Задачи:
— Ability to build libraries and frameworks of reusable efficient code.
— Competence in designing and implementing low-latency, stable and performing applications.
— Capacity to effectively collaborate with other team members and stakeholders remotely.
— Ability to implement data protection systems.
— Competence in data storage solutions.
Требования:
— 5+ years of experience building products with Python and Django.
— High proficiency in SQL with experience using databases like PostgreSQL.
— Experience scaling cloud infrastructures with Docker or Kubernetes is a plus.
— Experience managing cloud infrastructures, specifically AWS or GCP.
— You follow the best practices and conventions.
— Relevant experience in CI/CD and related tools.
— Ability to work with minimal supervision.
— Intermediate-advanced English level.
— You can communicate well with both technical and non-technical clients.
— Time zone: CET (+/- 3 hours). We are unable to consider applications from candidates in other time zones.
Условия:
— Get paid, not played: on-time monthly payments with flexible withdrawal options.
— Predictable project hours: consistent 8-hour working days with clients.
— Flex days: up to 24 flex days off per year without losing pay, for full-time positions found through Proxify.
— Career-accelerating positions at cutting-edge companies.
— Hand-picked opportunities just for you.
— One seamless process, multiple opportunities.
— Compensation: same pay every month with positions landed through Proxify.
УдалённоseniorTime zone: CET (+/- 3 hours); We are unable to consider applications from candidates in other time zones
We are looking for a Senior Fullstack Developer skilled in React.js and Node.js for one of our clients. You are a perfect candidate if you are growth-oriented, you love what you do, and you enjoy working on new ideas to develop exciting products.
What we are looking for:
— 5+ years experience as a Fullstack Developer.
— Backend experience with Node.js and Microservices architecture.
— Database experience with SQL and MongoDB.
— Intermediate-advanced English.
Nice-to-have:
— Located in CET timezone (+/- 3 hours).
— Database Architecture knowledge.
Responsibilities:
— Ability to build libraries and frameworks of reusable efficient code.
— Competence in designing and implementing low-latency, stable and performing applications.
— Capacity to effectively collaborate with other team members and stakeholders remotely.
— Ability to implement data protection systems.
— Competence in data storage solutions.
What we offer:
— On-time monthly payments with flexible withdrawal options.
— Consistent 8-hour working days with clients.
— Up to 24 flex days off per year without losing pay for full-time positions.
— Exclusive long-term remote positions at cutting-edge companies.
— Personally matched positions avoiding typical recruitment roadblocks.
— One-time contracting process for multiple opportunities.
— Consistent monthly compensation for positions landed through Proxify.
УдалённоseniorLocated in CET timezone (+/- 3 hours)
About the Role:
We are seeking a highly motivated and licensed Property & Casualty (P&C) Insurance Broker to join our team as part of a critical pilot to launch a P&C broker model at Gusto. You will be essential in evolving Gusto's business insurance channel by acting as a licensed agent to quote and issue business insurance policies with our NEXT Insurance carrier partner. You will use your expertise to provide direct support and an improved experience for small business customers with complex insurance needs, helping to capture meaningfully higher revenue and accelerating the development of our AI Insurance Advisor.
About the Team:
This team is crucial to solving customer experience gaps and optimizing our offline insurance channels. You will be a SME who is part of the "human-in-the-loop" workflows required to train and optimize Gus as an AI insurance advisor. Our collective vision is to be an expert advisor that supports small businesses through every stage of growth, with this pilot being key to establishing our digital insurance agency and licensed agent integration.
Here’s what you’ll do day-to-day:
— Make outbound dials to prospective and existing small business clients to assess their complex P&C insurance needs and recommend suitable coverage options.
— Quote and issue Property & Casualty policies, primarily with the NEXT Insurance carrier, in our offline sales channel.
— Achieve required daily, weekly, and monthly sales activity expectations.
— Provide human-in-the-loop support to optimize the AI Insurance Advisor, Gus, and assist customers with more complex needs.
— Maintain client relationships, manage policy renewals, and facilitate changes or endorsements to existing policies.
— Act as a trusted liaison between clients and carriers, including assisting clients with reports of losses and claims settlement when necessary.
— Actively work to cross-sell and up-sell additional P&C lines of coverage and strive to achieve monthly production goals for units and/or revenue.
— Maintain accurate and up-to-date client records and policy documentation within CRM systems (SFDC workflow).
— Use AI-powered workflows as a core part of how you sell: running assigned tools daily, surfacing friction and inefficiencies as you find them, and collaborating with your team to influence what gets built or improved next.
— Stay current on industry trends, products, regulations, and underwriting guidelines to provide accurate advice and ensure compliance.
Here’s what we're looking for:
Experience in the field:
— Proven experience in insurance sales or brokerage, with coverage level knowledge of commercial P&C products (e.g., Workers' Compensation, BOP, Commercial Auto, E&O).
— 4+ years
Licensing:
— An active Property & Casualty insurance producer’s license
Communication & Interpersonal Skills:
— Excellent verbal and written communication, active listening, and strong interpersonal skills to build rapport and explain complex concepts clearly.
Sales & Negotiation:
— Strong sales and negotiation abilities with a proven ability to meet sales targets.
Technical Proficiency:
— Working knowledge of carrier quoting systems, proficiency in insurance software, and familiarity with CRM systems like Salesforce (SFDC).
— Comfortable using AI tools and automation to enhance productivity, decision-making, and problem-solving.
Mindset:
— A demonstrated passion for delivering an incredible customer experience and genuine empathy for small business owners.
Attributes:
— Highly self-motivated, goal-oriented, and an entrepreneurial ownership mentality to thrive in a fast-paced, high-energy environment.
AI Fluency:
— Proven, day-to-day experience integrating AI into how you work - across writing, research, prep, and summarization as a core part of your workflow, with a track record of giving clear, useful feedback that helps improve your tools and processes.
Compensation:
— Cash compensation amount for this role is $109,390 to $134,000 OTE for Denver, Atlanta, Chicago & Las Vegas.
— $102,855 to $126,000 OTE for Phoenix.
— Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.
Work Format:
— Gusto has physical office spaces in Denver, San Francisco, and New York City.
— Employees based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role).
— The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale.
— When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required.
Equal Opportunity:
— Gusto is an equal opportunity employer and does not discriminate based on legally protected characteristics.
— Committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in the job application process.
Security & Privacy:
— Gusto takes security and protection of personal information seriously.
Algolia is a market leader in AI Search, serving over 18,000 businesses and processing over 30 billion search requests weekly. The company raised $150 million in Series D funding in 2021, reaching a valuation of $2.25 billion. The Customer Success Engineer role involves ensuring customers successfully adopt, implement, and scale Algolia's search and discovery platform. Responsibilities include delivering technical onboarding, solution design, best-practice guidance, and hands-on implementation support. The role requires partnering with customers to design scalable solutions, supporting Professional and Expert Foundation offerings, acting as a Technical Owner for assigned accounts, and ensuring smooth delivery through communication, documentation, and stakeholder alignment. Key tasks include consulting customers, delivering technical workshops, advising on search implementation and optimization, collaborating with Customer Success Managers, escalating issues as needed, partnering with Product and Engineering teams, reporting case status, identifying and resolving technical risks, and optimizing customer environments.
Requirements:
— 4+ years in a customer-facing technical role (CSE, SE, SA, consultant), preferably in SaaS
— Functional knowledge of at least one programming language: JavaScript, Java, PHP, C#, Objective-C, Swift, Ruby, Python
— Experience with REST API, database management, and web development technologies
— Experience delivering technical workshops (training, knowledge transfer, implementation, code review)
— Lifelong learning and growth mindset
— Ability to explain complex technical concepts to broad audiences
— Proficiency in communicating technical issues to technical and non-technical audiences via phone and email
— Excellent time management, task prioritization, and situational urgency evaluation
— Occasional travel to customer locations may be required
Nice to have:
— Experience implementing or optimizing search & discovery experiences
— Experience designing and developing generative AI and agentic applications
— Experience in high-growth SaaS environments
— Familiarity with iOS & Android platforms
— Experience supporting open-source projects and GitHub communities
— Experience with Shopify, Magento, and Salesforce
Algolia offers a flexible workplace strategy with options for fully remote or hybrid-remote work. The company values grit, trust, candor, care, and humility. Algolia is committed to diversity, inclusion, and creating a respectful workplace. Candidates are advised to apply only through the official careers page and be cautious of recruitment scams.
Location: Bangalore (Hybrid)
ABOUT ONEPAY
OnePay is the consumer fintech trusted by millions of Americans to make money better.
Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast.
We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers.
We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining.
But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are:
- Ready to run
- Hungry and driven by urgency
- Exceptional at what they do, with low ego
- Comfortable operating in motion
THE ROLE
As a FCC Investigator, your mandate is to protect the safety of our customers by implementing the procedures and controls we have in place. This role will impact OnePay’s vision by fundamentally assisting in the development of a durable program, and the effectiveness of our financial crime compliance program. You will work closely with the Risk and Fraud team(s) working on daily monitoring and taking action on suspicious transaction alerts, and using strong investigative and analytical skills to decision alerts and escalate them as appropriate. This role reports to the FCC program manager.
This role is responsible for:
- Performing investigation to identify financial crime typologies
- Monitoring of sanctions and PEP screening alerts
- Drafting suspicious transaction reports
- Providing advice and analysis of observed ML/TF typologies and trends to identify potential areas of risk
- Perform quality control reviews of sanctions and suspicious transactions alerts and reports
- Participating in transaction monitoring system tuning tests
- Additional duties as assigned by your manager
YOU BRING
- 4+ years of experience
- An act-like-an-owner mentality. We have a bias toward taking action.
- Strong investigations experience with ability to tie disparate red flags and to effectively document conclusive results
- Past experiences implementing BSA/AML program improvements a plus
- Ability to synthesize transactional behavior through different views of transaction data set (e.g. chronological and pivoted summary data)
- Self-starter, able to anticipate management needs, and comfortable working in a dynamic environment
- Meticulously organized with ability to successfully manage disparate assignments in parallel
- Results-oriented and analytical, with ability to work independently and adaptively, to anticipate and mitigate friction points, and to take action to promptly resolve and learn from challenges
- Ability to work closely and communicate effectively with colleagues in all functions at all levels who are working remotely
- Skilled in both written and verbal communications with all levels of an organization
- CAMS or current candidacy a plus
WHAT WE OFFER
- Competitive salary, stock options, and benefits from Day 1
- Comprehensive health insurance coverage (health insurance, accident and disability insurance, term life insurance), including mental health support and wellness programs
- Hybrid work model (Bengaluru office three days a week), various time off programs (vacation, sick, other paid leaves, and paid regional holidays)
- Monthly transport and work-from-home allowances
- A high-growth, mission-driven, inclusive culture where your work has real impact
STANDARD INTERVIEW PROCESS
Our process varies by role. Most candidates go through:
- AI-assisted initial screen
- Interview with Talent Partner
- Technical or Hiring Manager Interview
- Team Interview
- Executive Interview
- Offer!
EQUAL EMPLOYMENT OPPORTUNITY
To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.
Location: New York, NY (HQ)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
The Applied Science team builds models and tools that solve Ramp’s most critical problems: from underwriting businesses to combatting fraud to making spend management smarter. We’re deeply embedded in the business and provide a quantitative foundation for decision making.
As an Applied Science intern, you’ll be a fully integrated member of the team and own your project from start to finish. Working with engineers, product managers, and business stakeholders, you’ll translate complex business needs into scalable machine-learning-driven solutions. This is a chance to apply ML concretely, ship code, and create genuine value for Ramp and our customers.
You will focus on exciting problems in areas like: credit, fraud, growth, or our core product.
WHAT YOU’LL DO
- End-to-End ML: own the model lifecycle from data exploration and feature engineering to training, benchmarking, deployment, and monitoring
- State-of-the-Art AI: leverage the latest Large Language Models (LLMs) to solve novel problems and create new product capabilities for our customers
- Versatile Techniques: apply the right tools to the right problems, whether it’s deep learning, gradient boosting, or causal inference
- Rigorous Experimentation: quantify the impact of your work through A/B tests and other statistical methods
- Collaborate: partner closely with product and business leaders to translate models and insights into actionable strategy and user-facing features
WHAT YOU NEED
- B.S., M.S. or Ph.D. Student: currently pursuing a degree in Data Science, Computer Science, Math, Physics, Economics, Statistics, or other quantitative fields with an expected graduation date between Dec 2027 - 2029. Graduate degrees are preferred, but not a must.
- Strong ML Fundamentals: solid understanding of the mathematical foundations of machine learning, statistics, probability, and optimization
- Strong Interest or Experience with AI: curiosity and drive to integrate cutting edge LLMs and agents into applied solutions
- Python Proficiency: good grasp of common Data Science libraries (pandas, scikit-learn, NumPy, PyTorch, etc.)
- SQL Knowledge: experience wrangling data in a modern data warehouse (e.g. Snowflake, BigQuery, Redshift, Clickhouse)
- Practical Experience: track record of curating datasets and building/evaluating ML models
- Strong Communication: ability to clearly explain complex concepts to both technical and non-technical audiences and use data to build a compelling narrative
- Bias For Action: a comfort with ambiguity and desire to ship solutions quickly then iterate
NICE TO HAVES
- Publications, Projects, or Previous Experience: relevant experience applying AI/ML and demonstrating your passion for the field
- Production ML Mindset: knowledge of software engineering best practices applied to ML including version control (Git), testing, and writing maintainable code
- Data Orchestration: experience with leveraging modern data orchestration platforms (Airflow, Dagster, Prefect, Metaflow)
COMPENSATION
- The monthly rate for this internship is $12,500 USD + housing stipend
RAMP BENEFITS
- Apple MacBook
- Catered lunches in NYC office Monday-Friday
- Weekly coffee stipend
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: San Francisco, CA | New York City, NY | Seattle, WA
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
We are seeking a Recruiting Analytics Data Engineer to join our People Data Solutions team, focusing on building and maintaining the data infrastructure that powers our recruiting analytics capabilities. You'll be the technical foundation for our recruiting analytics team, designing scalable data architectures and implementing robust data models that enable evidence-based decision-making across Anthropic.
This role sits at the intersection of data engineering and recruiting analytics - you'll build the technical foundation for insights about recruiting funnels, interviews, and workforce planning while working with a team that's actively experimenting with AI to transform how we understand and support our workforce.
Key responsibilities
Data Infrastructure & Modeling
Refactor and optimize our existing BigQuery tables to create a scalable data foundation that supports and enables AI-driven data insights across the company
Design scalable data architectures and build dimensional models that transform raw HR data into trusted, reusable datasets for self-serve analytics while maintaining performance
Implement data governance including documentation, lineage tracking, quality monitoring, and proactive alerting systems
Ensure appropriate data access controls including row and column-level security for sensitive candidate data
Pipeline Development & Integration
Build and maintain ETL/ELT pipelines using dbt and Google BigQuery to integrate data from our HRIS (Workday), ATS (Greenhouse), and internal tools
Create reliable data flows that handle both real-time needs and batch processing requirements
Design fault-tolerant data pipelines with proper error handling and monitoring to ensure data freshness
Automate data quality checks and validation across all pipelines
Analytics Engineering & Modeling
Develop semantic layers and comprehensive documentation that make complex recruiting data accessible to non-technical users
Build data products that standardize key metrics like offer accept rate, time to fill, and headcount movement
Partner with data scientists, software engineers, recruiting teams, and various other stakeholders to build scalable data models that serve needs across the company
Minimum qualifications
Are an expert in BigQuery including optimization and partitioning
Have built dimensional models and understand slowly changing dimensions
Are proficient in SQL, Python, and modern tools like dbt and Fivetran
Have implemented data security and privacy controls in cloud warehouses
Can translate HR concepts into scalable data models
Communicate effectively with both technical and business stakeholders
Preferred qualifications
Have 5+ years in data engineering
Familiarity with ATS platforms (Greenhouse, Lever) and their data structures
Experience with building semantic layers for data agents
Experience building data pipelines for survey data and text analytics
Knowledge of graph databases or network analysis libraries
Background in privacy-enhancing technologies or sensitive data handling
Previous experience in high-growth technology companies or AI/ML organizations
Familiarity with workforce planning and predictive analytics use cases
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:
$285,000
—
$380,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: South Africa; Colombia; United Kingdom; Spain; Mexico; Argentina
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are looking for an aggressive, highly analytical Senior Growth Marketer / Media Buying Specialist to take ownership of Google and Meta advertising campaigns. Our primary objective is simple: generate qualified inbound calls and leads profitably. This is not an account-maintenance or monthly-reporting role. We want someone who treats every account as if their own money is being spent. You will work directly with leadership to launch campaigns, analyse performance, cut wasted spend, identify overlooked opportunities, test new angles, and aggressively scale profitable campaigns.
Key Responsibilities
Build, manage, optimize, and scale high-intent Google Ads campaigns, with Meta Ads as a secondary channel
Develop campaigns specifically designed to generate qualified inbound phone calls and leads
Analyse campaign performance quickly and identify winning and losing campaigns, keywords, audiences, ads, and landing pages
Aggressively cut wasted spend and reallocate budget toward profitable opportunities
Identify new customer-intent angles, search opportunities, audiences, and campaign structures competitors may be missing
Continuously test new messaging, offers, targeting, keywords, creative, and landing-page approaches using direct-response principles
Optimize campaigns against CPA, CPL, conversion rate, lead quality, and overall acquisition economics
Monitor search-term data, conversion tracking, attribution, call tracking, and landing-page performance
Launch new campaigns and work directly alongside leadership to expand into new markets and industries
Take increasing ownership of advertising spend, with a target of managing at least $100k/month in Google Ads spend within 90 days
Make fast, data-backed decisions rather than waiting for lengthy reporting cycles
Requirements
Proven track record in Direct Response marketing with a deep understanding of customer desire, intent, and buying behaviour
Advanced / expert-level Google Ads expertise
Strong Meta Ads experience
Proven experience generating leads and/or inbound phone calls through paid advertising
Demonstrable experience optimizing campaigns against commercial performance metrics such as CPA, CPL, ROAS, conversion rate, and lead quality
Highly analytical mindset with the ability to turn campaign data into immediate, actionable decisions
Experience launching campaigns from scratch, diagnosing poor performance, cutting losers, and scaling winners
Experience managing meaningful advertising budgets; $50k–$100k+ monthly Google Ads spend is strongly preferred
Strong understanding of conversion tracking, attribution, call tracking, search-term analysis, budget allocation, A/B testing, and landing-page performance
A no-nonsense, high-accountability attitude. You care about performance more than process or corporate bureaucracy
Fast, decisive, competitive, hands-on, and comfortable operating with significant autonomy
Low-ego and highly coachable, with the ability to receive direct constructive feedback without becoming defensive
Exceptional command of written and spoken English
Availability to work strictly 9-5 CST
Nice-to-Haves
Experience with home-service lead generation, particularly:
HVAC
Plumbing
Roofing
Electrical
Solar
Restoration
Pest control
Landscaping
Remodeling
Experience in other high-intent lead-generation verticals such as legal, insurance, financial services, healthcare, automotive, or real estate
Previous experience working in a high-performance digital marketing or growth agency
Experience with pay-per-call campaigns
Experience managing $100k+/month in Google Ads spend
Proficiency with Slack
Benefits
💻 Fully Remote: Work from anywhere with international teams
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
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
We're looking for a product marketer to join the Claude Platform Product Marketing team. You'll drive go-to-market for launches across the platform, from new API features and developer tools to the capabilities that ship with new models.
In this role, you'll partner with Product to bring new capabilities to market, write the positioning and messaging that explain what each one does and who it's for, and give Sales the narratives and materials they need to win technical deals. If you've run launches for developer platforms, API products, or technical infrastructure and want to launch new capabilities every week, this role is for you.
Responsibilities
Lead end-to-end go-to-market planning and execution for new platform products, features, and capabilities
Develop compelling product messaging, positioning, and value propositions aligned with technical audience needs
Drive product launches that generate market momentum, from flagship releases to incremental feature updates
Design and implement developer marketing campaigns to drive API adoption and platform usage
Support sales enablement initiatives that equip our teams to win: battlecards, pitch materials, customer stories, and objection handling
Partner with Product to shape roadmap priorities based on competitive intel, customer research, and field feedback
Work closely with Developer Relations, Comms, Creative, Marketing, and Sales to effectively bring new products to market
Minimum requirements
Have a proven track record of developing and executing go-to-market strategies for API products or developer tools, including successful product launches
Have a strong technical background with the ability to understand and communicate complex AI features to both technical and non-technical audiences
Excel at cross-functional collaboration, particularly in aligning Product, Sales, and Marketing strategies
Possess strong storytelling skills with a demonstrated ability to create diverse marketing content, including blogs, presentations, sales collateral, website copy, and customer case studies
Have exceptional writing skills with a demonstrated ability to adapt tone, style, and complexity for diverse audiences (executives, technical users, end customers) and formats (long-form content, product briefs, email campaigns, social media)
Preferred requirements
Have 10+ years of product marketing experience and at least 5 years focused on developer platforms, APIs, or technical products
Experience in highly competitive markets requiring sharp differentiation
A background in marketing AI/ML products or developer tools to enterprise buyers
Experience working closely with Sales teams on strategic, technical deals
Role-specific policy:
For this role, we expect all staff to be able to work from our San Francisco or New York office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional AI-Native Senior, Data Analyst to join our Reporting team. Our team delivers insightful, high-quality analysis to our clients on their healthcare use and their engagement with the Garner product. The team supports a combination of developing new scalable reports that we create at higher volume, and innovative custom analysis to provide insights for specific client situations.
The Senior Data Analyst partners with our externally-facing relationship managers to address specific client questions via custom and automated analysis. Supporting this responsibility, this role must deeply understand and improve upon the full suite of our existing automated reports, consistently identifying and implementing ways to improve their efficiency, accuracy, and client-impact.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Own and own client-facing analysis end-to-end.
Build, maintain, and produce key reports for clients across our data ecosystem, from scoping to delivery.
Be a thought partner to our client-facing teams.
Use a deep understanding of our clients and the Garner product to partner with stakeholders, answering questions via analytically robust reports and presentations.
Build scalable report automation.
Collaborate with the data engineering team to create maintainable automation to create an ever-evolving suite of client reporting.
Develop deep domain expertise.
Build a strong understanding of your analytical domain so you can independently drive meaningful insights.
Identify opportunities to improve outcomes through analysis.
Identify gaps between the needs of our clients and our reports, proactively develop new insights to fill them.
Raise the bar on data practices.
Advocate for best practices in visualization, documentation, metric consistency, and stakeholder communication across teams.
Answer high-stakes, ambiguous questions.
Run deep-dive investigations into complex business problems — the kind of analysis leadership uses to make strategic calls.
The ideal candidate has:
5+ years
of experience
in Data Analytics, Business Intelligence, Consulting, or a similar data-centric role.
Cross-functional translation.
Ability to translate ambiguous business questions into data-driven solutions and to work effectively with non-technical stakeholders.
Autonomy and ownership.
Comfortable working independently and owning reporting projects end-to-end.
Automation mindset.
Attention to detail with a bias toward automation and scalability over one-off work.
AI Nativity.
Comfort with and excitement about building analytics, building dashboards, and validating results by harnessing the power of AI agents.
Making data accessible
. A track record of using data analysis to communicate business solutions.
Modern data stack.
Hands-on with Snowflake (or a comparable cloud warehouse) and SQL at scale; experience with dbt strongly preferred — you'll partner with Data Management in governed pipelines, not just consume their outputs.
A desire to be part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback.
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Compensation Transparency:
The target salary range for this position is $167,000 - $210,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: New York, NY (HQ)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
Ramp is looking for a Performance Marketing Manager to own paid acquisition on YouTube, ChatGPT, X, Rideshare, and Reddit, and to find new incremental channels. You'll take early experiments and turn them into measurable programs and build the operating model that makes successful channels part of Ramp's evergreen performance marketing mix.
This is a high-autonomy role. You will evaluate channel opportunities, design tests, launch campaigns, and analyze full-funnel performance. You'll work with Growth, Creative, Data, Finance, and other cross-functional partners to move quickly while maintaining a high bar for measurement & efficiency.
You’ll use AI as a practical part of the job: building systems that speed up research, campaign creation, performance analysis, and day-to-day channel operations.
WHAT YOU'LL DO
- Own performance on YouTube, ChatGPT, X, Rideshare, and Reddit. Understand how conversion events, value signals, and lookalike audiences work at a technical level and use that to make channels more efficient over time.
- Identify, evaluate, and prioritize new performance marketing channels and acquisition opportunities.
- Build the path from experiment to evergreen program: prove incremental SQLs and pipeline impact, hit LTV-to-CAC efficiency targets, and document a repeatable operating playbook.
- Own channels as they mature. Decide when a program stays with you and when it transitions to a dedicated owner so you can keep finding new ones.
- Analyze performance across the full funnel. Turn incomplete or noisy data into a clear call on what to scale, improve, pause, or stop.
- Partner with data and engineering to improve tracking, attribution, and reporting, and with Creative on messaging, format, and ad concepts across surfaces, audiences, and channels.
- Build AI agents, workflows, and tools that help the team test more ideas and operationalize channels faster.
WHAT YOU NEED
- 3+ years in a performance / quantitative marketing, growth, or comparable decision-science role, where you’ve owned numbers and shaped meaningful outcomes.
- Strong analytical judgment. You can define success metrics, diagnose and isolate performance issues, and make decisions with imperfect information.
- You enjoy designing experiments and translating results into a clear call on what to fund, scale, or kill.
- You've built AI workflows, automations, or agents to improve marketing execution and you have good judgment about where AI accelerates the work and where human review is necessary.
- You move projects from ambiguity to a clear outcome with limited direction and you're detail-oriented in campaign setup, tracking, and measurement.
NICE-TO-HAVES
- B2B experience.
- Experience bringing an experimental channel into a scaled program.
- Familiarity with attribution, incrementality testing, randomized controlled tests (RCTs), MMM, and marketing measurement.
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Remote - Germany; Remote - EMEA
Workplace: Remote
About You
You're a jack-of-all-trades with a passion for cool technology and interacting with people and making them happy. You're a self-starter who's good at triaging problems and working on the most important one. You've worked directly with customers for a long time and are comfortable being the face of the company to them. One of the things that pleases you most in life is customers successfully using your product, being thrilled with its value, and telling you they're happy they partnered with you. Further, you're a curious person, and you'd love the opportunity to work with a technology team that includes data scientists, algorithm experts, back-end and front-end engineers to expand your knowledge.
About Us
Constructor.io http://Constructor.io powers product search and discovery for some of the largest retailers in the world. We serve billions of requests every week, and you've probably seen our results somewhere and used our product without knowing it. We differentiate ourselves by focusing on metrics over features, and reinventing search and discovery from the ground up as a machine learning challenge with the specific goal of improving metrics like revenue. We're approximately doubling year over year despite the market slow down and have customers in every eCommerce vertical.
We're a passionate team of technologists who love solving problems and want to make our customers' and coworkers' lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they think is best can lead to great things.
About The Position
As a Customer Success Manager, you'll be joining a rapidly growing team that helps our customers increase their revenue by improving the search and product discovery experiences of their websites and mobile apps through integrating with our services.
Your specific responsibilities will include:
- Own the customer journey from project kick-off, launch, adoption, and ongoing value realization, ensuring customers achieve meaningful business outcomes and are delighted with the partnership.
- Build trusted relationships across complex enterprise organizations, engaging confidently with stakeholders ranging from engineers, data and product teams to Heads and Directors of Ecommerce, Digital, Product, and Technology, as well as VP and C-level executives.
- Understand the goals, priorities, and influence of different customer personas, and align technical and business stakeholders around a shared success plan.
- Translate technical concepts, product capabilities, and performance data into clear business value, connecting Constructor’s work to outcomes such as conversion, revenue, customer experience, and operational efficiency.
- Plan and lead effective QBRs and EBRs that go beyond reporting: communicate measurable impact, facilitate strategic conversations, make recommendations, and align stakeholders on priorities and next steps.
- Identify risks, blockers, and changing customer priorities early. Lead escalations with clarity and urgency by defining the business impact, engaging the right internal teams, setting expectations, and maintaining customer confidence through resolution.
- Advocate effectively for customer needs while exercising strong judgment about when engineering involvement is required, how requests should be prioritized, and when an alternative solution can deliver the desired outcome.
- Use customer insights, performance data, and ecommerce best practices to provide proactive, strategic recommendations, not simply respond to requests.
- Maintain clear success plans, stakeholder maps, account documentation, training materials, and agreed actions so that both the customer and Constructor teams remain aligned.
- Partner closely with Account Management to support retention and growth by demonstrating value, strengthening executive relationships, and identifying opportunities to expand the partnership.
- Continuously improve how we onboard, integrate, and support customers, sharing repeatable best practices that make our processes more scalable and the customer experience more effective.
Requirements
- Based in EMEA, ideally in the DACH region —particularly Germany. Fluency in German is an advantage but not required.
- At least three years of experience managing relationships with enterprise customers in Customer Success, Account Management, Solutions Consulting, or a similar customer-facing role.
- Experience working with complex enterprise organizations and building trusted relationships with stakeholders ranging from technical teams and product leaders to Ecommerce Directors, VPs, and C-level executives.
- Strong executive presence and the confidence to lead strategic customer conversations, including QBRs and EBRs.
- Strong influencing and stakeholder-management skills, including the ability to create momentum and drive progress without direct authority.
- Strong problem-solving skills, intellectual curiosity, and the ability to learn quickly in a fast-moving, technically sophisticated environment.
- Experience in ecommerce, digital commerce, search, product discovery, or a related field is highly valued.
Benefits
- A competitive compensation package including stock options
- Fully remote team - choose where you live
- Work from home stipend! We want you to have the resources you need to set up your home office
- Apple laptops provided for new employees
- Training and development budget for every employee, refreshed each year
- Parental leave for qualified employees
- Work with smart people who will help you grow and make a meaningful impact
- Diversity, Equity, and Inclusion at Constructor
At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.
How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.
Location: Toronto, Ontario, Canada
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About The Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
We’re seeking an enthusiastic Software Engineer to join our fast-growing data company. As a part of the databases team, you will help drive performance improvements, improve reliability/architecture and build new features for our Oracle data pipeline services.
This is a full-time position based out of Fivetran's Toronto office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration.
Technologies You’ll Use
• Java
• Oracle
• AWS, GCP, Azure
• Bazel, Docker, Kubernetes, Github
What You’ll Do
• Write and deliver code reliably, along with automated tests (unit and integration)
• Optimize code to make it more performant
• Break down project work into tasks with estimates
• Give and receive feedback through code reviews
• Collaborate daily with team members to develop new features and improvements while minimizing technical debt
• Resolve customer issues in collaboration with customer support
• Work across the software development lifecycle: requirements, design, prototype, implementation, review, release, and monitoring
• Use AI coding agents to automatically generate code for use cases such as incident resolution, feature development, testing, and investigations
Skills We’re Looking For
• Expertise in Java development
• Experience developing reliable software with high-volume data management under strict SLAs
• Experience working with popular cloud platforms (e.g. AWS, GCP, Azure)
• Experience using AI coding agents for development
• Knowledge of popular databases (e.g. Oracle, MySQL)
• Knowledge of and appreciation for clean code practices
• Ability to troubleshoot problematic code and identify root cause(s)
Optional Bonus Skills
• Experience working with Oracle change data capture
• Experience developing data integration tools (ETL or ELT)
• Experience identifying and optimizing performance bottlenecks in distributed systems
This role represents new headcount added to the team to support continued growth and expansion of capabilities.
#LI-HYBRID #LI-VA1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Ontario Pay Range
$113,702
—
$136,448 CAD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: EMEA; Ireland; Portugal; United Kingdom; Spain; Brazil; Canada
✨ ONE PLATFORM, A WHOLE WORLD OF OPPORTUNITY
The best jobs have always clustered in a handful of the world's wealthiest cities. But talent is everywhere. Oyster set out to close that gap - building a global employment platform that lets companies hire, pay, and care for brilliant people anywhere.
We're proof that a high-performing culture doesn't need an office. Distributed across 60+ countries since 2020, we've built something the industry keeps noticing:
- Ranked #10 of 250 on TIME and Statista's 2026 list of America's Top WorkTech Companies https://www.oysterhr.com/library/oyster-hr-named-10-of-americas-top-worktech-companies-of-2026-by-time
- Named one of America's Greatest Startup Workplaces 2026 https://www.oysterhr.com/library/oyster-2026-newsweek-award by Newsweek
- A G2 Spring 2026 Leader https://www.oysterhr.com/library/oyster-named-best-roi-for-any-global-employment-platform-for-g2-spring-2026 across Employer of Record, Global Employment, Multi-country Payroll, and HR Compliance
- The only B Corp-certified global employment platform ~ independently verified since 2023
Two of those rankings measured our business impact from the outside. One measured how our own people feel about working here. They landed in the same place ~ because at Oyster, culture and performance aren't separate conversations. They're the same one.
And we're just getting started. If you want to do the best work of your career alongside people who care as much as you do, we'd love for you to apply.
Location: While this position is posted in a specific location, all of Oyster’s positions are fully remote and you can work from home. Forever. We're open to candidates based anywhere in the AMER or EMEA regions.
Role Summary
We are hiring a content marketing lead to set the company-wide direction for Oyster’s editorial narrative: the category story we tell about the future of work, the arguments our executives make in public, and the original research that HR, Finance, and Legal leaders cite when making decisions.
You will operate as an AI-first functional lead rather than a traditional editorial manager. There are no direct reports, deliberately. Your leverage will come from the AI systems and governance you design—research agents, brand-voice models, fact-checking, source verification, repurposing, and evaluation—plus the senior stakeholders, freelancers, agencies, and subject-matter experts you mobilize.
We are looking for the person who wants to find out how much editorial ambition one exceptional operator with a well-built AI stack can carry, and who will set the standard for what an AI-native content function looks like. The scope is unusual for a single role: a live audience across our library, newsletter, and podcast; a leadership team that publishes and speaks; proprietary employment data from 180+ countries; and the mandate to build this function the way it should be built, not the way it has always been done.
Key Responsibilities
Own the narrative
- Define Oyster’s long-term editorial and category strategy across Marketing, executive leadership, Product, People, Legal, and customer-facing teams.
- Resolve high-stakes narrative trade-offs and establish the positions, evidence standards, and language Oyster uses consistently across business areas.
- Own a multi-year editorial roadmap and a focused portfolio of flagship research and thought-leadership bets linked to company strategy.
- Act as the final quality bar for voice, accuracy, evidence, and taste across human- and AI-produced content.
Build company-wide AI content mechanisms
- Architect and govern reusable systems for research, brand voice, fact-checking, source verification, repurposing, evaluation, and reporting.
- Define risk-based rules for where AI leads, where humans lead, and where specialist or executive approval is mandatory.
- Establish mechanisms and standards adopted across Marketing and relevant partner teams, not only within the content workflow.
- Measure leverage through throughput, cycle time, cost, adoption, quality, and business impact; evolve the system each quarter.
Lead thought leadership and executive voice
- Set the operating model for executive publishing and advise leaders on the arguments Oyster should make publicly.
- Turn proprietary employment, salary, and hiring data into a durable original-research programme that shapes external conversation.
- Mobilize newsletter, podcast, events, PR, analyst relations, Product Marketing, partner/customer storytelling, and social around shared narratives.
Own business impact
- Connect editorial and narrative decisions to company growth, customer trust, target-account engagement, earned influence, and pipeline.
- Build reporting that enables executives and teams to make better portfolio and investment decisions.
- Identify emerging market shifts early and recommend company responses before they become obvious.
Mobilize the extended organization
- Set direction for senior stakeholders, freelancers, agencies, specialists, and subject-matter experts without relying on formal authority.
- Create decision rights, operating rhythms, and shared standards that enable multiple teams to execute consistently.
- Define the long-term roadmap and future organizational shape of the capability, including what remains expert-led, becomes a system, or requires hiring.
Core Requirements
- 8+ years in content, editorial, or brand journalism, including senior ownership of a brand narrative or thought leadership programme at a B2B technology company.
- Evidence of setting a company or category narrative that changed decisions, earned external authority, and was adopted across teams.
- A portfolio of work that earned attention on merit through citations, quotations, debate, or organic sharing.
- A demonstrated AI-first practice beyond drafting, including agents, custom workflows, evaluation, QA, governance, and adoption by others.
- Exceptional English-language editorial judgment, writing, editing, sourcing, and voice control.
- Ability to turn proprietary data and complex research into clear, defensible arguments with business relevance.
- Experience making high-leverage trade-offs and setting direction across executives and multiple functions without formal authority.
- Proven ability to build scalable mechanisms, operating standards, and roadmaps that enable others to deliver consistently.
- Genuine motivation to operate as a high-autonomy IC with no direct reports and company-critical scope.
Bonus
- Domain background in HR tech, global employment, future of work, fintech, or another compliance-heavy category.
- Experience with AI search visibility — optimising for how assistants retrieve, summarise, and cite sources.
- Multimedia range: video, podcast, or design fluency.
- Experience standing up an in-house newsroom or an original research programme.
- You have worked or lived across multiple markets, or speak more than one language.
This might not be right for you if...
- You want a people-management role now rather than a high-autonomy IC remit.
- Your AI experience is primarily prompting for drafts rather than building and evaluating systems.
- You prefer high-volume production to a small portfolio of high-conviction work.
- You are uncomfortable challenging vague, unsourced, or off-voice work—including work from senior stakeholders.
- You need a tightly defined execution plan rather than shaping a function under ambiguity.
You'll also need
- A reliable home internet connection and fluency in both written and spoken English
HOW WE WORK TOGETHER AT OYSTER
Our values guide the work we do, the decisions we make, and the culture that makes Oyster what it is. We make it happen—progress is our default setting. We drive change, we build and give trust, and we move as one united team.
Our mission is to create a more equal world of work: helping companies everywhere hire, pay, and care for talent anywhere. Everything we do ladders up to our mission. We embrace asynchronous, collaborative work and share how we operate in the Oyster Public HQ https://oysterhr.notion.site/Welcome-to-The-Reef-Oyster-s-Open-Source-Employee-Guide-fc482e3f107c4afd8c85ed217f1d0c1d so other global teams can learn from us.
HOW YOU WORK
With diverse locations, cultures, and needs, we created How YOU Work; https://oysterhr.notion.site/How-YOU-work-ac16c1932e314ffd8cb693e332458395 a program supporting your whole human experience at Oyster:
- Work from anywhere: Oyster has no borders or HQ. As long as work is timely, your team is supported, and you're authorized to work where you live, you can work from anywhere.
- Paid time off: Enjoy 40 days off per year (including holidays and vacation), or more if required by your country.
- Mental health support: Access Plumm https://oysterhr.notion.site/Plumm-3b5e7e70dec6428e975f68f25972cfb7, our mental well-being service.
- Wellbeing allowance: Each month, receive a wellbeing allowance in your ThanksBen wallet to spend on a wide range of options.
- Flexible parental leave: All new parents are eligible for at least three months’ paid leave, with job protection for up to 12 months or as required locally.
- WFH stipend: Receive a stipend for your laptop and home office equipment to get you set up quickly.
✨ THE BEST JOBS SHOULD BE AVAILABLE TO EVERYONE
We embrace diverse perspectives and intentionally build our product and company with an inclusive, global mindset. We encourage you to apply, even if you don’t meet every criterion, and are committed to a trust-based, thriving environment.
Oyster is committed to ensuring equal opportunity of employment for qualified persons with disabilities and actively fosters an inclusive work environment. If you require reasonable accommodations throughout the recruiting process, please email jobs@oysterhr.com with the subject line: Interview Accommodations.
Our available positions are on our careers page. Our team will only contact you from an @oysterhr.com email, and we will never ask for money as part of an interview process or job offer. If you receive a suspicious email about Oyster jobs or are directed to a site other than www.oysterhr.com/careers http://www.oysterhr.com/careers, please report it via our Compliance and Ethics Helpline https://faceup.com/c/8tpzyyye.
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are looking for a Senior Associate, Marketing Operations to own the operational engine behind Garner’s demand generation motion. You will run day-to-day campaign operations, deliver marketing reporting and analysis, and keep lead data flowing to sales with speed and fidelity. This is an automation-first role: you will use AI tools to continuously convert manual work into monitored, hands-free processes, so the role gets more leveraged as you build. This role reports to the Director of Marketing Operations.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Own campaign operations end-to-end, including campaign enrollment, list processing, tracking setup, and CRM data hygiene, ensuring every campaign is accurately tracked and attribution is preserved
Own the marketing ops request queue, triaging and delivering requests within SLA and escalating only what requires systems-level judgment
Use AI tools and automation to convert repetitive campaign ops and request work into hands-free, monitored processes, measured by declining manual effort per campaign
Deliver marketing reporting and analysis, maintaining and automating the reporting library (recurring refreshes and event, webinar, and email performance reports) and executing one-off data pulls and analyses as needs arise
Own day-to-day lead routing operations, monitoring flow health, resolving routing exceptions, and maintaining speed-to-lead as routing logic and data sources evolve
What you will bring to the team:
1–3 years of experience in marketing operations, revenue operations, or a related operational role, preferably at a B2B organization
Hands-on HubSpot experience (workflows, forms, segmentation); Salesforce familiarity is a strong plus
An automation-first mindset: you’re comfortable with detail-oriented execution, and you’re routinely asking how a process could be made repeatable or hands-free
Fluency with AI tools (e.g., Claude) applied to real workflows, or strong motivation to build it fast
Data comfort: confident building reports and working in spreadsheets; SQL or Python exposure is a plus
A self-starter mindset toward understanding, documenting, and navigating new systems
Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.
What you'll get here:
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Compensation Transparency:
The target salary range for this position is $95,000 - $115,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: Poland; Ukraine; Israel; Portugal; Spain
Workplace: remote
About airSlate
airSlate is a global SaaS technology company that develops no-code workflow automation, electronic signature, and document management solutions. Our award-winning products - SignNow, pdfFiller, DocHub, altaFlow, Instapage, and US Legal Forms - serve over hundreds of millions of users and more than one million customers worldwide, helping organizations of every size digitize processes, improve efficiency, and transform how they work.
We’re in an exciting phase of growth and transformation, with teammates in more than 20 countries across three continents and main hubs in the United States, Poland, Ukraine and Philippines.
At airSlate, we’re building value for customers and a culture where growth and innovation go hand in hand. We’re looking for people eager to shape products, scale a company, and thrive in a fast-moving environment.
About Marketing team:
The marketing team handles comprehensive 360º communication and comprises over 150 people. We manage all aspects in-house and operate a robust automation engine. Our combined monthly traffic across all brands exceeds 31 million. As a marketing team member, you'll play a crucial role in the upcoming phase of our brand's growth as we expand and introduce new products to the market.
And now, we are looking for a Senior Email Operations Team Manager who is prepared to contribute to the next chapter of our company's growth.
What you'll be working on:
Strategic
Own email-channel-driven attributed revenue as a business outcome, setting the strategic direction for how email contributes to LTV, retention, and expansion across airSlate products
Define email and push notification strategy in line with product and marketing strategies
Lead churn-prevention and win-back initiatives across email and push notifications as coordinated, signal-driven programs rather than one-off campaigns
Set the email roadmap for 2026 and beyond — audit existing programs, identify gaps and quick wins, and prioritize initiatives across three products against attributed revenue targets
Define how email fits within multi-channel orchestration, establishing boundaries and handoffs between email, in-product messaging, and other channels
Data & use of data
Translate behavioral signals, predictive churn scores, and lifecycle stage classifications into actionable segmentation logic and program triggers
Define data requirements for email programs — specify the user signals, cohort definitions, and event triggers needed from the data engineering team, and own those requests
Own the team's contribution to the revenue attribution model — partner with data teams to define lifecycle-stage KPIs and validate that email is correctly credited under the new attribution framework
Own email dashboards with the data team and align them with lifecycle dashboards, so attribution reporting accurately reflects email's contribution to revenue at each funnel stage
Use generative and agentic AI tooling to drive personalization and automation at scale across a large, multi-product subscriber base
Operational
Manage and develop three email marketing specialists — set priorities, coach on execution quality, and connect daily work to strategic lifecycle goals
Coordinate across the email development team, data team, demand gen, and product stakeholders to deliver lifecycle programs end-to-end within airEML
Maintain and evolve automated email journeys across all four products, with the authority to rebuild or retire programs where data supports it
Ensure email deliverability and list health at scale across a large, multi-product subscriber base
What we expect from you:
5+ years in email marketing as a senior contributor or leader, retention marketing, or lifecycle marketing with an email focus — B2C or B2B SaaS/subscription products at scale preferred
Proven ownership of an email and/or retention/lifecycle program end-to-end — strategy, journey design, segmentation logic, and KPI ownership, not only execution
Familiarity with attribution models, including how attribution windows affect reported email performance and how to navigate model transitions
Experience using behavioral data and predictive models for segmentation, such as churn scoring or lifecycle stage classification
Hands-on experience with a major marketing automation or email platform (Braze, Klaviyo, Iterable, Marketo, HubSpot, or an internal equivalent)
A track record of cross-functional collaboration with Product and Data Science teams, not siloed within Marketing
Strategic thinking at the program level, not only the campaign level
Strong analytical skills, including comfort with dashboards and data-warehouse-sourced data, and the ability to derive lifecycle insights independently
Understanding of email deliverability and list health at scale (100K+ subscriber base)
A Bachelor's degree in Marketing, Communications, Business, or a related field, or equivalent practical experience
Upper-Intermediate (B2) or higher English, written and spoken
What helps you rock:
Experience in a multi-product or multi-brand environment
What we offer
Flexible working environment - Our teams operate across the globe. We value in‑person collaboration in our hubs, but we also embrace remote and hybrid working. You can work from one of our offices in the United States, Poland, Romania or Ukraine, or remotely from many countries.
Competitive compensation and stock options - We offer salaries that reflect local market conditions and experience, plus a performance-based bonus system and stock options so you share in the company’s growth.
Professional growth and learning - We invest in your development through courses, conferences, and access to learning resources. We encourage career growth and internal mobility, supporting teammates who want to explore new opportunities within airSlate.
Health and well‑being - We provide comprehensive benefits tailored to each country, including health coverage, wellness programmes and access to fitness options. We also dedicate quarterly company-wide Mental Health Days, when everyone takes time off to rest and recharge.
Family‑friendly culture - Family life is part of who we are, and we embrace it in many forms. From flexibility for parents to our airSlate Junior Club for kids, to company-wide family days and our pet-friendly approach, we’re committed to making work and life easier to balance.
Giving back - We support charitable initiatives around the world through the airSlate Care programme. Our current focus includes humanitarian aid in Ukraine and other regions, matching employee donations and supporting causes chosen by our teams.
Open communication - We encourage transparent dialogue at all levels. From team discussions to company-wide Q&A sessions with our CEO, we make sure everyone has the chance to be heard and to influence how we grow.
It is airSlate's policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual’s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. airSlate's policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. airSlate is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, airSlate will consider for employment qualified applicants with arrest and conviction records.
Read our Recruitment Privacy Notice to Learn how we process your personal information.
About Core Products & Platform
Core Products & Platform is the foundation that powers the entire product — we build and maintain what every other direction at Fundraise Up depends on, and we directly secure the revenue that drives our mission. We own the full donation lifecycle: from the moment a donor lands on a checkout page to the financial flows behind every transaction, the integrations that connect our platform to the nonprofit's ecosystem, and the platform infrastructure that makes everything scale. Experiment velocity is our competitive DNA. 80%+ of growth experiments run through our products. We move fast, we measure everything, and we never break what matters.
The Role
We are looking for Product Managers to join Core Products & Platform and take full end-to-end ownership of a product domain that directly impacts donation volume, platform reliability, and nonprofit success. These are high-stakes, high-ownership roles. You will set strategy, define roadmaps, write specs that engineering can build from, and drive outcomes — not just ship features. You'll work in close partnership with Engineering, Design, Analytics, GTM, and Customer Success to turn complex problems into elegant, scalable solutions. You won't be handed a finished playbook. You'll help write it.
What You’ll Own
Product strategy and roadmap for your domain — with clear priorities and the reasoning behind every decision
End-to-end delivery from discovery through to launch and post-launch validation
Specifications that engineering can build from — with detailed requirements, edge cases, and acceptance criteria covered
Stakeholder alignment — keeping Engineering, GTM, Support, and leadership informed and coordinated
Domain health — product metrics, reliability signals, and the right balance between new features, experiments, and technical sustainability
What You’ll Do
Define and own your domain's quarterly goals and success metrics
Run structured discovery: customer interviews, behavioral analysis, funnel review, and data exploration
Write engineering-ready specs — clear, with edge cases covered and no open questions left
Partner directly with PM Growth on experiment design and high-velocity delivery
Collaborate with GTM (Sales, CSM, PMM) to resolve enterprise-critical issues and translate client needs into scalable product improvements
Track product health and understand what's driving changes — with clear attribution and causal reasoning
Use AI as a default tool across research, analysis, spec writing, and communication
Requirements
5+ years of experience in Product Management in a B2B SaaS, Fintech, or Enterprise environment
Proven ability to own a product area end-to-end — you take responsibility for outcomes, not just tasks
Strong delivery track record: you ship complex features in high-pressure environments without dropping quality
Ability to write specifications engineers can build from — precise, with edge cases and acceptance criteria
Data fluency: you define metrics, interpret results, and drive decisions with evidence
Systems thinking: you see the product as a whole, understand dependencies, and anticipate the impact of decisions
Strong written and verbal communication in English (C1) and ability to work in a Russian-speaking team
Comfort working in a fast-moving environment where priorities can shift and ambiguity is normal
Nice To Have
Experience in payments, fintech, or financial product flows
Experience in B2B SaaS platforms with API/integration complexity
Experience with A/B experimentation frameworks at high velocity
Familiarity with enterprise nonprofit or fundraising domain
AI at Fundraise Up
At Fundraise Up, AI is a default tool — not an experimental one. We expect every team member to actively use AI in their day-to-day work, identify where AI can change the shape of problems in their function, and grow their fluency as the tools evolve. You should already be using AI meaningfully in your work and understand where it adds value and how it can improve the way you operate.
Why work with us
A strong, collaborative product team that owns what it builds
Clear product vision and access to real customer feedback from global nonprofit leaders
Flat structure: no politics, just great work with great people
Transparent company culture—we share how we’re growing, where revenue comes from, and what’s next
Long-term focus: we offer equity options and value sustained, meaningful contribution
Compensation & Benefits
Compensation range: €5,600 - €6,100 gross. Final compensation determined based on experience, skills, qualifications, alignment with requirements, and location.
31 days off
100% paid telemedicine plan
Home Office Setup Assistance
English learning courses (50% reimbursement, up to $1,000 annually)
Relevant professional education (100% reimbursement, up to $1,500 annually)
Gym or swimming pool (50% reimbursement, up to $500 annually)
Co-working (up to $250 monthly)
Remote working
Equal opportunity employer; inclusive environment; non-discrimination
ГибридГеография найма не уточнена
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.
Bangalore (Hybrid); We encourage candidates from all backgrounds to apply; Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com
ГибридСтажёрNew York, NY (HQ); Relocation expense coverage to NYC or SF (if needed)
San Francisco, CA | New York City, NY | Seattle, WA
УдалённоseniorSouth Africa; Colombia; United Kingdom; Spain; Mexico; Argentina
San Francisco, CA | New York City, NY; We encourage you to apply even if you might need some flexibility for an interim period of time for relocation
seniorNew York City, New York
ГибридNew York, NY (HQ); Relocation expense coverage to NYC or SF (if needed)
УдалённоseniorRemote - EMEA
Toronto, Ontario, Canada
leadWe're open to candidates based anywhere in the AMER or EMEA regions; Establish mechanisms and standards adopted across Marketing and relevant partner teams, not only within the content workflow; EMEA
Автоотклики