable of solving the long-term reasoning challenges and basic capabilities necessary to push the scientific and technological frontier.
We're expanding our work on engineering and the applied sciences. Our goal is to contribute to training Claude to invent, design, and engineer across every discipline and scale, reliably and safely: new manufacturing and experimental techniques, processes, materials, devices, instruments, machines, energy systems, and factories. We want this work to accelerate science and technology and benefit people widely.
To achieve these goals, we're seeking exceptional machine learning researchers with deep expertise in training and evaluating frontier models. In this role, you'll work end to end across the model stack, developing training environments, rewards, data, and evaluations that measure and improve Claude's performance on complex engineering and scientific tasks, and carrying what works into production training runs. You'll collaborate closely with researchers, engineers, and partners across Anthropic and industry to build AI systems that can engage in all phases of research and development, and that learn from real-world feedback. A background in engineering or the sciences is a plus but not required.
Key responsibilities
Design, build, and study reinforcement learning environments, rewards, and training data that improve Claude's capabilities in engineering and the applied sciences
Create benchmarks and evaluation frameworks that measure model performance on realistic engineering and scientific workflows
Develop simulation-based training environments and verifiers, working with domain experts to validate them against real-world data
Develop approaches to long-horizon task completion, multi-agent collaboration, and complex reasoning essential for real engineering and research work
Research how models can learn efficiently from experiments and real-world feedback
Study how environments and rewards behave in large-scale training, including robustness, calibration, and generalization, so that training produces models that are both capable and well aligned
Scale research ideas from prototype to production training runs
Collaborate with domain experts and industry partners to build and test what Claude invents, designs, and engineers, and turn that feedback into training and evaluation signal
Help chart how Claude’s engineering capabilities reach real-world use: where they matter most, what stands in the way of adoption, and how that should shape research priorities
Minimum qualifications
Proficiency in Python and hands-on experience with a modern machine learning framework such as PyTorch or JAX
Hands-on experience training or evaluating machine learning models
Track record of machine learning research: forming hypotheses, designing and running experiments, and drawing sound conclusions from the results
Ability to implement your own research ideas and diagnose problems in complex systems
Ability to learn unfamiliar technical fields quickly and work productively with experts in them
Clear communication and a collaborative approach to solving problems
Excitement about improving Claude’s scientific capabilities and the downstream impact on science and technology
Commitment to developing AI that is safe and beneficial
Preferred qualifications
Experience with reinforcement learning and pre-training on large language models, including environment and reward design
Familiarity with large-scale language model training, evaluation, and inference pipelines
Published research or practical experience in AI for science or engineering, or in long-horizon reasoning
A degree or work experience in an engineering or applied science discipline, such as mechanical, electrical, materials, chemical, aerospace, systems, or manufacturing engineering, applied physics, or computational simulation
Experience building simulators, surrogate models, or simulation-based environments and verifiers, and calibrating and validating them against real-world data
Experience with large-scale data pipelines and technical or multimodal datasets
Demonstrated ability to work across multiple domains, such as language modeling, systems engineering, and scientific computing
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$500,000
—
$850,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: Remote, USA
Workplace: remote
Job Title:
Principal Product Manager, Revenue Cycle Management
Location:
USA - Remote
**Travel to Office expectations**
For Remote Roles
: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out
Life at PointClickCare
and connect with us on
Glassdoor
and
LinkedIn
.
Team Overview:
The Revenue Cycle Management team is rebuilding the foundational capabilities that support financial workflows across PointClickCare, including the financial record, census, payer management, and transaction processing. The team partners closely with Engineering, User Experience, Technical Writing, platform product teams, Legal, Compliance, Marketing, Sales, Customer Success, Support, customers, and industry partners to create connected, accurate data foundations that enable workflow automation and financial intelligence.
Key Responsibilities:
As Principal Product Manager, Revenue Cycle Management, you will own the strategy, roadmap, and outcomes for the RCM portfolio in senior care. You will lead the ground-up rebuild of foundational capabilities, translate deep customer insight into solutions, and guide complex products from discovery through delivery. You will connect product strategy to measurable customer and business outcomes, optimize time to value and return on investment, and evangelize the roadmap with executive stakeholders and customers.
Key Responsibilities:
Own the RCM problem space, product strategy, multi-year roadmap, and measurable outcomes for the financial record, census, payer management, and transaction foundations.
Build investment cases, quantify expected return, define success metrics, make prioritization trade-offs explicit, and adjust plans based on customer insight and performance data.
Represent current and future users by conducting qualitative and quantitative discovery, analyzing revenue cycle workflows, and identifying upstream opportunities across census, payer changes, referrals, and prior authorizations.
Partner with Engineering, User Experience, Technical Writers, and product teams using agile practices and Design Thinking to turn ambiguous, high-impact problems into valuable, feasible increments.
Define the connected data foundation needed for financial intelligence and workflow automation, and use AI tools responsibly to accelerate research, documentation, analysis, and prototyping in a healthcare environment.
Drive adoption and go-to-market success with Marketing, Sales, Customer Success, Support, and other partners, including positioning, launch readiness, training, packaging and pricing input, and adoption tracking.
Inspire, energize, and align cross-functional teams around a clear product vision and customer outcomes.
Required Skills & Experience:
10+ years of product management or product ownership experience, with a track record of shipping software that customers adopt and value.
Bachelor’s degree or higher in business, computer science, or a healthcare-related field, or equivalent experience
Health tech experience, ideally involving financial or revenue cycle workflows. Prior RCM experience is not required.
Experience owning or significantly shaping a foundational capability, data domain, or shared system used by multiple products or teams, combined with customer-facing product experience.
Strong discovery skills across interviews, workflow analysis, usage data, and experimentation, with evidence that direct customer insight has shaped roadmap decisions.
Experience owning a roadmap and defending prioritization decisions, including decisions about what not to build.
Ability to work with engineers on data, integration, and migration trade-offs and explain the customer impact of technical decisions.
Hands-on experience using AI tools to improve work quality, speed, or outcomes, with sound judgment regarding accuracy, data privacy, and compliance.
Curiosity, a willingness to challenge the status quo, and the ability to navigate ambiguity in a complex, fast-paced environment.
Excellent written and verbal communication skills, with the ability to simplify complex topics for customers, engineers, and executives.
Preferred Experience:
Familiarity with financial transactions, ledger or billing data, census, payer changes, referrals, or prior authorization data.
Experience with platform product management or close partnership with a platform team.
Experience in a health technology SaaS business.
At PointClickCare, base salary is one of the many components that make up our total rewards package. The US base salary range for this position is
$155,900 - $194,900
+ bonus + benefits, non-overtime eligible. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all US locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.
PointClickCare Benefits & Perks
Benefits starting from Day 1
Retirement Plan Matching (RRSP & 401K)
Flexible Paid Time Off
Lifestyle/Wellness Spending Account
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Learning Programs & Resources
Employee Recognition … and more!
Equal Employment Opportunity:
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations.
When you apply for a position, your information is processed and stored with Lever, in accordance with
Lever’s Privacy Policy
. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team:
recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
#LI-Remote
Location: New York; United States
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
ElevenLabs is building one of the world's fastest-growing AI companies - and we're looking for a GTM Recruiter to partner with our Revenue org. You'll run full-cycle recruiting across our high volumes roles, partnering with leaders across our Sales Development, Corporate, Mid-Market, and Partnerships team to hire world class talent.
This isn't a conventional recruiting role. You'll work alongside GTM leaders to shape role strategy, design world class candidate experiences, and close exceptional talent across North America. You know what great looks like in a Revenue org - whether from building GTM teams at exceptional tech companies or from your own experience exceeding hiring goals. This role is centered around high ownership, making data driven decisions, and building hiring processes and pipelines that scale.
WHAT YOUR DAY MIGHT LOOK LIKE
- Full-cycle recruiting for a broad range of GTM roles including Sales Development Representatives, Account Executives, and Revenue Partnerships.
- Partnering closely with GTM leadership to refine role requirements, set hiring strategy, and identify key success signals that elevate quality of hire.
- Designing and managing candidate pipelines with a focus on efficiency, transparency, and a white glove, high touch experience.
- Acting as a trusted advisor to hiring teams, providing market insights, role benchmarks, and data-driven recommendations.
- Representing ElevenLabs externally - every interaction with candidates is an opportunity to bring our brand and values to life.
REQUIREMENTS
- Full-cycle GTM recruiting experience for a high growth startup, with a strong track record closing quota-carrying roles across Sales roles.
- Able to manage high volume and complex searches across multiple priorities without sacrificing quality or urgency.
- Strong partner to hiring leaders - you influence with clarity, data, and operational rigor.
- Exceptional communicator - you craft compelling role narratives and deliver a high-touch experience for candidates and stakeholders alike.
- Preference for this role to be based in New York City.
LOCATION
This role is remote-first, so it can be executed from anywhere, with candidates based in New York City strongly preferred. If you prefer, you can work from our New York office.
#LI-Remote
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: London, United Kingdom - Deliveroo
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
About the Role
There’s a lot behind a morning coffee order. You could be part of it.
A local café, a courier on the way and a customer ready to start their day. At Deliveroo, we connect people with the food, shops and products they love.
As a Graduate Product Designer, you’ll work at the intersection of data, design, and engineering, helping define how millions of people experience Deliveroo and turning complex marketplace challenges into simple, high-impact solutions. This is a full-time role based in our London HQ.
What You’ll Be Doing
You’ll be joining one of our core teams: Consumer, Merchant, Dasher, Ads & Promos, or Customer Experience & Integrity. You’ll work on real projects that impact millions of customers, merchants, and Riders, collaborating with Product, Research, Data, and Engineering to prototype your concepts, test with real users, and ship improvements to millions of people.
You’ll learn from designers shaping this new practice - one where AI is native to how you explore ideas, prototype, and ship.
You’ll grow faster than you thought possible - with a dedicated manager, a mentor, and a team invested in your development, you’ll quickly grow to own design end-to-end.
You’ll experiment with how AI can change the way you work and design processes, and ship polished features that reach millions of users, merchants, and Riders.
You’ll use AI to explore divergent directions, build high-fidelity prototypes, and pressure-test ideas before they ship, leveraging this technology to help you shape how our product becomes smarter, more intuitive, and more human.
You’ll have the opportunity to push the boundaries of our product and process. As part of an early class of new graduates, what you figure out won’t just shape your own projects - it’ll shape how design is practiced across the team.
You’ll refine your craft with mentors and peers in a fast-paced, mission-driven environment that values curiosity, craft, and collaboration.
You’ll collaborate closely with designers, engineers, PMs, and researchers to find the right problems to solve and ensure high-quality implementation.
What You’ll Need to Thrive
We’re looking for strong design foundations and curiosity to grow. Here’s what you’ll need to join us and thrive in the role:
You’re in your final year of study, graduating with a Bachelor’s or Master’s degree in design or a technology-related field (e.g. Human-Computer Interaction, Interaction Design, Computer Science, Digital Design, Industrial Design, etc) and available to start full-time in 2027.
You have a portfolio (school, internships, or side projects) that shows strong design fundamentals - visual design, interaction design, and user-centered problem solving.
AI is already part of your process and your portfolio includes at least one case study showing how you applied AI in your design process or designed an AI-powered experience.
You communicate through prototypes - using Figma alongside AI-driven tools (e.g., Cursor, Claude Code) to turn ideas into working experiences quickly.
You’re excited to learn, comfortable making decisions or asking for help, and able to iterate quickly as you incorporate feedback.
Why Join Us?
At Deliveroo, you’ll do work that matters - solving real-world problems in a three-sided marketplace that’s constantly evolving. You’ll be paired with a dedicated manager and a mentor while being supported by a community of designers passionate about learning and helping each other grow.
We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to:
🔧 Solve meaningful problems at real scale
Work on a complex, always-on marketplace that impacts millions every day.
🌱
See your impact, fast
Ship, test and improve ideas quickly in a low-hierarchy, high-ownership
environment.
🧠Grow through challenge and ownership
Take on big, ambiguous problems and accelerate your career with strong support.
🌎A culture built for builders
High standards, collaboration, flexible working and continuous learning.
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
Location: Ukraine
Workplace: remote
Creatio is a global vendor of an agentic CRM & workflow platform with no-code and AI at its core. We help organizations automate customer and operational workflows, achieving the fastest time-to-value and the highest ROI on the market. Millions of workflows run on Creatio daily, supporting thousands of clients in over 100 countries. Genuine care for our clients and partners is at the heart of our DNA.
We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.
In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.
Who We're Looking For:
We're looking for a Product Owner to join our newly established team focused on voice and video communication within Creatio.
You'll help shape how customers connect with businesses through voice and video calls, and how companies manage these interactions directly within the Creatio platform.
Our team focuses on two key product areas:
Web-based voice and video communication: Enabling customers to initiate voice or video calls directly from a company's web chat widget, with no phone involved, with features such as screen sharing, AI avatars (a visual AI assistant the customer talks to), and seamless handovers from AI assistants to live agents.
Telephony and contact center integrations: Connecting existing business phone and contact-center systems with Creatio, allowing agents to manage calls, access customer information, and track communication history in one place, and admins to set it all up easily.
You'll work closely with engineering teams and collaborate with teams developing Creatio's AI agents and other communication channels to deliver seamless, intelligent customer experiences.
Responsibilities:
Talk to clients, partners, and our sales teams to understand how their contact centers work and what they need. Clients often ask for a feature; your job is to find the real problem behind it.
Shape the product vision and roadmap for the area, and set priorities based on real client demand.
Turn ideas into clear goals, user stories, and acceptance criteria the team can build from.
Build quick prototypes with AI coding agents to check an idea with clients before the team commits to it.
Work every day with the development team: plan sprints, answer questions, accept finished work.
Agree scope and timelines with the neighbouring product teams.
Support pre-sales: demos, client questions, written answers on what the product can do and when.
Look at how features are used after release and what clients complain about, and feed that back into the plan.
Requirements:
3+ years as a Product Owner or Product Manager on a B2B product.
Solid technical understanding: you know how modern software and integrations work, can talk with engineers as a peer about how a solution should be built, and follow new technologies closely enough to spot the capabilities we could use in the product. You will not write code.
Learns new domains fast and enjoys it. You do not need to know contact centers or telephony already; you need to want to dig in and become the person the team asks.
Flexible and proactive: comfortable when priorities shift, takes initiative without waiting to be told.
Experience talking to clients directly and turning what they say into product requirements.
Builds working prototypes with AI coding agents (Claude Code, Cursor, Codex, or similar) to test ideas and show them to clients and the team, and uses AI tools in everyday product work.
Upper-Intermediate+ spoken English: you lead calls with clients and partners on your own, handle questions on the spot, follow different accents, and discuss and negotiate scope.
What to expect from us:
Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Location: Poland
Workplace: remote
Creatio is a global vendor of an agentic CRM & workflow platform with no-code and AI at its core. We help organizations automate customer and operational workflows, achieving the fastest time-to-value and the highest ROI on the market. Millions of workflows run on Creatio daily, supporting thousands of clients in over 100 countries. Genuine care for our clients and partners is at the heart of our DNA.
We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.
In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.
Who We're Looking For:
We're looking for a Product Owner to join our newly established team focused on voice and video communication within Creatio.
You'll help shape how customers connect with businesses through voice and video calls, and how companies manage these interactions directly within the Creatio platform.
Our team focuses on two key product areas:
Web-based voice and video communication: Enabling customers to initiate voice or video calls directly from a company's web chat widget, with no phone involved, with features such as screen sharing, AI avatars (a visual AI assistant the customer talks to), and seamless handovers from AI assistants to live agents.
Telephony and contact center integrations: Connecting existing business phone and contact-center systems with Creatio, allowing agents to manage calls, access customer information, and track communication history in one place, and admins to set it all up easily.
You'll work closely with engineering teams and collaborate with teams developing Creatio's AI agents and other communication channels to deliver seamless, intelligent customer experiences.
Responsibilities:
Talk to clients, partners, and our sales teams to understand how their contact centers work and what they need. Clients often ask for a feature; your job is to find the real problem behind it.
Shape the product vision and roadmap for the area, and set priorities based on real client demand.
Turn ideas into clear goals, user stories, and acceptance criteria the team can build from.
Build quick prototypes with AI coding agents to check an idea with clients before the team commits to it.
Work every day with the development team: plan sprints, answer questions, accept finished work.
Agree scope and timelines with the neighbouring product teams.
Support pre-sales: demos, client questions, written answers on what the product can do and when.
Look at how features are used after release and what clients complain about, and feed that back into the plan.
Requirements:
3+ years as a Product Owner or Product Manager on a B2B product.
Solid technical understanding: you know how modern software and integrations work, can talk with engineers as a peer about how a solution should be built, and follow new technologies closely enough to spot the capabilities we could use in the product. You will not write code.
Learns new domains fast and enjoys it. You do not need to know contact centers or telephony already; you need to want to dig in and become the person the team asks.
Flexible and proactive: comfortable when priorities shift, takes initiative without waiting to be told.
Experience talking to clients directly and turning what they say into product requirements.
Builds working prototypes with AI coding agents (Claude Code, Cursor, Codex, or similar) to test ideas and show them to clients and the team, and uses AI tools in everyday product work.
Upper-Intermediate+ spoken English: you lead calls with clients and partners on your own, handle questions on the spot, follow different accents, and discuss and negotiate scope.
What to expect from us:
Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Location: Remote (United States | Canada)
Workplace: Remote
1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing.
About 1Password
At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work.
If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future.
We are hiring an Engineering Manager to lead the Device Trust Platform team, the group responsible for the lower-level platforms that power 1Password Device Trust and that will, over time, underpin Device Security and the broader 1Password security platform. These systems ingest, process, and store a high volume of telemetry from the devices our customers depend on. Our customers expect this to work with Tier 0 reliability: the services this team owns are always on, and when something fails, it fails over without anyone noticing.
This is an end-to-end team responsible for the data pipelines, storage systems, and infrastructure that keep the product reliable at scale, as well as the application code that runs on top of them. You will lead a group of senior and staff engineers who are already deep in this architecture, and you will grow the team over time, adding engineers as the platform's scope expands and onboarding new hires into a team with high operational standards.
You will be responsible for the resiliency and reliability of our applications. That means owning availability targets, incident response, capacity, and the architectural decisions that keep a multi-region system honest. It also means running a healthy engineering team: planning, design reviews, career growth, and hiring. The role reports to the Senior Manager, Engineering for Device Trust.
How we’re using AI today
Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers.
This is a remote opportunity within Canada and the US.
What we're looking for:
- 3+ years managing and mentoring software engineering teams, including senior and staff engineers, with a track record of engineers growing in scope and seniority under your leadership.
- A strong background in the infrastructure behind highly reliable, high-volume data systems: ingestion pipelines, streaming or queueing systems, large datastores, and the operational tooling around them.
- Hands-on experience operating multi-region systems with failover and redundancy, and owning availability for a service customers treat as critical: SLOs, incident response, postmortems, and the follow-through that keeps incidents from recurring.
- Experience owning production observability: instrumentation, dashboards, alerting, and using telemetry to drive reliability and capacity decisions. Datadog experience is strongly preferred.
- Significant hands-on development experience and strong technical judgment: you can review the code your team writes and partner with staff engineers on architecture and system design.
- Demonstrated success leading a hybrid team that spans infrastructure and application engineering on one roadmap.
- A leadership style grounded in empowering the team: you set direction, clear the path, and defer to the engineers closest to the problem, staying calm and structured under pressure.
- Excellent communication with technical and non-technical stakeholders, including explaining reliability risk and trade-offs to product and leadership partners.
Bonus points for:
- Experience with Ruby on Rails applications at scale, or with Go services and agent-based data collection.
- Experience with osquery, endpoint telemetry, or other device-data pipelines.
- Experience running Kubernetes-based platforms on AWS or another major cloud, including infrastructure-as-code.
- Experience managing remote and distributed teams.
- Experience building systems that balance rapid iteration with enterprise-grade security and compliance requirements.
- Deep experience with Datadog, including APM, log management, custom metrics, and SLO-based monitoring.
What you can expect:
TEAM LEADERSHIP
- Lead, coach, and grow a team of senior and staff engineers who own the platform layer of Device Trust, measuring your success by the team's success rather than your own visibility.
- Hire, onboard, and integrate new engineers as the team grows and as Device Security and other 1Password products come to depend on these platforms.
- Give engineers room to design the solutions they believe are right for customers, while holding them accountable to outcomes. The team closest to the problem makes the technical call; you make sure they have the context, time, and support to make it well.
- Spend your time listening and removing obstacles: unclear priorities, missing context, cross-team dependencies, and process that slows the team down. Advocate for the team's needs with leadership and partner teams.
- Support career development through regular feedback, mentorship, and growth planning, including the path from senior to staff.
- Foster a culture of ownership, trust, and psychological safety, where incidents produce learning rather than blame, and lead by example on transparency, follow-through, and humility.
RELIABILITY AND OPERATIONS
- Own the reliability and resiliency of Device Trust applications and the platforms beneath them, against a Tier 0 expectation from customers.
- Define and maintain SLOs, error budgets, and the monitoring and alerting that make them meaningful.
- Lead the on-call program for the team: rotation design, escalation paths, and runbooks that let any engineer respond with confidence.
- Run incident response and blameless postmortems, and drive remediation work to completion.
- Plan and execute multi-region failover, disaster recovery, and capacity work, and verify it with regular exercises rather than assumptions.
OBSERVABILITY
- Own observability for the Device Trust platform as a product in its own right: metrics, logs, traces, and the dashboards, monitors, and SLOs built on them in Datadog, our observability platform.
- Continue the work already underway on the team to instrument services end to end, so that latency, throughput, error rates, and data freshness are visible per customer, per region, and per pipeline stage.
- Make the health of the platform legible to people outside the team, including support, product, and leadership, through dashboards and status reporting that answer "is it working" without an engineer in the loop.
- Treat alert quality as an engineering problem: reduce noise, tie alerts to SLOs, and ensure every page has a runbook and an owner.
- Use observability data to drive capacity planning and to find reliability risk before it becomes an incident.
TECHNICAL DIRECTION
- Partner with staff engineers to evolve the data ingestion, processing, and storage architecture so it scales ahead of customer growth.
- Set the technical direction for how these platforms generalize to serve Device Security and future products, not only Device Trust.
- Maintain a high bar for performance, security, and data integrity in a security-first enterprise environment.
- Identify and mitigate risks introduced by architectural change, migrations, and new dependencies before they reach production.
DELIVERY AND PLANNING
- Scope, plan, and drive execution of platform initiatives with the team, balancing reliability investment against feature work.
- Coordinate cycle planning, design reviews, and project planning so the team ships predictably.
- Cascade priorities, progress, and risk to stakeholders across Device Trust and partner teams, keeping roadmaps transparent.
- Contribute to cross-team and departmental initiatives that raise the reliability bar across the engineering organization.
USA-based roles only: The annual base salary for this role is between $192,000 USD and $278,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
Canada-based roles only: The annual base salary for this role is between $171,000 CAD and $248,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.
This posting is for an existing vacancy.
Our culture
At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first.
You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results.
How we work with AI
We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password.
This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others.
Our approach to remote work
We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events.
What we offer
We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer:
Health and wellbeing
👶 Maternity and parental leave top-up programs
🩺 Competitive health benefits
🏝 Generous PTO policy
Growth and future
📈 RSU program for most employees
💸 Retirement matching program
🔑 Free 1Password account
Community
🤝 Paid volunteer days
🏆 Peer-to-peer recognition through Bonusly
🌎 Remote-first work environment
*Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting.
You belong here.
1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.
Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs.
Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you.
Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law.
1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.
Location: London, United Kingdom
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
In a rapidly evolving world, trust in AI depends on agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible.
We’re looking for an experienced Data Analyst who has built evaluation systems for complex technology products and is excited to take end-to-end ownership of quality in search built for AI agents.
This role combines hands-on engineering, analytical judgment, and mathematical rigor, with the scope and influence to shape both technical decisions and product direction. We move at a startup pace, with plenty of open questions and difficult problems to solve.
In this position, you will:
• Own the quality measurement and improvement cycle end-to-end: identify user needs, define success, build evaluations, diagnose failures, and work with engineers and product managers to improve outcomes..
• Design, build, and evolve evaluation systems, including datasets, benchmarks, metrics, and automated pipelines that support development and launch decisions..
• Evaluate response quality across multiple dimensions, including relevance, completeness, freshness, factual accuracy, and usefulness to downstream agents..
• Investigate quality regressions and metric anomalies, uncover root causes, and identify the improvements with the greatest potential impact..
• Help prioritize the product and engineering roadmap, making quality trade-offs explicit and assessing whether changes deliver meaningful improvements for users..
We expect you to have:
• Substantial hands-on experience designing and building evaluation or quality measurement systems for complex technology products, such as search, AI agents, voice technologies, autonomous driving, recommendation systems, advertising, or other similar complex systems..
• A track record of owning ambiguous problems from initial framing through implementation, diagnosis, and measurable product improvement..
• Strong Python skills and an engineering mindset: you can turn analytical ideas into reliable, maintainable pipelines and tools..
• A solid foundation in mathematical statistics and practical experience with experimental design, sampling, uncertainty, and measurement bias..
• Strong analytical judgment: you understand what a metric captures, what it misses, and whether an observed improvement matters to users..
• The ability to reason across user needs, product behavior, and technical systems, and to translate that understanding into actionable evaluations..
• Strong communication and collaboration skills, with the ability to influence technical and product decisions..
• The independence to make progress in a fast-moving environment where requirements, methods, and definitions of success are still evolving.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
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
The Discovery team at Anthropic is organized around the north star goal of building an AI scientist – a system capable of solving the long-term reasoning challenges and basic capabilities necessary to push the scientific and technological frontier.
We're expanding our work on engineering and the applied sciences. Our goal is to contribute to training Claude to invent, design, and engineer across every discipline and scale, reliably and safely: new manufacturing and experimental techniques, processes, materials, devices, instruments, machines, energy systems, and factories. We want this work to accelerate science and technology and benefit people widely.
We're seeking exceptional researchers with deep expertise in one or more of these areas. In this role, you'll work at the intersection of frontier AI and your field, developing rigorous methods to measure and improve Claude's performance on complex engineering and scientific tasks. You'll collaborate closely with researchers, engineers, and partners across Anthropic and industry to build AI systems that can engage in all phases of research and development, and to test Claude's designs against real-world feedback.
Key responsibilities
Design and implement evaluation methodologies for assessing AI model capabilities relevant to engineering and applied science research and applications
Design realistic tasks and training environments, and curate data from your field
Develop and validate simulations and computational tools for your field, and calibrate them against real-world data
Work with industry partners, manufacturers, and labs to build and test what Claude invents, designs, and engineers, and bring that real-world feedback into evaluation and training
Think through how Claude's engineering capabilities can permeate the real world: where they can have the most impact across industry and research, and what it takes to get them adopted
Advise the team on which problems, tools, and workflows matter most in your field
Collaborate with domain experts and partners to establish benchmarks and gather high-quality data for training
Translate between engineering domain knowledge and machine learning objectives
Minimum qualifications
Deep expertise and hands-on R&D or industry experience in an engineering or applied science discipline, such as mechanical, electrical, materials, chemical, aerospace, structural, industrial, or manufacturing engineering; applied physics; computational simulation
Experience with AI or machine learning, whether evaluating and training AI systems or applying these tools in your field
Track record of taking work from concept through to a working result, such as a product, process, device, experiment, or tool
Hands-on proficiency with the computational design, analysis, or simulation tools used in your field
Basic programming proficiency, for example in Python
Ability to navigate ambiguity and develop solutions in a rapidly evolving research environment
Ability to work independently while collaborating closely with cross-functional teams, and to explain your field clearly to people outside it
Commitment to using AI to accelerate engineering and scientific progress while maintaining high ethical standards
Preferred qualifications
5+ years of hands-on R&D or industry experience in an engineering or applied science discipline
Ph.D. in an engineering or applied science field, or equivalent industry experience
Industry experience in product design and manufacturing, or in developing engineering or scientific simulation software
Breadth across more than one discipline, or across several stages of the path from design to production
Familiarity with modern AI model training methods
Track record of building high-fidelity solvers or simulation engines that were validated against real-world data and used in practice
Experience working with manufacturers, vendors, contract research organizations, or academic labs
Experience managing data pipelines and working with large-scale technical datasets
Publications, patents, or contributions to open-source scientific or engineering software
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:
$320,000
—
$405,000 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: Tbilisi, Georgia
Workplace: remote
Join Our Vision: We are building the next generation of Spatial Media - a new way people experience videos through interaction, multi-user presence, haptics, AI, and immersive storytelling.
DeoVR is the leading immersive streaming technology serving multiple enterprise customers and millions of users globally.
We are now expanding the boundaries of what video can be - moving from passive watching to active, interactive, multi-user journeys.
If this excites you more than it scares you, you are in the right place.
The Role
We are looking for a versatile Video Editor with a strong foundation in 2D video editing who is also open to handling other post-production tasks. This role is ideal for someone who thrives in a dynamic environment, enjoys working across different aspects of post-production, and is passionate about high-quality video production and eager to expand their skills in VR post-production.
What You Will Do
Edit and master high-quality 2D and VR video content for various platforms
Make stereo correction, image and sound quality control
Perform color correction, grading, and sound design to enhance footage
Render, export, and optimize videos for different formats and platforms
Take care of file intake, organization, and archiving for efficient workflow
Troubleshoot technical or workflow issues to maintain smooth operations
Experiment with new post-production techniques and tools
Work closely with production, marketing, and content teams to align on project objectives
Engage with the community on forums and social media, responding to user questions, feedback, and requests
What We Are Looking For
Proven experience in 2D video editing, with a strong portfolio showcasing your work
Proficiency in DaVinci Resolve, After Effects
Excellent organizational, file management, and multitasking skills
Strong problem-solving, communication, and collaboration abilities
Passionate about high-quality video production, innovation, and exploring latest trends and VR editing
Ability to quickly learn and work with new software tools.
Strong sense of aesthetics, style, and rhythm, with storytelling skills and creativity to work independently.
Fluency in English
Bonus Points
Familiarity with VR-specific tools like Mistika VR or Adobe VR workflows
Knowledge of Fusion Studio (Blackmagic)
Motion design skills
Hiring Process
HR Screening (30 min)
Team Interview (1 hour)
Case Task (2-4 hours)
CEO Interview (30 min)
💼
Explore our hiring process
What We Offer
The chance to be part of a pioneering team in a rapidly evolving industry
Direct impact on the future of immersive media
Flexible working hours and remote-first culture
A team that values initiative, clarity, and collaboration
Access to all tools and tech you need
Unlimited DeoVR Premium
A work environment where ideas matter and people are treated with respect
Stay Connected
Join
our Facebook community
and follow updates as we advance interactive VR experiences through cutting-edge technology. Join us and step into a role where legal expertise meets innovation.
ГибридleadSan Francisco; New York
ГибридNew York; San Francisco
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New York; United States; This role is remote-first, so it can be executed from anywhere, with candidates based in New York City strongly preferred
London, United Kingdom - Deliveroo; We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief