Location: San Francisco; Los Angeles; Sunnyvale
Workplace: Hybrid
ABOUT CANTINA:
Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning.
If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future!
ABOUT THE ROLE:
We're hiring a Lifecycle Product Manager to own how Cantina reaches users outside the app and brings them back to value inside it. Sitting on the product management team, you'll own the end-to-end user journey across email, push, and in-product messaging — and, critically, the deep-linked landing and post-click experiences that complete the loop. You'll develop a deep qualitative and quantitative understanding of how people move through Cantina, turn that into a lifecycle strategy that grows activation, retention, and resurrection, and partner with Data and Engineering to launch, measure, and compound improvements. This is a hands-on role with company-wide visibility: you'll write the strategy, ship the journeys, run the experiments, and bring senior stakeholders along.
WHAT YOU'LL DO:
- Own the lifecycle strategy and roadmap for Cantina's owned channels, mapping journeys across onboarding, activation, continuation, retention, resurrection, and monetization.
- Lead the design, launch, iteration, and optimization of templates and journeys across email, push, and in-product messaging — including the deep-linked landing and post-click product experiences that complete the loop.
- Optimize the lifecycle portfolio, not just individual sends: improve message inventory, relevance, personalization, prioritization, and per-user frequency so users get fewer, better-timed messages.
- Build a deep, evidence-based picture of the user journey — combining product analytics, cohort and funnel analysis with qualitative signals like session reviews, support themes, and user research — and use it to find where users stall and what would move them.
- Design and run experiments (A/B tests, holdouts, incrementality reads) and hold the bar on measurement: retained activity and incremental value, not opens and clicks.
- Partner with the Data team to build the measurement system behind lifecycle — instrumentation, eligibility and audience definitions, dashboards, and experiment readouts.
- Partner with Engineering to ship campaigns end to end: triggers, personalization payloads, deep links, and the in-product surfaces each journey lands on.
- Define the operating model — intake, templates, approvals, QA, and quality standards — so lifecycle scales across teams without channel chaos or user fatigue.
- Set and communicate strategy to senior stakeholders, translating a messy portfolio into a clear multi-quarter direction and defending tradeoffs with data.
WHAT YOU'LL BRING:
- 6+ years in product management, growth, lifecycle/CRM, or retention — ideally in a consumer mobile or AI product operating at scale.
- Demonstrated ownership of lifecycle or engagement programs that moved a real business metric (activation, D30 retention, resurrection, or conversion), with the analysis to prove it.
- Strong quantitative fluency: comfortable writing your own SQL and working in a BI/analytics tool (Mixpanel, Amplitude, Hex, Looker, or similar) to build funnels, cohorts, and retention curves without waiting on a queue.
- Hands-on experience with a lifecycle/CRM platform (Braze, Iterable, Customer.io http://Customer.io, or similar) — segmentation, triggered canvases, personalization, and deliverability.
- Rigorous experimentation judgment: you understand holdouts, incrementality, sample sizing, and the difference between a delivery metric and a value metric.
- Technical and product fluency across event and identity models, APIs, deep linking, and push/email infrastructure — enough to design a system with Engineering. Coding not required.
- Excellent written communication and cross-functional influence, with a track record of aligning senior stakeholders across Product, Engineering, Data, Design, and Marketing.
- Craft-level instinct for messaging: you can write the copy, critique the journey, and tell when a notification is helpful versus annoying.
- Preferred: experience with AI/consumer-social products, localization or multi-market lifecycle, and building lifecycle tooling or self-service platforms with Engineering.
Compensation:
The anticipated annual base salary range for this role is between $175,000 - $250,000. When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.
Benefits:
- Competitive salary and generous company equity
- Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina
- 42 days of paid time off, including:
- 15 PTO days
- 10 sick days
- 15 company holidays
- 2 floating holidays
- Generous parental leave & fertility support
- 401(k) retirement savings plan
- Lifestyle spending account – $500/month to use however you’d like
- Complimentary lunch and snacks for in-office employees
- One Medical membership, and more!
Location: Remote (US)
About the company
Hi, we're Ondo Finance. Our mission is to provide institutional-grade, blockchain-enabled investment products and services. We have both a technology arm that develops decentralized finance technology, and an asset management arm that creates and manages tokenized funds. We were the first company to tokenize exposure to US Treasuries, and have since expanded into several other assets. We are also focused on incubating protocols that can support both tokenized real-world assets and traditional crypto.
Founded by folks from Goldman Sachs Digital Assets Team, we’re backed by some of the best investors in the world including Founders Fund, Coinbase Ventures, Pantera Capital, Tiger Global, and more. We are currently the leaders in the space in terms of AUM and are well capitalized to continue growing the firm. We're fully remote, with team members across the U.S.
About the role
Ondo Finance is looking for a Growth PM to own user-facing product strategy across our unified platform interface, Ondo Finance App. This role is the growth counterpart to our platform PMs — and will be the primary driver of user acquisition, activation, and retention across Ondo's expanding product suite (Stocks, Treasuries, Portfolios, and more).
You will work at the intersection of product, design, engineering, and marketing to build world-class user journeys for a new generation of on-chain financial products.
What You'll Own
User acquisition: Identify and build product-led growth loops, referral mechanisms, onboarding flows, and entry points that bring new users into the Ondo ecosystem
Activation: Design and optimize the end-to-end onboarding experience — from first visit to first meaningful transaction — across Ondo Finance Web App and eventually mobile
Retention & engagement: Build features and feedback loops that keep users active, informed, and deepening their relationship with Ondo's product lines
User journey design: Map and continuously improve user journeys across all Ondo products surfaced through Ondo Finance Web App
Experimentation: Drive a structured A/B testing and experimentation culture; define success metrics and own the growth analytics stack alongside data and engineering
Cross-product growth: Collaborate with product line PMs to ensure growth initiatives are coordinated and reinforced across product surfaces
Requirements
4–7+ years of product management experience with a clear focus on consumer-facing or growth-oriented products
Experience in fintech, crypto, or financial products — particularly products involving real-world assets, trading, or investment platforms
Personal experience using financial products similar to ours, with a genuine desire to walk in the customer's shoes
Demonstrated track record of owning and improving acquisition, activation, and/or retention metrics at scale
Strong product instincts — you care deeply about user experience and are willing to do whatever it takes to make the product successful
Excellent written and verbal communication; able to write sharp, well-reasoned PRDs and present clearly to engineers and leadership
Data-driven mindset with hands-on experience defining KPIs, running experiments, and translating data into product decisions
US-hours based (preference per current team structure)
Nice to have
Familiarity with on-chain / Web3 user onboarding challenges (wallet setup, KYC flows, etc.)
Experience working on a unified platform serving multiple financial product lines
Prior exposure to developer-facing or API-adjacent products
What we offer
Competitive compensation including salary, future token rights, and/or equity (according to your preferences) — we're well-funded and believe that great talent deserves great compensation
Full benefits (medical, vision, and dental) and flexible vacation policy (PTO)
Small remote-first team across many countries — you'll be an early team member helping shape our vision, culture, and design practices
A+ colleagues — our team includes alumni from: Goldman Sachs, Blackrock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, Pinterest, McKinsey, Circle, Uniswap, Phantom
Best-in-class investors — we are proud to be backed by leading crypto experts and VCs, including Pantera Capital, Founders Fund and Coinbase Ventures
Location: Foster City, CA
Workplace: Hybrid
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
ABOUT THE ROLE
Search is being rebuilt in real time. Millions of people now start with a question to ChatGPT, Claude, Gemini, or Perplexity, and the answer they get decides which products they try. When someone asks how to build an app, a website, or a tool for their business, Replit needs to be the answer.
We're hiring an AEO/GEO/SEO Lead to own how Replit gets discovered, across AI-generated answers and traditional search. This is a zero-to-one role. You'll define the strategy, then execute it yourself with AI-leveraged production, agency partners, and cross-functional teams behind you. You'll work daily with our Web, Growth, Brand, Content, Product, Engineering, and Analytics teams.
The fastest-growing AI-native companies have already turned AI answers into a primary acquisition channel. Your mandate is to do the same for Replit: grow AI referral traffic into one of our largest sources of new builders, keep our traditional search presence compounding, and make Replit the platform AI assistants recommend when anyone wants to build software.
Replit moves fast. We ship continuously, experiment relentlessly, and aim to make every builder more productive and creative. We're looking for someone who thrives in that environment: part strategist, part operator, part scientist of a channel that changes every month.
WHAT YOU'LL DO
- Own the AEO/GEO Strategy Define where Replit must show up across ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews, for which prompts and buyer intents, and build the playbook to win those answers. Set targets, sequence the roadmap, and defend the strategy with data.
- Win Citations Across the Open Web LLMs cite what they trust: Reddit threads, YouTube videos, high-authority publications, community content, and well-structured owned pages. Build durable programs on each of these surfaces, understand the half-life of an AI citation, and keep Replit ranked as models retrain and retrieval systems shift.
- Run SEO End to End Own keyword strategy, on-page optimization, technical SEO, and content-driven organic growth in partnership with our Head of Web. Protect and grow search equity through a major site relaunch, and coordinate with our paid search team on keyword coverage.
- Build the Content Engine Produce and direct content designed for two readers at once: LLM crawlers and humans. Blogs, comparison pages, videos, and structured resources, created at volume with AI-assisted workflows and held to a high quality bar. The durable human work here is judgment: strategy, editorial quality, and distribution.
- Stand Up Measurement Build reporting for a channel that lacks perfect attribution: AI referral traffic, share of voice in AI answers, citation tracking, and downstream signups and revenue. Run controlled experiments, isolate what actually moves citations, and teach the rest of the company what you learn.
- Direct Agencies and Tools Own our agency and vendor relationships across search and AI visibility, plus the tool stack that powers tracking and production. Write the briefs, hold the quality bar, and decide what stays in-house.
YOU'LL BE A GOOD FIT IF YOU:
- Have 4+ years in growth marketing, SEO, content, or technical marketing (SaaS, technology, or developer-focused businesses a plus)
- Have owned a channel end to end and can walk through what you built, what moved, and the numbers behind it
- Have taught yourself a new channel or skill from zero and turned it into shipped results
- Use AI daily as a builder (automations, agents, dashboards, small apps you can show) and are forming your own point of view on how AI assistants find and cite sources
- Have working technical SEO literacy (crawling, indexing, structured data, site architecture) and the appetite to go much deeper
- Write clearly and quickly, and can direct people, agencies, and AI tools to produce content that earns citations
- Have a founder mindset: you identify gaps and fill them, move quickly, don't wait for someone else to define the playbook, and dig into the details with low ego\\
Bonus Points:
- Shipped AEO/GEO work with results you can show, especially if you helped make AI answers an acquisition channel
- Earned presence on surfaces you don't own: Reddit communities, YouTube, digital PR
- Hands-on with AI visibility and citation tracking tools (Profound, Peec, Ahrefs Brand Radar, or similar)
- Programmatic SEO at meaningful scale
- You've built with Replit or other AI building tools and understand our audience firsthand
Full-Time Employee Benefits Include:
💰 Competitive Salary & Equity
💹 401(k) Program with a 4% match (US Only)
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚼 Paid Parental, Medical, Caregiver Leave
🏝 Flexible Time Off (FTO) + Holidays
🚗 Commuter Benefits (In-Office & US Only)
📱 Monthly Wellness Stipend
🧑💻 Autonomous Work Environment
🖥 In Office Set-Up Reimbursement (In-Office Only)
🚀 Quarterly Team Gatherings
☕ In Office Amenities (In-Office Only)
Want to learn more about what we are up to?
- Self-driving Company https://replit.com/blog/self-driving-company
- Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale
- AI Adoption https://replit.com/blog/ai-adoption
- Build Open-Source Apps https://replit.com/build/open-source-app-builder
Interviewing + Culture at Replit
- Operating Principles https://blog.replit.com/operating-principles
- Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit
To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
Location: Remote - US
About the Job:
LaunchDarkly is seeking a Senior Backend Engineer to join our Experimentation team.
The Experimentation team is building one of the company’s most strategic product areas: a platform that helps leading engineering organizations move beyond intuition and make product decisions with real statistical confidence.
Sitting at the intersection of large-scale systems, data science, and user experience, the team is creating a best-in-class experimentation product that lets customers set up, manage, and analyze experiments with ease while still earning the trust of even the most rigorous data teams.
From warehouse-native analysis to experimentation workflows built on top of LaunchDarkly’s massive feature management scale, this team is tackling ambitious technical problems with visible customer impact and a clear opportunity to define the future of modern software experimentation.
As a Senior Backend Engineer, you will design and operate the services that power this product, contribute to technical direction, and help deliver new functionality to customers.
You will work closely with product managers, designers, data scientists, and engineers across LaunchDarkly to solve complex, data-intensive problems with meaningful customer impact.
Responsibilities:
Design, build, and operate scalable backend services and APIs that power LaunchDarkly’s Experimentation product.
Own backend components across their lifecycle, including technical discovery, design, implementation, testing, deployment, monitoring, incident response, and continuous improvement.
Build and evolve systems supporting experiment setup, event data ingestion, metric computation, results processing, and results presentation.
Contribute to architectural decisions and technical proposals, making thoughtful trade-offs around scalability, reliability, performance, cost, and maintainability.
Partner with product managers, designers, data scientists, and adjacent engineering teams to translate customer needs and product goals into reliable technical solutions.
Collaborate with Data Platform, Warehouse Integrations, SDK, and other teams on shared data flows, services, and cross-team dependencies.
Investigate complex production issues, identify root causes, and implement durable fixes.
Improve observability, testing, deployment safety, operational processes, and the reliability of the systems you build.
Participate in the team’s on-call rotation and take ownership of production systems in a you-build-it-you-run-it culture.
Support teammates through thoughtful code reviews, design reviews, knowledge sharing, and informal mentorship.
Qualifications:
6+ years of professional software engineering experience, including significant experience building and operating backend services in production.
Fluency using AI tools in software engineering workflows, including the judgment to direct, evaluate, and validate AI-generated output.
Experience designing and delivering customer-facing systems that are scalable, reliable, observable, and maintainable.
Strong programming experience in Go or a comparable backend language such as Python, Rust, or C++. Our team is using Go.
Experience with distributed systems, event-driven architectures, data pipelines, APIs, data modeling, or data-intensive services.
Familiarity with analytical, operational, or warehouse data stores such as ClickHouse, Postgres, Snowflake, Redshift, BigQuery, Databricks, or equivalent technologies.
Experience diagnosing production issues and improving system reliability through metrics, logs, traces, alerting, and other observability practices.
Experience working in a cloud environment and with infrastructure-as-code or equivalent deployment and operations tooling.
Ability to take an ambiguous problem from discovery and scoping through design, implementation, launch, and ongoing operation.
Clear, thoughtful communication and a collaborative approach to working with technical and non-technical partners.
Experience with experimentation, A/B testing, analytics, data platforms, or similarly data-intensive products.
Pay:
Target pay ranges based on Geographic Zones* for Level 4:
Zone 1:
San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle
- $191,800 - $263,670**
Zone 2:
Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago -
$172,600 - $237,270**
Zone 3:
All other US locations -
$163,000 - $224,070**
LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.
*Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.
**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.
About LaunchDarkly:
Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.
The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:
Improving the velocity and stability of software releases, without the fear of end customer outages
Delivering targeted experiences by easily personalizing features to customer cohorts
Maximizing the business impact of every feature through the ability to experiment and optimize
Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at
hr@launchdarkly.com
.
Do you need a disability accommodation?
Fill out this
accommodations request form
and someone from our People Operations team will contact you for assistance.
Your safety matters to us.
To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @
launchdarkly.com
email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit
Careers | LaunchDarkly
directly for confirmed job openings and links to apply.
Please notify us of any fraudulent representation by sending an email to
careers@launchdarkly.com
.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is seeking an experienced enablement professional to build our Sales Leader Enablement program. As a key member of the GTM Productivity team, you will be responsible for designing the onboarding, training, and reinforcement programs that ensure our sales managers ramp quickly, lead their teams effectively, and drive consistent sales process across a rapidly growing global sales organization. You will define what great sales leadership looks like at Anthropic and build the infrastructure to develop it at scale.
You will work at the intersection of sales leadership, product, operations, and our field teams to translate complex AI concepts, sales processes, and systems into clear programs. This is a ground floor opportunity to architect a sales leader enablement function from scratch. The right person will combine deep sales methodology and coaching expertise with credibility in front of executives, program building instincts, and a bias toward measurable outcomes.
Key responsibilities
Design and build a scalable onboarding and ongoing development program for sales leadership
Roll out and reinforce a unified sales methodology across the global sales team, securing executive sponsorship and defining what is expected of each leadership level to drive adoption
Build the reinforcement system that embeds methodology and process into manager coaching cadences, deal reviews, pipeline inspection, and forecasting
Define and measure leading indicators of manager and team effectiveness
Partner with Product, Marketing, Operations, and other teams to ensure managers receive timely, well-tailored messaging, content, and training on new releases and evolving use cases
Serve as a trusted advisor to sales leadership on team productivity, coaching effectiveness, and leadership development
Leverage Claude and advanced technologies to deliver personalized, just-in-time training and scale the program beyond in-person engagement
Minimum qualifications
Direct experience rolling out and reinforcing a sales methodology across a distributed sales team, including training managers to coach to it
Program management experience, including building enablement programs from the ground up in a fast-growing, ambiguous environment
Strong presentation and facilitation skills, with experience delivering training or coaching in front of both managers and executives
Preferred qualifications
8+ years of experience in sales enablement, sales leadership development, sales management, or a related customer-facing role within AI/ML or enterprise technology organizations
A track record of earning buy-in from senior sales leaders and frontline managers, and driving stakeholder alignment with executive audiences
Strong analytical skills with a data-driven approach to measuring ramp, productivity, and program effectiveness
Empathy for sellers and sales leaders, with an understanding of the demands of the role and a partnership-oriented approach to conflict and disagreement
A proactive, resourceful approach, combining strategic vision with a willingness to build and execute hands-on
Prior frontline sales management experience
Experience at an AI company or high-growth technology organization that has scaled a sales leadership team
Experience using or building applications on top of Claude or similar AI tools to automate and personalize training
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:
$310,000
—
$360,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote Roles - EMEA
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
The Compliance function at OKX is responsible for the overall compliance culture at the company. We’re a team of risk-minded problem solvers who advise the business on the company’s regulatory obligations and enterprise risk.
In this role, you will own OKX's Global Customer Complaints Program and report directly to the Compliance Chief of Staff. You will work closely with Local Compliance, Legal, Customer Support, Product, Operations, and Risk teams to promote consistent complaint handling across jurisdictions, maintain alignment with regulatory requirements, and provide effective second-line oversight and challenge.
A key part of the role will be turning customer complaints into actionable compliance and conduct-risk intelligence. You will oversee complaints governance and quality assurance, identify trends and potential systemic issues, support root-cause analysis and remediation, and provide senior leadership with clear reporting on customer outcomes and emerging risks.
You will also support the development, coordination, and tracking of responses to regulators, working directly with Legal and Local Compliance teams on regulatory inquiries, escalated complaints, and related supervisory matters. This requires strong regulatory judgment, excellent written communication, and the ability to coordinate complex matters across multiple teams and jurisdictions.
What You’ll Be Doing
Develop, coordinate, and track responses to regulatory inquiries, examinations, and escalated complaints, partnering with Legal and Local Compliance teams to gather and validate facts, prepare clear and defensible responses, manage review and approval processes, meet regulatory deadlines, and track resulting commitments, remediation, and follow-up through closure.
Maintain global regulatory alignment by partnering with local Heads of Compliance to identify changes in jurisdictional requirements and ensure global policies, standards, procedures, and local requirements remain current and appropriately implemented.
Oversee the end-to-end complaints control framework, including complaint identification and classification, regulatory and internal service-level requirements, escalation thresholds, documentation standards, investigation and resolution expectations, and closed-loop validation.
Own the second-line oversight and quality assurance, including risk-based testing of complaint handling, identification of control gaps and customer-outcome issues, tracking of remediation, and escalation of issues.
Turn complaint data into actionable compliance and conduct-risk intelligence by monitoring trends, recurring issues, root causes, regulatory complaints, overdue cases, customer outcomes, and potential systemic issues requiring broader investigation or remediation.
Own complaints governance and executive reporting, including reporting to compliance committees and serving as the standing owner of the complaints agenda for compliance leadership meetings.
Maintain the complaint management database, service level agreement adherence, and escalation thresholds across all regions.
Serve as the central Compliance point of contact for material complaint matters, including complaints or inquiries escalated to regulators, ensuring consistent governance, appropriate escalation, and defensible documentation.
Drive continuous improvement of the framework, using QA results, regulatory developments, complaint trends, and lessons learned to strengthen controls and improve customer outcomes globally.
What We Look For In You
Strong experience developing and managing responses to regulators is required, including regulatory inquiries, information requests, examinations, escalated customer complaints, and other supervisory matters. Demonstrated ability to coordinate cross-functional inputs, develop clear and defensible written responses, manage regulatory deadlines, and track resulting commitments and remediation through closure.
Significant experience in regulatory compliance, conduct risk, consumer protection, complaints oversight, or a related discipline, ideally within a highly regulated and globally distributed organization.
Demonstrated experience owning or overseeing a multi-jurisdictional compliance framework, including translating regulatory requirements into scalable global standards, controls, monitoring, and governance while appropriately incorporating local requirements.
Strong regulatory and customer-outcome judgment, with the ability to distinguish individual service issues from matters presenting potential regulatory, conduct, consumer-harm, reputational, or systemic risk.
Demonstrated experience with root-cause analysis and systemic remediation, including assessing whether broader customer populations may be affected and driving appropriate corrective action.
Strong second-line oversight and challenge capabilities, with experience designing or operating risk-based monitoring, QA, issue escalation, remediation tracking, and governance processes.
Strong analytical and reporting capabilities, trend analysis, SLA monitoring, management information, and executive reporting.
Excellent written and verbal communication skills, with the ability to communicate clearly with regulators, Legal, Compliance, senior executives, and cross-functional stakeholders.
Proven ability to influence geographically dispersed teams and senior stakeholders.
Nice to Haves
Experience designing or overseeing a global customer complaints program across multiple regulatory regimes, particularly the United States, United Kingdom, European Union, APAC, LATAM, and/or Middle East.
Familiarity with complaints-handling and customer protection expectations across major global regulatory regimes, including those established by the FCA, CFPB, MAS, European Supervisory Authorities (EBA, ESMA and EIOPA), and other relevant national competent authorities and dispute-resolution bodies.
Relevant professional certification or advanced qualification such as CAMS, CFE, CRCM, CCEP/CCEP-I, ICA compliance qualifications, CIA, CRCMP, JD or equivalent legal qualification, or a comparable compliance, risk, or audit credential.
Perks &
Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
OKX Statement:
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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Location: United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
The Role
We are seeking a Senior Manager, Sales Operations to join our Revenue Operations team in a critical leadership capacity. This is a player-coach role designed for a deeply technical Sales Ops expert who thrives on both strategic execution and people development. You will serve as the ultimate go-to subject matter expert for all things Sales Ops infrastructure, including architecting our territory design, segmentation models, quota models and annual planning frameworks, while simultaneously leading and scaling a high-performing team.
Initially managing a team of two, with further headcount planned as Docker grows, you will balance executive partnership with technical execution. You will run the strategic vision, coach your team to execute flawlessly, and step into the trenches yourself to solve our most complex operational challenges.
An ideal candidate brings deep Sales Operations experience in a high-growth SaaS environment, strong command of our core tooling, and a track record of leading transformational operational change. This role reports to the Senior Director of Sales Operations.
_______________________________________________________________________
RESPONSIBILITIES
Sales Ops Architecture & Planning Execution
- Drive the end-to-end execution of core Sales Operations, translating the overarching GTM strategy into tactical territory designs and segmentation models
- Architect and build the operational models for annual and quarterly planning cycles, including territory routing (ETM), segmentation updates, and quota allocation
- Own the management, administration, and execution of quota frameworks, and assist with compensation plan design for the direct sales & GTM organization
- Take full ownership of complex operational initiatives, managing the lifecycle from scoping and business requirements through to deployment and post-launch optimization
- Own and update the Sales Rules of Engagement and account engagement models to ensure seamless, frictionless deal flow and pipeline integrity
- Own key tools within the Sales technology stack, managing vendor relationships, budgets, and roadmaps
Operational Collaboration & Tech Optimization
- Serve as the trusted daily operational partner to senior Sales leaders, proactively identifying areas for improvement and executing process enhancements
- Collaborate closely with the Senior Director of Sales Operations and GTM ops leaders (CS, SE, Channel, Renewals) to ensure Sales Ops execution aligns seamlessly with the broader revenue ecosystem
- Maximize the efficiency and roadmap of the core sales technology stack (Salesforce, Clari, Outreach, etc.) to optimize the sales cadence
- Partner with Business Systems to design, test, and deploy scalable tech solutions
Team Leadership
- Directly manage, mentor, and develop a team of Sales Operations professionals (initially 2 direct reports)
- Establish team operating cadences, manage workload capacity, and instill a culture of high ownership, precision, and operational excellence
- Coach your team on advanced problem-solving, data integrity, and stakeholder communication, acting as a force multiplier for their career growth
_______________________________________________________________________
QUALIFICATIONS
- 6+ years of experience in Sales Operations, ideally within a high-growth SaaS or software company
- 2+ years of people management or team leadership experience, with a demonstrated track record of coaching and developing team members
- Hands-on experience of core Sales Ops planning, specifically territory routing, Enterprise Territory Management (ETM), segmentation modeling, and quota allocation
- Proven project management skills, with experience owning complex operational initiatives across their entire lifecycle (from business requirements to post-launch optimization)
- Technical expertise with core sales technology infrastructure, including Salesforce, Clari, Outreach, and LinkedIn Sales Navigator
- Strong analytical and financial acumen required to manage vendor budgets, software roadmaps, and data modeling tasks
- Exceptional communication and stakeholder management skills, with the confidence to advise senior sales leadership and collaborate with cross-functional GTM operations peers
- Highly organized with an eye for data integrity, process precision, and documentation
_______________________________________________________________________
WHAT TO EXPECT
FIRST 30 DAYS
- Immerse yourself in Docker’s direct sales motion, existing territory models, current sales technology stack and existing Sales Ops processes
- Assume direct management of your team, establishing regular 1-on-1 cadences to understand their current workloads, skills, and professional development goals
- Build strong baseline relationships with your core sales leadership partners, and GTM ops leaders (CS, SE, Channel, Renewals)
- Review current processes, systems, and metrics to form an independent point of view on highest-impact opportunities
FIRST 60 DAYS
- Establish your position as the go-to expert for sales leadership regarding tactical operational questions, territory updates, and cadence execution
- Take full ownership of the sales tech stack, including active vendor relationships, roadmaps, and budget lines
- Optimize team capacity by refining operating cadences and shifting immediate execution workloads to your team, stepping in to coach them through complex roadblocks
- Partner with Business Systems to get involved in open projects
FIRST 90 DAYS
- Drive the preparation and operational execution for the upcoming quarterly or annual sales planning cycles (territories, quotas, segmentation)
- Achieve full oversight of the Sales Ops team's output, ensuring high-quality, precise delivery across all direct sales workstreams
- Be recognized across Docker as both an indispensable technical anchor for Sales Operations and an impactful manager developing the next generation of operational talent
Visa sponsorship: Not available for this role.
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COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
United States: $128.1K – $200K base
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: Remote (USA)
Workplace: remote
Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world — one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.
We're a team of fiercely driven individuals committed to making healthcare more sustainable — and we're looking for passionate people to help us get there.
For more information, visit arcadia.io.
Arcadia helps healthcare and life sciences organizations deliver measurable results. We unify fragmented data across the healthcare ecosystem so payers, providers, ACOs, and life sciences companies can make confident decisions grounded in trustworthy intelligence. Our platform supports more than 200 organizations and 40 million attributed lives across value-based care, risk adjustment, population health, and life sciences programs.
Why This Role Is Important to Arcadia
Arcadia's commercial team depends on consistent process, clean pipeline data, and forecasts to help manage and grow the business. As a fast-growing company, we need to scale our infrastructure, systems and operating model to one that aligns to the pace of the growth. This role owns the systems, tools, and cadences that make pipeline reviews, forecasting, and reporting consistent and accurate across the entire commercial team.
Part of the initial mandate is understanding the current ecosystem of tools and technology that support commercial and revenue operations today, and making recommendations on the optimal tech stack for the function going forward — one that is AI native. This person will be the accountable owner of that stack and roadmap, partnering closely with Product and Tech to build the AI-native operating system rather than building it in isolation.
This person will run point on sales operations and the forecasting cadence, and will build the AI-powered operating layer (dashboards, briefings, and workflow tools) that gives the entire commercial organization — not just its leadership — real-time visibility and leverage.
This is role is for someone who is execution oriented. You'll work in the tools yourself — not just direct others to — while also setting the strategy, systems, and rigor that let Sales, Marketing, Customer Success, Legal, and Finance move as one aligned, predictable engine.
What You'll Be Doing
Own the revenue operating system, designing and scaling the processes, metrics, and infrastructure that drive consistent, predictable performance across the business
Partner with Systems Engineering to drive end-to-end improvements and scalability in Salesforce, including structure, data hygiene, workflow automation, and adoption across the sales org
Evaluate the current ecosystem of tools and technology supporting commercial and revenue operations, and make recommendations on the optimal, AI-native tech stack for the function
Serve as the accountable owner of that tech stack and roadmap, partnering closely with Product and Tech to build the AI-native operating system rather than building it in isolation
Own pricing strategy, SKUs, and the end-to-end quote-to-cash process, ensuring pricing structures and deal execution are clean, consistent, and scalable
Own the forecasting cadence and develop robust, repeatable forecasting models (pipeline, bookings, ARR) that improve accuracy and predictability
Build the AI-powered operating layer — automated briefings, pipeline intelligence, meeting prep, and reporting dashboards — that gives the commercial organization real-time visibility
Establish and maintain a unified KPI framework, ensuring alignment on definitions, visibility, and accountability across the funnel
Act as connective tissue across live opportunities, coordinating Marketing, Finance, the RFP team, Value Enablement, and Sales Engineering so they're effectively leveraged
Partner with Sales, Marketing, Customer Success, and Finance leadership to align execution with company goals and financial plans
Analyze pipeline health, conversion rates, and sales efficiency to identify opportunities and drive improvements
Design and manage sales compensation and incentive plans that align with business objectives and drive desired behaviors across GTM teams
What Success Looks Like
In 3 months
Build a deep understanding of Arcadia's GTM model, revenue streams, and key SaaS metrics (ARR, NDR, GDR, pipeline coverage, win rates, sales cycle)
Assess current RevOps infrastructure, CRM configuration, reporting, and forecasting methodologies
Map the current ecosystem of tools and technology supporting commercial and revenue operations, and begin forming a point of view on the optimal, AI-native tech stack
Establish trust across Sales, Marketing, Customer Success, and Finance leadership
In 6 months
Own the CRM and forecasting cadence end-to-end, with a unified KPI framework giving clear visibility into pipeline health, revenue performance, and GTM efficiency
Ship the first version of the AI-powered operating layer (automated briefings, dashboards, and reporting tools) that reduces manual reporting burden for commercial leadership
Improve forecast accuracy through enhanced pipeline modeling and data-driven insights
In 12 months
Operate a scalable revenue operating system — process, CRM, forecasting, and AI tooling — that enables predictable growth and aligns planning across GTM and Finance
Deliver consistent, high-confidence forecasts and actionable insights that directly inform the executive team's decisions
Improve key performance metrics (e.g., pipeline coverage, conversion rates, sales productivity, retention) through data-driven optimizatio
What You'll Bring
The Role, Done Before
You have held this exact role — Head/Director of Revenue Operations or equivalent — at a company of similar growth stage, and can point to what you built and owned.
Growth-Stage Fluency
Track record of operating at growth-stage speed and ambiguity — scrappy, resourceful, and comfortable building infrastructure from scratch rather than administering something already built. Candidates whose experience is exclusively at large, mature organizations without growth-stage exposure are not a fit for this seat.
Deep SaaS Metrics Expertise
Strong command of key SaaS metrics including ARR, NDR, GDR, CAC, LTV, pipeline coverage, and sales productivity, and how they connect to business performance.
Forecasting & Modeling Rigor
Proven ability to build and operationalize forecasting models (e.g., pipeline velocity, ARR forecasting) that improve accuracy and predictability.
CRM & Systems Ownership
Deep, hands-on experience owning a CRM (Salesforce or equivalent) and the broader GTM tech stack — configuration, data integrity, and workflow design, not just consumption of dashboards.
Pricing & Quote-to-Cash Experience
Hands-on experience owning pricing strategy, SKU structure, and the quote-to-cash process, ideally in a company that scaled or restructured its pricing model.
AI-Forward
Comfortable using AI tools to build operational leverage — automating reporting, briefings, and workflows rather than relying solely on headcount to scale.
Cross-Functional Leadership
Track record of partnering effectively with Sales, Marketing, Customer Success, Finance, and executive leadership to drive alignment and results.
Operator Mindset
Ability to move between strategy and execution, translating insights into action and driving measurable impact.
Would Love for You to Have
8–12+ years of experience across Revenue Operations, Sales Operations, or GTM analytics in a SaaS environment
Experience supporting a high-growth SaaS company through key milestones (e.g., post-acquisition integration, scale-up, or M&A)
Familiarity with modern BI, AI, and planning tools (e.g., Sigma, Adaptive, Salesforce ecosystem, AI-native reporting/agent tools) and building self-service analytics environments
Experience designing and optimizing sales compensation plans at scale
What You'll Get
The mandate to build a consistent, predictable commercial engine — including its AI-powered tooling — rather than inherit and maintain one
A growth path from individual contributor to leading the people and functions that support sales operations as Arcadia scales
A mission-driven culture where your work supports better healthcare outcomes
Competitive compensation and strong benefits, including Flexible Time Off
A collaborative, data-driven environment focused on impact, ownership, and continuous improvement
About Arcadia
Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website.
Protect Yourself
If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website.
This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties. For any security-specific roles, the responsibilities would be further defined by the hiring manager.
This role is bonus eligible
Location: Yerevan, Armenia
ClinChoice is a global full-service CRO dedicated to professional development and providing an excellent work-life balance, with a quality-focused, collaborative “one-team” culture. We are looking for a dynamic person to join our in-house team as a
Senior Associate, Aggregate Reporting Physician
on a permanent basis.
Join our team: you can be part of making a difference in peoples’ lives and experience a fulfilling and rewarding career!
Position Overview:
The Senior Associate, Aggregate Reporting Physician position is responsible for developing, reviewing, and maintaining high-quality safety and pharmacovigilance documents that support the safety surveillance and regulatory compliance of consumer health products. It requires the ability to synthesize data from multiple sources, including individual case safety reports (ICSRs), aggregate safety data, clinical studies, epidemiological research, literature reviews, post-marketing surveillance, signal detection activities, and other safety data sources. The successful candidate will transform complex safety information into clear, concise, and scientifically accurate documents that support global pharmacovigilance activities and regulatory submissions and will work closely with Drug Safety, Medical Affairs, Regulatory Affairs, Clinical Development, Quality, and R&D teams to ensure consistent, evidence-based communication of product safety information.
Main Job Tasks and Responsibilities:
Prepare, review, and maintain pharmacovigilance and risk management documents for consumer health products.
Synthesize safety information from multiple sources, including: Individual Case Safety Reports (ICSRs), Aggregate safety data analyses, Clinical trial safety data, Post-marketing surveillance data, Epidemiology studies, Published literature, Signal detection and evaluation activities, Benefit-risk assessments, Health Authority Assessment Reports.
Draft and support the preparation of: Periodic Safety Update Reports (PSURs/PBRERs/PADERs), Ad Hoc Safety Reports, Development Safety Update Reports (DSURs), Signal assessment reports, Aggregate safety reports, Risk management documentation, Health authority responses, Safety narratives, Safety sections of regulatory submissions, Safety surveillance reports and presentations, Analysis and evaluation for the Safety Management Teams (SMT).
Collaborate with Safety Scientists, Medical Reviewers and others to evaluate emerging safety information and communicate findings effectively.
Assist in the interpretation of safety trends, potential signals, and benefit-risk considerations.
Support literature surveillance activities and summarize relevant safety findings.
Contribute to the development of safety conclusions and evidence-based recommendations.
Support the preparation, review, and analysis of risk management activities and reports.
Ensure all documents comply with global pharmacovigilance regulations, company SOPs, and applicable guidance documents.
Maintain high standards of scientific accuracy, consistency, grammar, and document quality.
Perform quality control reviews of safety documents and ensure timely delivery of assigned projects.
Support inspection and audit readiness activities through accurate documentation practices.
Education and Experience:
Advanced degree required: PharmD, PhD, MD, MPH, MS, or equivalent scientific discipline.
3–6 years of experience in pharmacovigilance, drug safety, medical writing, regulatory writing, or related pharmaceutical, consumer health, or medical device industries.
Experience preparing safety and pharmacovigilance documents preferred.
Familiarity with global pharmacovigilance regulations and safety reporting requirements.
Experience working in a matrixed environment with multiple stakeholders.
Strong understanding of: Clinical research methodologies, Epidemiology and biostatistics, Evidence-based medicine, Regulatory and scientific communication requirements, Safety and benefit-risk assessment principles
Expertise in literature evaluation and scientific data interpretation.
Ability to critically analyze multiple complex scientific information and identify key insights to drive product safety.
Microsoft Office Suite (Word, Excel, PowerPoint, Outlook) with strong document formatting, data analysis, and presentation capabilities.
Excellent medical writing, editing, and proofreading skills.
Exceptional grammar, attention to detail, and document quality standards.
Strong analytical and critical thinking capabilities.
Effective project management and organizational skills
Exceptional Communication and Presentation Skills, with the ability to convey complex clinical and scientific information clearly and effectively to diverse audiences.
Ability to work independently while managing multiple priorities and deadlines.
Our Benefits:
Flexible Working Hours
Full performance and development process with end of year reviews
Team events and end of year party
Employee satisfaction survey - your feedback is important for continuous improvement
Health Insurance
The Application Process
Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step. Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful.
Who will you be working for?
About ClinChoice
ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. We are on a mission to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Join our passionate team and make a meaningful impact on global healthcare!
Our Company Ethos
Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives to all personnel the clear tools needed to manage both internal and client processes with the same methodology. The success of these core values is evidenced by our below industry average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it.
Location: Remote - Bengaluru, India
MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data.
We are seeking a highly technical, visionary, and customer-centric Field CTO to act as our premier technical ambassador. In this role, you will bridge the gap between MinIO’s engineering innovation and the strategic business needs of our largest, most complex enterprise customers.
As a Field CTO, you will engage in peer-to-peer conversations with enterprise C-suites (CIOs, CTOs, CDOs) and lead architectural discussions with principal engineers. A deep, hands-on understanding of modern AI architectures (LLMs, RAG, deep learning pipelines) and modern analytics data systems (Iceberg, Delta Lake, Trino, Spark) is mandatory. You will not only evangelize MinIO’s capabilities but also act as a trusted advisor, helping organizations architect their data infrastructure to support next-generation workloads.
What You Will Do
Executive Advisory & Evangelism:
Act as a trusted technical advisor to C-level executives at Fortune 500 companies. Articulate the strategic value of high-performance object storage in the context of AI readiness and data democratization.
Architectural Leadership:
Design and validate complex, large-scale architectures for enterprise customers. Guide them in integrating MinIO seamlessly into their AI/ML pipelines and modern data lakehouse ecosystems.
Industry Thought Leadership:
Represent MinIO at major industry conferences, webinars, and meetups. Write technical whitepapers, reference architectures, and blog posts focusing on the intersection of object storage, generative AI, and modern analytics.
Pre-Sales & Post-Sales Strategic Support:
Partner closely with enterprise sales and customer success teams on high-stakes deals. Unblock technical objections and provide strategic guidance during Proof of Concepts (PoCs) and large-scale deployments.
Product Strategy Feedback Loop:
Serve as the "voice of the customer" to MinIO’s product and engineering teams. Distill market trends, customer pain points, and emerging AI/Analytics patterns into actionable product requirements.
Required Qualifications
10+ years of experience in technical leadership roles (e.g., Enterprise Architect, Chief Architect, VP of Engineering, or previous Field CTO).
Demonstrated experience in a customer-facing or evangelist capacity, successfully presenting to both highly technical audiences and C-level business executives.
AI & Machine Learning Architectures:
Deep architectural understanding of
Generative AI and Large Language Models (LLMs)
, including Retrieval-Augmented Generation (RAG) workflows and vector databases (e.g., Milvus, Qdrant, Pinecone).
Strong knowledge of
AI/ML data pipelines
and frameworks (PyTorch, TensorFlow, Ray, Hugging Face).
Understanding of hardware bottlenecks in AI, specifically the challenge of feeding data to GPUs (GPU data starvation) and how high-throughput storage solves this.
Modern Analytics & Data Systems:
Expertise in
Open Table Formats
(Apache Iceberg, Apache Hudi, Delta Lake) and their integration with object storage.
Proficiency with
modern query engines and compute frameworks
(Trino, Presto, Apache Spark, Flink, StarRocks).
Solid grasp of the evolution from traditional data warehouses to modern Data Lakehouse architectures.
Infrastructure & Cloud-Native Tech:
Strong command of Kubernetes, containerization, and cloud-native orchestration.
Deep understanding of the AWS S3 API, RESTful APIs, and distributed systems design.
Equal Opportunity Policy (EEO)
MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
Location: Remote (USA)
Workplace: remote
Arcadia is the most trusted healthcare platform powering outcomes. We transform complex healthcare data into trusted intelligence, helping providers, payers, and life sciences organizations act with clarity, make confident decisions, and achieve measurable clinical, operational, and financial outcomes.
Built on a comprehensive data foundation spanning tens of millions of patient lives, Arcadia combines advanced analytics and responsible AI to surface meaningful insights, coordinate action, and improve performance at scale. Our approach to AI and automation is governed and transparent — designed to strengthen human expertise, not replace judgment or obscure responsibility.
Hundreds of organizations rely on Arcadia to improve cost, quality, and outcomes. Backed by Nordic Capital, we continue to invest in our platform, AI capabilities, and people as we pursue our purpose: helping healthcare deliver better outcomes for every person, every community, and every generation.
Why This Role Is Important to Arcadia
Arcadia’s data and analytics platform is used by hundreds of health systems, ACOs, payers, and life sciences organizations, touching tens of millions of patient lives. This role owns how our agentic capabilities perform at that same scale: accurate, transparent about their own confidence, and safe for the clinicians, care teams, and patients who depend on them.
As a staff-level individual contributor, you will own the product-layer decisions that shape agent behavior, including prompting, retrieval and context, memory and state, evaluation, and escalation, while partnering with Product and Engineering on the systems that support them. Your work will help Arcadia make evidence-based launch decisions and scale responsible AI that is steerable, trustworthy, and ready for real healthcare workflows.
What Success Looks Like
In 3 months
You have established a production-grounded baseline for priority agentic workflows, with documented failure modes, severity-weighted evaluation rubrics, and a clear measurement plan
You have mapped the current retrieval, context, memory, and escalation patterns and identified the highest-value opportunities to improve reliability, calibration, and cost
You have earned trust across Product and Engineering by turning production evidence into clear, actionable recommendations
In 6 months
What You'll Be Doing
Design and
iterate on
agent behavior across real, live workflows, including long-
horizon
, multi-turn agentic tasks
Design retrieval and context architecture so the right source data reaches a model in the right
structure
and agents
remain
grounded in real data rather than filling gaps with assumptions
Design memory and state handling across multi-turn and multi-agent flows,
determining
what is carried forward, summarized, or dropped and why
Create context and prompt templates that combine few-shot examples, structured formatting, and reasoning scaffolding for consistent agent behavior
Improve performance through prompting, tool-use strategy, and context construction,
validated
through direct experimentation rather than guesswork
Build and run evaluations against real production conditions to measure performance,
regressions
, failure modes, and edge cases
Author evaluation rubrics, quality heuristics, and thresholds that weight failures by severity and cost
,
not just frequency
,
and
monitor
those measures against production behavior
Design and
validate
escalation paths that route agents to human review based on confidence and uncertainty while preserving safety and consistency under adversarial and edge-case conditions
Design for cost-aware performance alongside latency, reliability, and accuracy through efficient context construction and tool-call economy
Evaluate and sign off on model changes by baselining current behavior, running comparative evaluations, and making the go/no-go call before a change reaches a customer
Maintain product-level AI documentation, including model cards, intended use, limitations, and known failure modes, so customer-facing teams work from actual agent behavior
Partner closely with Product and
product managers
to ensure agents are not just capable, but steerable, trustworthy, and ready to scale
What You'll Bring
Bachelors degree in Engineering or related field and/or masters of Data Science or related field
4+ years of production software engineering experience, including 3+ years of hands-on ownership of ML, LLM, or agentic systems in production, with direct experience in healthcare, finance, or another regulated industry
Demonstrated ability to diagnose why an agent failed, correctly attribute the fix to instruction, retrieval, context, or memory design, and weigh failures by severity and cost rather than frequency alone
Hands-on experience with RAG architecture, production-grounded evaluation frameworks, and fallback or human-in-the-loop logic for automated systems
Working familiarity with AWS AI/ML services, including Bedrock and SageMaker, sufficient to build and evaluate effectively in Arcadia’s environment
Evidence-led judgment and the credibility to push back on launch decisions, paired with a builder’s instinct to run the experiment and move from a production failure to a fix
Would Love for You to Have
Experience applying AI to healthcare data or workflows where safety, transparency, and calibrated uncertainty directly affect care teams or patients
Experience with long-horizon, multi-turn or multi-agent workflows and product-level AI documentation such as model cards
What You'll Get
The opportunity to define how agent performance, safety, and readiness are measured for
production
healthcare workflows
Meaningful ownership across prompts, context, memory, evaluations, and escalation patterns at product scale
A cross-functional role translating production evidence into AI improvements used across Arcadia’s platform
A mission-driven company working to improve how patients receive care
A flexible, remote-friendly culture with personality and heart
Employee-driven programs and initiatives for personal and professional development
Membership in the talented, energized, diverse, and purpose-driven Arcadian community
About Arcadia
Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website.
Protect Yourself
If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website.
This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties. For any security-specific roles, the responsibilities would be further defined by the hiring manager.
Location: Ciudad de México, Mexico
Workplace: hybrid
Location: Mexico City (Hybrid for Mexico location and remotely for others locations) |
Department: Strategy D&A Office
Company: NOVACARD
Be part of NOVACARD’s transformation into a truly data-driven fintech.
We’re looking for a Strategy & Data Governance Analyst — a key contributor bridging business strategy, financial analytics, and enterprise data management.
Your mission is to build a data-empowered decision culture: translate data into strategic insights, ensure data quality and governance, and support data-driven business planning.
📝 What You’ll Do – Responsibilities:
📈 Drive Strategic Analytics
· Analyze company performance across key fintech metrics: acquisition, activation, retention, monetization, and churn.
· Build and maintain unit-economics models to evaluate channel profitability, LTV/CAC dynamics, and payback periods.
· Identify growth drivers, operational inefficiencies, and levers for strategic improvement.
· Provide analytical support for strategic planning, quarterly targets, and investment prioritization.
🧠 Lead Data-Driven Transformation
· Design and implement a framework for data-driven decision-making across departments.
· Establish standardized KPI definitions, reporting hierarchies, and accountability chains.
· Support leadership in translating business goals into measurable data objectives.
🧩 Build Data Governance Framework
· Coordinate creation and maintenance of core governance artifacts:
· Metadata descriptions
· Enterprise Data Catalog
· Data Lineage (technical and business flow mapping)
· Business Glossary (data stewards and owners register)
· Data Quality Rules & Profiling metrics
· Data Observability & Monitoring dashboards
· Collaborate with IT, Data Engineering, and Product teams to ensure reliable and transparent data flows.
🔍 Maintain Data Quality & Trust
· Define and monitor data quality KPIs: completeness, consistency, timeliness, and accuracy.
· Investigate data anomalies and drive root-cause analysis with responsible teams.
· Build automated data quality and observability processes within DWH and reporting layers.
🧪 Run Strategic Experiments
· Design and analyze A/B and multivariate tests supporting product and business hypotheses.
· Measure incremental impact of product, pricing, and communication changes on key business metrics.
· Apply statistical rigor to evaluate significance and scalability of experimental results.
📊 Deliver Executive Insights
· Develop dashboards and reports that translate complex data into actionable recommendations for management.
· Support financial planning, forecasting, and scenario analysis with data-driven models.
· Ensure consistent alignment between operational KPIs and strategic company goals.
🤝 Cross-Functional Collaboration
· Act as an interface between Strategy, Product, Data, and Finance teams.
· Promote data stewardship culture and educate teams on proper data usage and governance principles.
· Facilitate adoption of data-governance tools and processes across the organization.
📝 Regular Tasks:
· Maintain financial and operational KPI dashboards in Power BI (or similar).
· Conduct deep-dive analyses on acquisition, retention, and monetization metrics.
· Support management in quarterly OKR reviews with analytical insights and forecasts.
· Curate metadata, lineage, and glossary entries for critical datasets.
· Track implementation of governance policies and compliance with data ownership model.
· Evaluate effectiveness of data quality monitoring tools and workflows.
· Prepare and present analytical materials for leadership and board-level reviews.
💻 Skills & Tools:
✅ SQL – advanced level for analytics and governance queries.
✅ Python – for modeling, statistical analysis, and data validation.
✅ Power BI (or similar- Tableau, Looker etc) – for data storytelling and executive reporting.
✅ Data Governance Platforms – experience with Ataccama, Collibra, Alation, OpenMetadata or etc.
✅ DWH & Integration – understanding of pipelines, data lineage, and data catalog integration (Postgres, etc.).
✅ Statistics & Experimentation – hypothesis testing, regression, causal inference, cohort analysis.
✅ Financial & Strategic Analysis – familiarity with unit economics, LTV, CAC, margin modeling.
🌟 Soft Skills:
🗣️ Strategic Communication – ability to distill analytical insights into concise strategic narratives for executives.
🧩 Systems Thinking – connects operational processes, data flows, and financial outcomes.
📋 Project Management – coordinates cross-team governance initiatives.
🔎 Critical Thinking – detects weak points in data logic and decision frameworks.
🤝 Stakeholder Leadership – builds alignment among Product, Risk, Marketing, Operations, Legal, Finance, DWH and IT.
🚀 Change Catalyst – inspires teams to adopt data-driven practices and maintain analytical discipline.
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to insurance organisations across the EMEA markets. You'll drive the adoption of safe, frontier AI by securing strategic deals with insurers, reinsurers, brokers and MGAs. You'll leverage your consultative sales expertise in the insurance sector to propel revenue growth while becoming a trusted partner to insurance stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in underwriting, claims handling, and distribution. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with insurance decision-makers.
The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI.
Responsibilities:
Win new business and drive revenue for Anthropic within the insurance sector. Navigate complex insurance organisations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close
Design and execute innovative sales strategies tailored to insurance procurement cycles, vendor risk assessment, and budgeting processes to meet and exceed revenue quotas. Analyse insurance market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns
Spearhead market expansion by identifying new use cases within underwriting teams, claims operations, actuarial functions, and distribution channels. Collaborate cross-functionally to differentiate our offerings for insurance applications
Navigate complex insurance stakeholder ecosystems including executives, underwriting and claims leadership, IT departments, risk and compliance functions, and procurement offices to build consensus
Inform product roadmaps and features by gathering feedback from users and conveying insurance market needs. Provide insights that strengthen our value proposition for insurance
Continuously refine the insurance sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency
You may be a good fit if you have:
8+ years of B2B sales experience in SaaS, API solutions, or emerging technologies
A track record of managing complex sales cycles within insurance organisations and securing strategic deals by understanding both technical requirements and insurance use cases
Demonstrated ability to navigate insurance organisational structures and procurement processes, building consensus among diverse stakeholders including executives, underwriting and claims leadership, and IT departments
Extensive experience negotiating complex agreements within insurance procurement frameworks, vendor risk and third-party assurance policies
Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process
Excellent communication skills and the ability to present confidently to various insurance audiences, from underwriters and claims managers to senior executives
Deep understanding of insurance buying cycles, decision-making processes, and key pain points, including the regulatory environment insurers operate within
A strategic, analytical approach to assessing the insurance market combined with creative, tactical execution to capture opportunities
A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for insurance use
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:
£280,000
—
£330,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are looking for a Compensation & Benefits Specialist to join our team in London, UK. In this role, you will support the development and implementation of our compensation and benefits programmes, working closely with HR, Finance, and leadership. You will play a key role in salary benchmarking, benefits, payroll-related processes, and reward initiatives, helping us maintain a competitive and compliant approach to compensation and benefits.
WHAT YOU'LL DO
- Develop and implement compensation and benefits strategies aligned with company goals.
- Conduct salary benchmarking, market analysis, and job evaluations to ensure competitive pay structures.
- Manage employee benefits programs, including pensions, health insurance, and other perks.
- Oversee payroll-related processes in collaboration with finance and HR teams.
- Ensure compliance with UK employment laws and regulations related to compensation and benefits.
- Support the design of incentive schemes, bonuses, and performance-based rewards.
- Provide guidance to employees on compensation structures, benefits, and policies.
- Collaborate with leadership to enhance employee satisfaction and retention through effective reward programs.
WHAT WE'RE LOOKING FOR
- 5+ years of experience in compensation & benefits or a related HR role.
- Previous experience in IT, tech, or digital companies is a plus.
- Strong analytical skills with the ability to interpret salary data and market trends.
- Solid understanding of UK labor laws and compensation regulations.
- Experience with HRIS and payroll systems.
- Excellent communication and stakeholder management skills.
- Proactive and detail-oriented mindset with a strategic approach.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: Hybrid - New York City
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
We are looking for a Product Manager, Observability to join our Product team. You will own the strategy and roadmap for Vercel's observability products, including Runtime Logs, OpenTelemetry tracing, and Drains, which let teams stream logs, traces, Web Analytics events, and Speed Insights metrics into the systems they already use. You will partner closely with engineering and design to help customers understand and debug what they run on Vercel, both through Vercel's native surfaces and through integrations with vendors that support OpenTelemetry. You will report to the product lead and will be located in New York, NY (hybrid).
If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team.
What you'll do
Own strategy and roadmap for Vercel's observability products, from telemetry ingestion through the surfaces developers use to debug and monitor.
Turn ambiguous signal — support escalations, customer interviews, usage data, competitive shifts — into a sequenced plan with clear tradeoffs.
Partner daily with engineering on scoping, and with design on making dense telemetry data genuinely legible.
Define the native-vs-integrate line: what Vercel builds, and where we make Datadog, Sentry, Grafana, Honeycomb, and New Relic work seamlessly.
Work with Enterprise customers and Sales/Solutions on observability needs that block adoption or expansion.
Own pricing and packaging decisions with Finance and GTM — observability is metered, and unit economics are part of the product.
Write the launch narrative: changelogs, blog posts, docs direction, in partnership with PMM
Define the metrics that tell you it's working, and hold the team to them.
What you need
5+ years in product management, with meaningful time on developer, infrastructure, or data-intensive products.
You've shipped something technical enough that engineers treated you as a peer. You can read a trace waterfall and reason about cardinality, sampling, and retention costs.
Comfortable owning a domain end to end without a PM above you translating strategy into work.
You use the products you build on, and you have opinions about the ones you don't.
Fluency with data: you write your own queries and don't wait on someone else to answer a usage question.
Bonus if you
Have worked at an observability, APM, or monitoring company, or been the internal power user of one at scale.
Have shipped AI or agent-facing developer tooling.
Have owned consumption-based pricing for a technical product.
Are an active Next.js or Vercel user.
Benefits & Compensation:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $172,000 - $258,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: Remote (USA)
Workplace: remote
Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.
We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.
For more information, visit arcadia.io.
Arcadia helps healthcare and life sciences organizations deliver measurable results. We unify fragmented data across the healthcare ecosystem so payers, providers, ACOs, and life sciences companies can make confident decisions grounded in trustworthy intelligence. Our platform supports more than 200 organizations and 40 million attributed lives across value-based care, risk adjustment, population health, and life sciences programs.
Why This Role Is Important to Arcadia
Arcadia is at a growth stage where the connective tissue between ideation, execution, and executive decision-making matters enormously. This primarily manifests across two areas today: (1) Growth (Strategy, Sales, and Retention & Expansion) and (2) cross-functional Executive initiatives. This role sits at that intersection: you will partner with the Chief Commercial Officer to identify and launch new growth initiatives—whether that's a new vertical, a new go-to-market partnership, or a new solution while also engaging directly with the executive team to drive alignment on the initiatives that matter most across the company. In practice, this typically plays out as roughly 75% of your time on commercial strategy and growth initiatives, and roughly 25% partnering directly with the executive team and supporting the Chief Executive Officer.
This is a role of ownership and initiative, not execution-on-request. You will be given real latitude to define how new opportunities get approached, how cross-functional work gets organized, and how the executive team stays aligned—and you'll be trusted to run with it. You will report to the Chief Commercial Officer and partner closely with Product, Clinical, Value Enablement, Sales Engineering, Marketing, Actuary, Account Management, and the broader executive team.
What You'll Be Doing
Launch New Growth Initiatives
You will partner across the Commercial, Value Enablement, and Product teams to identify and pursue new paths to growth—whether that's a new vertical, a strategic partnership, a new product or solution go-to-market motion, or another initiative altogether—taking ownership of the work from initial concept through initial traction.
Identify and size new growth opportunities by understanding the market, our competitive position, and where Arcadia's assets and talent can be leveraged to win
Build the business case for each opportunity: market sizing, financial rationale, resourcing needs, and risks, so leadership can make a clear go or no-go decision
Partner with Thought Leadership, Value Enablement, Product, Clinical, Partnerships, and other domain SMEs as needed to shape the specifics of each initiative—what it is, who it's for, and how it comes together
Build the
GTM positioning
and competitive differentiation for each initiative, grounded in Arcadia's outcomes-first brand and validated against real buyer needs
Translate the business case into a tactical execution plan, and drive that plan forward: coordinate cross-functional workstreams, resolve dependencies, and keep the initiative moving toward real traction
Define success criteria for each initiative and track progress against commitments
Strengthen GTM Motion
New markets don't succeed in isolation—they depend on a commercial engine that's tightly coordinated. You will take initiative to close gaps and accelerate growth across the teams that make GTM work and bring visibility into that progress at the executive level.
Build and refresh competitive intelligence in target markets, synthesizing signals from win/loss data, market research, analyst commentary, and field input
Collaborate with Value Enablement and Solutions Consulting to improve discovery-to-proposal velocity, solution credibility, and RFP quality
Partner with Actuary to sharpen financial modeling, risk quantification, and ROI frameworks used in payer and risk-bearing organization deals
Facilitate cross-functional alignment meetings, manage project tracking for strategic commercial initiatives, and proactively remove blockers
Bring commercial progress, risks, and decisions needing executive input directly into board and executive committee conversations
Executive Team
Support
As Arcadia scales, the initiatives that matter most increasingly cut across teams and leaders—commercial expansion chief among them. This role gives you a direct seat in that conversation, extending the alignment work you do in Commercial to the executive team as a whole.
Drive the Executive Committee Operating Rhythm: Help shape and run the weekly executive committee meeting -- build agendas, synthesize pre-reads, capture decisions, and drive follow-through across leaders
Partner on board meeting preparation, ensuring materials reflect a coherent narrative across commercial, product, and financial priorities
Take ownership of cross-functional strategic initiatives that span multiple teams and executives, acting as the driver who keeps them moving and accountable
Proactively surface where executive-level initiatives are stalling and broker resolution before they become bigger problems
Take on special projects with the executive team as they arise, applying the same ownership and rigor used in the commercial work
What Success Looks Like
In the first 90 days, you have mapped the highest-priority growth opportunities in front of Arcadia, built relationships across Product, Clinical, Value Enablement, Marketing, and the executive team, and built the business case for at least one priority initiative.
In year one, you have taken two or more growth initiatives from concept to real traction—whether new verticals, partnerships, or products—contributed measurably to pipeline generation and competitive win rates, and become a trusted driver of alignment within the executive committee and board cadence.
What You'll Bring
Required
Seven or more years in healthcare GTM strategy, strategy consulting, or a commercial leadership role
Deep fluency in the payer or provider landscape—you can speak credibly to value-based care, population health, risk adjustment, quality and Stars
Demonstrated experience taking a growth idea from concept to traction in a B2B healthcare context—building the business case, shaping the go-to-market approach, and driving execution
Experience partnering with executives or a board on operating rhythms, including meeting preparation, cross-functional tracking, and driving follow-through on strategic commitments
Strong cross-functional collaborator who can align product, clinical, finance, sales, and executive stakeholders behind a common strategy
Comfort working in ambiguity—this role requires structuring undefined problems and building the plan, not executing a defined playbook
Excellent written and verbal communication; able to build crisp, compelling narratives for executive, board, and buyer audiences
Preferred
Experience with data and analytics platforms sold to payers, ACOs, or risk-bearing organizations
Familiarity with buyer segments beyond traditional payer and provider markets—including self-funded employers, risk-bearing entities, or adjacent healthcare services organizations
Prior experience as a chief of staff, or in a strategy-and-operations role partnering closely with a CEO or executive committee
What You'll Get
Competitive compensation and strong benefits
Employee-driven programs and initiatives for personal and professional development
Membership in the talented, energized, diverse, and purpose-driven Arcadian Community
Be a part of a mission driven company that is transforming the healthcare industry by changing the way patients receive care
About Arcadia
Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website.
Protect Yourself
If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website.
This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties. For any security-specific roles, the responsibilities would be further defined by the hiring manager.
This role is bonus eligible
Location: Remote (North America)
Workplace: Remote
ABOUT CLIPBOARD
Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S.
Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities.
ABOUT THE ROLE
Clipboard is looking for a Sales Operations Analyst to help build and run the systems behind our sales organization.
You'll work across Salesforce, data, automation, and internal tools to help our sales team operate more effectively. That might mean building an automation that eliminates a recurring workflow, investigating a messy data problem, redesigning part of our Salesforce setup, or building a new system from the ground up.
We are a small team with an unusual operating model. Much of our execution runs through AI agents that we direct and quality-check, allowing each analyst to operate with the leverage of a much larger team.
This is equal parts builder and operator. You'll own systems end to end, work through ambiguous requests from reps and leadership, and be accountable for making sure the things you build actually work.
WHAT YOU'LL DO
- Own live systems. Take ownership of production systems such as account distribution, deal intelligence, competitor tracking, and data sync pipelines. You'll be accountable for their accuracy and reliability.
- Solve ambiguous problems. Work through requests from sales reps, managers, and leadership, figure out what is actually needed, and execute quickly.
- Direct AI agents. Write specs and prompts, supervise AI agents, and rigorously QA their output before it touches production data.
- Build automations and tools. Create scripts, scheduled jobs, Slack bots, and lightweight web apps that turn recurring manual work into scalable systems.
- Analyze and report. Use SQL and other tools to answer important revenue questions and build reporting the organization can trust.
- Guard data quality. Handle merges, deduplication, account mapping, enrichment, and other work required to keep our systems accurate at scale.
WHAT WE'RE LOOKING FOR
- Evidence of building. You've built scripts, automations, tools, systems, or other solutions to real problems.
- AI-native working style. You already use AI to multiply your output and understand where it can fail and how to verify its work.
- High judgment under ambiguity. You can take a loosely defined problem, figure out what matters, and know when to act versus when to ask.
- Strong attention to detail. You're comfortable being the last line of defense before changes affect production systems and large datasets.
- Bias to ownership. When something you own breaks, you don't just fix the immediate issue. You look for the underlying problem and improve the system.
SQL and Python experience are strong pluses, but we're more interested in your curiosity, judgment, and ability to ship than checking every technical box.
NICE TO HAVE
- Salesforce administration or development experience, including flows, SOQL, or data model design.
- Experience in Sales Operations, Revenue Operations, Business Operations, analytics, or a similar environment.
- Experience building automations with tools, scripts, APIs, or AI agents.
INTERVIEW PROCESS
1. Application Review – We'll review your experience and evidence of things you've built, automated, or owned.
2. Take-Home Assessment – A practical, ~2-hour assessment using a fictional company, mock website, and CRM. You'll have 48 hours to complete it, and AI tools are encouraged.
3. Technical Walkthrough – A 30-minute session where you'll demo what you built, explain your decisions, and make a small live change to your system.
4. Manager Interview – A 30-minute conversation focused on communication, ownership, judgment, and how you operate under ambiguity.
5. Final Steps / Offer! – Some candidates may have an executive conversation, followed by references and an offer.
WHAT WE OFFER
- Competitive base salary
- Insurance benefits + 401k options
- Unlimited PTO and flexible holidays
- Remote-first working environment
To get a better understanding of the general type of people we want to hire, you can check out our blog here. https://creatingvalue.substack.com/
Quick Note on Scammers:
Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.
Location: Ukraine; Moldova; Albania; North Macedonia; Turkey; Kazakhstan; Montenegro; European Union; Serbia; Georgia
Workplace: Remote
ABOUT US
Ruby Labs is a leading technology company specialising in innovative consumer products across multiple technology sectors. The company focuses on D2C (Direct-to-Consumer) subscription products. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/
ABOUT THE ROLE
We are looking for a Senior User Acquisition Manager to own and scale Facebook(Meta) for one of our core D2C subscription products. The funnel is simple: ad → quiz → trial → subscription (web-to-web). The scale is not: 40+ countries, 20+ languages, one of the largest Meta budgets in its category.
You will be measured on two numbers: daily subscriptions and cohort ROI — not clicks, not CTR, not platform-reported ROAS.
You'll operate with serious leverage: an API-driven build pipeline and AI tooling handle the mechanical work. Your job is judgment — what to scale, what to cut, where the next dollar goes. The bar is high and so is the upside: performance here is directly and significantly rewarded, and strong operators take on bigger scope fast.
KEY RESPONSIBILITIES
- Channel Ownership: Own the Facebook account end to end — structure, budgets, bidding, geo mix — keeping subscription volume high at target CPA and ROI.
- Scaling & Stability: Scale winners without breaking CPA; keep delivery stable at high spend and catch problems before they cost money.
- Testing: Run a continuous testing pipeline — creatives, structures, bidding (highest volume / cost cap / bid cap), placements, geos and languages. Kill fast, scale what works.
- Creative Ideas: Own the creative direction for the channel — hooks, angles, formats — and brief the creative team with data-backed feedback.
- Working with Data: Make decisions on real cohort revenue from our BI, not on Ads Manager numbers. Break performance down to country × creative × bid level and build your own reports.
- Account Health: Protect ad accounts, pages and Business Managers — policy-safe copy and landings, appeals, backups.
- AI & Automation: Automate every repeatable part of your workflow with AI and keep manual work to a minimum.
QUALIFICATIONS
MUST-HAVE EXPERIENCE
- 2+ years hands-on Facebook as the primary channel you personally owned.
- Personally owned $400K+/month on Meta with direct accountability for CPA / ROI targets — your budget, not your team's or agency's total.
- Subscription funnels: drove subscriptions or trials through web funnels (web-to-web) or subscription apps for D2C products.
- Multi-GEO: ran and scaled campaigns across many countries and languages at once.
- Analytics: comfortable with cohorts, LTV, payback and the gap between platform and BI numbers.
- AI in daily work: uses Claude, ChatGPT or equivalents daily for analysis, reporting and automation — not just aware of them.
- Working proficiency in English (B2+).
NOT A FIT
- Mostly agency experience (spread across many small clients)
- E-commerce / catalog-only background (DPA, Shopping, basket ROAS)
WHO YOU ARE
- Full owner of your zone — from diagnosis to result, no reminders needed
- Analytical — every scale or kill decision has a period, a threshold and a dollar amount behind it
- Plans ahead — runs the channel against a plan weeks and months out
- Fast under load — many campaigns and tests in parallel without quality slipping
- Ambitious — wants to grow fast and prove it with performance
LOCATION
Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours.
BENEFITS
Discover the perks of being part of our vibrant team! We offer:
- Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.
- Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.
- Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.
- Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.
- Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt
Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!
INTERVIEW PROCESS
After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:
- Recruiter Screening (40 minutes)
- Technical Interview (60 minutes)
- Final Interview (45 minutes)
LIFE AT RUBY LABS
At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day.
This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen.
Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success.
All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
#LI-Remote
УдалённоseniorRemote (US)
ГибридleadСША; 💹 401(k) Program with a 4% match (US Only); 🚗 Commuter Benefits (In-Office & US Only); We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоseniorUkraine; Moldova; Albania; North Macedonia; Turkey; Kazakhstan; Montenegro; European Union; Serbia; Georgia; Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET