Задачи:
— Проводить аудит текущей игровой математики
— Рассчитывать вероятности выпадения, EV, маржу и волатильность кейсов
— Разрабатывать динамический пересчёт вероятностей при изменении цен призов
— Строить модель персонального RTP с учётом бонусов и наград
— Предусматривать защиту от абуза и проверять модель симуляциями
— Реализовать логику и передать команде документацию
Требования:
— Уровень Senior / Lead и практический опыт работы с RTP
— Опыт в игровой математике: iGaming, casino, slots, crash или Gacha
— Сильную базу в теории вероятностей, статистике и оптимизации
— Опыт построения симуляторов и проверки математических моделей
— Навыки разработки на PHP 8+ и/или TypeScript/JavaScript
— Свободный русский язык для общения с командой
— Будет плюсом: Опыт с кейсами, лутбоксами и Gacha-механиками
— Будет плюсом: Опыт персонального RTP и бюджетирования бонусов
— Будет плюсом: Понимание provably fair и защиты игровой экономики от эксплуатации
Условия:
— Полностью удалённый формат
— Проект ориентировочно на 3–4 месяца
— Возможен full-time или part-time
— Возможность спроектировать математическое ядро продукта
— Перспектива дальнейших консультаций и сопровождения
Location: Canada
What The Role Is
We're hiring a Staff MLE for the Discovery team to own recommendations and personalization across Babylist's consumer experience — the homepage feed, product recs, search, and the ML-powered systems that make registry building feel effortless.
Babylist was built on editorial recommendations: products chosen by people with deep baby gear expertise. That editorial foundation is a big part of why millions of families trust us. We're now building ML-powered personalization on top of it, using one of the richest first-party datasets in parenting.
We're early in this work, and we have a real mandate. A small Discovery team has initial retrieval and reranking models live on parts of the site and a steady cadence of A/B tests. We are looking for a Staff MLE who has seen personalization done well at scale and can set the technical direction for where we go next.
Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting personalization problems in consumer e-commerce: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal in millions of completed registries, cross-retailer datapoints, and a user who genuinely wants help.
If you want to join a mature ML org and tune models at the margins, this isn't the right role. If you've worked inside a strong recommendations team, learned what good looks like, and want to build from zero-to-one at a company earlier in the journey, read on.
What You'll Own
You'll be the technical lead for personalization on the Discovery team, working alongside a PM, Engineering Manager, Senior MLE and fullstack software engineers. You set where our models go over the next year or two, sequence the bets that get there, and stay deep in building. A few examples of the problems you’ll get to shape:
Product recommendations across every surface.
Product detail pages, add-next recommendations after someone adds to their registry, vibes/aesthetic representations of products and the shared models underneath them.
Personalizing the Feed.
Deciding which products, editorial content and social content each family sees, and in what order.
Personalizing search.
Bringing what we know about a family into search results, and helping decide how much search should share retrieval and ranking with recommendations.
Making Addie (our AI registry assistant) better at recs.
Working with the team behind Addie so its product suggestions draw on the same models and signals as the rest of the site.
In practice, you will:
Take a fuzzy business problem from first sketch to production model, and own whether it moved the metric.
Make the modeling and architecture calls that span surfaces and are expensive to reverse.
Design the evaluation, offline and online, that tells us a model is good before and after it ships.
Know when a rule or a simple baseline is the right first step, and when it's time to pursue more advanced approaches.
Partner with product, design and data to help shape what's worth building.
Coach engineers on the team, and more broadly be an ML expert and resource to the wider engineering org.
Who You Are
You’ve shipped recommendation and/or personalization systems that reached real users at scale within a consumer product, and can point to the business impact of your work. You’ve done this within a team that did ML well — you know what good looks like, and are motivated to bring that to a company earlier in their ML journey.
You bring:
Expertise in recommender fundamentals: for example, candidate generation vs. ranking, offline vs. online evaluation, cold start solutions, and handling position and popularity bias.
Fluency in the Python ML stack and comfort owning models through deployment and monitoring, including contributions to our application backend.
An ability to take an ambiguous problem and start moving before anyone hands you the full picture.
A builder's instinct for early-stage ML. You understand effort vs. effectiveness tradeoffs and can advocate for when a rule beats a model, or a model is “good enough” for early learnings.
An outcome and user focused mindset. You measure yourself by business impact, and you can connect a model change to user experience & registry adds, conversion or revenue.
AI-native daily practice. You're already using AI to move faster and improve your output, and you stay curious about what's coming next.
Compensation
We post real numbers. For a Canada-based Staff Engineer, the starting base salary range is 299,300 to 372,600 CAD plus a target annual bonus of 20 percent of base. That's total target cash of roughly 359,160 to 447,120 CAD. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope.
How We Build
AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome.
The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers.
The Stack
Core app:
Rails, Packwerk, React, TypeScript, Sidekiq
Mobile:
iOS (Swift), Android (Kotlin)
Data, search & events:
MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma
Machine learning:
deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow
AI & dev tooling:
Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim
Infra & ops:
AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly
Key integrations:
Shopify (payments), Iterable (CRM)
Why Babylist
An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done.
Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide.
How We Work
Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis.
How We Hire
Three rounds, usually two to three weeks start to finish.
Recruiter conversation (30 minutes).
Trade context: what you want next, what we're building and straight answers on comp, team and remote.
Technical screen (1 hour).
One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles.
Final round (4 hours).
Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours.
If your timeline is tight, tell us and we'll move faster.
Benefits
Company-paid medical and fully covered dental and vision
A 401(k) match
Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program
Winter Wonder Week, a paid company-wide week off at the end of the year
A remote-work stipend
Mental-health and wellness support
A Few Things To Know
We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws.
We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking.
If you have a family member or close relationship with a Babylist employee, let your recruiter know.
Official outreach only ever comes from an @babylist.com address
Location: United States
What The Role Is
We're hiring a Staff MLE for the Discovery team to own recommendations and personalization across Babylist's consumer experience — the homepage feed, product recs, search, and the ML-powered systems that make registry building feel effortless.
Babylist was built on editorial recommendations: products chosen by people with deep baby gear expertise. That editorial foundation is a big part of why millions of families trust us. We're now building ML-powered personalization on top of it, using one of the richest first-party datasets in parenting.
We're early in this work, and we have a real mandate. A small Discovery team has initial retrieval and reranking models live on parts of the site and a steady cadence of A/B tests. We are looking for a Staff MLE who has seen personalization done well at scale and can set the technical direction for where we go next.
Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting personalization problems in consumer e-commerce: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal in millions of completed registries, cross-retailer datapoints, and a user who genuinely wants help.
If you want to join a mature ML org and tune models at the margins, this isn't the right role. If you've worked inside a strong recommendations team, learned what good looks like, and want to build from zero-to-one at a company earlier in the journey, read on.
What You'll Own
You'll be the technical lead for personalization on the Discovery team, working alongside a PM, Engineering Manager, Senior MLE and fullstack software engineers. You set where our models go over the next year or two, sequence the bets that get there, and stay deep in building. A few examples of the problems you’ll get to shape:
Product recommendations across every surface.
Product detail pages, add-next recommendations after someone adds to their registry, vibes/aesthetic representations of products and the shared models underneath them.
Personalizing the Feed.
Deciding which products, editorial content and social content each family sees, and in what order.
Personalizing search.
Bringing what we know about a family into search results, and helping decide how much search should share retrieval and ranking with recommendations.
Making Addie (our AI registry assistant) better at recs.
Working with the team behind Addie so its product suggestions draw on the same models and signals as the rest of the site.
In practice, you will:
Take a fuzzy business problem from first sketch to production model, and own whether it moved the metric.
Make the modeling and architecture calls that span surfaces and are expensive to reverse.
Design the evaluation, offline and online, that tells us a model is good before and after it ships.
Know when a rule or a simple baseline is the right first step, and when it's time to pursue more advanced approaches.
Partner with product, design and data to help shape what's worth building.
Coach engineers on the team, and more broadly be an ML expert and resource to the wider engineering org.
Who You Are
You’ve shipped recommendation and/or personalization systems that reached real users at scale within a consumer product, and can point to the business impact of your work. You’ve done this within a team that did ML well — you know what good looks like, and are motivated to bring that to a company earlier in their ML journey.
You bring:
Expertise in recommender fundamentals: for example, candidate generation vs. ranking, offline vs. online evaluation, cold start solutions, and handling position and popularity bias.
Fluency in the Python ML stack and comfort owning models through deployment and monitoring, including contributions to our application backend.
An ability to take an ambiguous problem and start moving before anyone hands you the full picture.
A builder's instinct for early-stage ML. You understand effort vs. effectiveness tradeoffs and can advocate for when a rule beats a model, or a model is “good enough” for early learnings.
An outcome and user focused mindset. You measure yourself by business impact, and you can connect a model change to user experience & registry adds, conversion or revenue.
AI-native daily practice. You're already using AI to move faster and improve your output, and you stay curious about what's coming next.
Compensation
We post real numbers. For a US-based Staff Engineer, the starting base salary range is $233,500 to $290,700, plus a target annual bonus of 20 percent of base. That's total target cash of roughly $280,200 to $348,840. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope.
How We Build
AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome.
The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers.
The Stack
Core app:
Rails, Packwerk, React, TypeScript, Sidekiq
Mobile:
iOS (Swift), Android (Kotlin)
Data, search & events:
MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma
Machine learning:
deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow
AI & dev tooling:
Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim
Infra & ops:
AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly
Key integrations:
Shopify (payments), Iterable (CRM)
Why Babylist
An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done.
Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide.
How We Work
Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis.
How We Hire
Three rounds, usually two to three weeks start to finish.
Recruiter conversation (30 minutes).
Trade context: what you want next, what we're building and straight answers on comp, team and remote.
Technical screen (1 hour).
One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles.
Final round (4 hours).
Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours.
If your timeline is tight, tell us and we'll move faster.
Benefits
Company-paid medical and fully covered dental and vision
A 401(k) match
Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program
Winter Wonder Week, a paid company-wide week off at the end of the year
A remote-work stipend
Mental-health and wellness support
A Few Things To Know
We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws.
We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking.
If you have a family member or close relationship with a Babylist employee, let your recruiter know.
Official outreach only ever comes from an @babylist.com address
Location: Remote, Canada; Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
Data Products integrates GitLab and third-party SDLC data, and builds the dashboards, APIs, and data products that turn it into trusted, interoperable intelligence for customers and internal teams.
This is a 0 to 1 team and we are hiring for a foundational engineering role. That means you bring technical leadership through ambiguity, helping figure out what to build, making the foundational design decisions, and keeping delivery moving while the picture is still forming. You own the full lifecycle of what ships and stand behind it.
What you'll bring
Proven ability to influence as a Staff owning product or platform systems end to end across multiple engineering and product teams.
High agency, i.e finds the owner, clarifies the path, makes the call, and keeps pushing until the work lands.
Force multiplier and raise the people and the codebase around them
Deep full-stack expertise, including strong proficiency in
Go, Ruby
and
Node
.
Depth in at least one of analytics and metrics platforms, graph data systems, CDC and warehouse integration.
Hands-on experience building production AI-powered tool orchestration.
Experience operating multi-tenant systems across SaaS and self-managed deployment.
Direct communicator who builds alignment across teams.
Bias to write things down and make reasoning legible.
What you'll own
Architect how GitLab and third-party data is ingested, modeled, and synced into the knowledge graph as a near-real-time graph of the development ecosystem.
Lead integration with external systems for business context (Jira, observability tools, Zendesk, ServiceNow), indexed into the graph.
Architect the Data Marketplace so customers consume GitLab data through Snowflake, Databricks, and BigQuery with no engineering dependencies.
Publish GitLab observability as OpenTelemetry and broker the data-sharing APIs.
Define operational readiness for everything the team ships across GitLab.com, Dedicated, and Self-Managed.
Translate an ambiguous 0 to 1 problem space into concrete, iterable roadmaps in partnership with Product, Design, and the graph backend team.
Resolve cross-team dependencies across graph backend, AI Platform, and Infrastructure without escalating everything upward.
Mentor senior and intermediate engineers through design reviews, pairing, and code review.
Create organizational leverage through speed. You identify systemic bottlenecks, simplify processes, and design systems that dramatically improve execution velocity.
About the team
Data Products work across three surfaces:
Dashboard and Reporting Framework
Builds AI-native dashboard components so customers and internal teams can see engineering health and GitLab's impact across DORA, VSA, AI Impact, SDLC trends, security, and quality, and launch their own custom dashboards on the same framework.
Internal Ingestion
Ingests third-party data into the GitLab and power tools like Knowledge Graph, building connectors so that signals from systems like Jira, Zendesk, ServiceNow, and observability tools become one queryable, near-real-time graph of the developer ecosystem.
External Ingestion
External makes GitLab and Knowledge Graph data consumable outside the product, through marketplace listings, data-sharing APIs and SDKs, and co-branded partner products.
We are a new team in a highly ambiguous, high-impact space, and we need engineers who can create clarity while building, make practical tradeoffs, unblock cross-team dependencies, and keep pushing until meaningful customer value lands.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$152,800
—
$259,200 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: San Francisco, CA | 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 an experienced leader to oversee Anthropic's global equity administration and payroll operations. In this role, you will lead the teams responsible for our equity compensation administration programs and global payroll operations, ensuring both functions scale accurately, compliantly, and efficiently as we grow — including through listing readiness and public-company operations. You will manage senior functional leaders across equity and payroll, and partner closely with Legal, Tax, HR, and the broader Accounting organization to support our mission to make AI beneficial for humanity.
RESPONSIBILITIES
Lead and develop the equity administration and payroll teams, setting strategy, priorities, and operating cadence across both functions
Own the control environment for equity and payroll: design and document to public-company standards.
Oversee scaling to public-company standards across both functions.
Drive systems strategy across the compensation platforms, from equity to payroll, and surrounding integrations, ensuring a coherent architecture as we scale
Serve as the primary escalation point and executive interface for equity and payroll matters with Legal, Tax, HR, and external providers
Oversee international expansion of both functions, including new-country payroll setup, cross-border equity compliance, and mobility programs
Partner with Accounting on stock-based compensation and payroll accounting, ensuring clean handoffs for close, reporting, and audit
Drive automation and continuous improvement of manual processes across both teams through technology solutions
Build headcount and resourcing plans that scale with the business
YOU MAY BE A GOOD FIT IF YOU
Have 15+ years across equity compensation and/or payroll operations, with significant experience leading senior functional leaders
Have operated equity and payroll functions to a public company standard.
Have deep familiarity with equity management platforms (such as Shareworks or E*TRADE) and Workday payroll, with experience owning cross-system architecture
Have built and scaled global operations across multiple jurisdictions
Are a strong people leader who develops senior functional experts
Thrive in ambiguous, fast-paced environments and default to building scalable processes over adding headcount
STRONG CANDIDATES MAY ALSO
Hold CEP (Certified Equity Professional) or CPP (Certified Payroll Professional) certification
Have experience with international mobility programs, worker secondments, and cross-border tax considerations
Have led complex system implementations or migrations at scale
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:
$570,000
—
$610,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Argentina; Chile
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
We're looking for a senior B2B Growth Marketer to build and scale demand generation for ElevenLabs in LATAM Southern Cone. This is a hands-on, in-country role focused on generating enterprise pipeline, growing our brand with technical buyers, and creating programs that become benchmarks for B2B marketing in AI.
As our first marketing hire in LATAM Southern Cone, your work will shape how Southern Cone businesses discover, evaluate, and adopt ElevenLabs. The goal is to build repeatable marketing engines that make ElevenLabs the top choice for every enterprise.
WHAT YOU'LL DO
- Build integrated B2B marketing campaigns end to end across Southern Cone priority industries — from strategy and messaging through execution and measurement.
- Own field marketing for the region: plan and run self-hosted events (dinners, roundtables, workshops), represent ElevenLabs at third-party conferences and sponsorships, and bring in creative, high-touch formats (experiential activations, executive dinners, partner co-hosted sessions) that build pipeline and brand with technical buyers.
- Localize and execute programs across ABM, content, webinars, partner/customer marketing, executive branding, product launches, and outbound — choosing the right channel for the problem rather than owning a single function.
- Adapt global campaigns and messaging for the Southern Cone market, and feed local insights (buyer behavior, competitive dynamics, regulatory context) back to the global team.
- Partner closely with local sales and the global product marketing, growth, and design teams to keep messaging consistent and execute high-impact campaigns.
- Own pipeline generation and campaign performance for the market, using data to measure results, run experiments, and continuously improve what works.
REQUIREMENTS
- 5 to 7 years of experience at a high-growth technology company - you've built and scaled B2B demand generation programs that created measurable enterprise pipeline, and you know what moved the needle.
- Ownership Pedigree: You have implemented growth and marketing projects from start to finish and held yourself accountable for the ROI.
- Deep knowledge of the Southern Cone market: its enterprise buyers, media landscape, and business culture, ideally with an existing network.
- Work well without much process. This role spans multiple marketing functions and needs someone who sets priorities, spots opportunities, and moves quickly as our first marketer in the market.
- Relentless commitment to excellence — a high bar for quality, clarity, and impact.
- Curious about AI, follows the technology ecosystem closely, and has exceptional judgment on what makes marketing stand out.
#LI-Remote
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: United Kingdom, London
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
About GDFT
Gaming, Developer, and Future Technology (GDFT) are the technology specialists at PlayStation. We build the underlying systems that power core platform capabilities and developer tools. Our mission is to enable world-class gaming experiences by delivering low-level, high-performance technology for PlayStation platforms.
The Role
We are looking for an engineer to join the GDFT department, working on the design and optimisation of PlayStation’s real-time game streaming technologies.
You will contribute to the development of low-latency video streaming systems across current and future PlayStation platforms, working on performance-critical areas spanning frame capture, media pipelines, codec configuration, system services and streaming transport.
The role is particularly suited to engineers with a strong C/C++ background and experience working with native video or media systems, including embedded devices, TV firmware, set-top boxes, consoles, or similar.
Our work sits at the intersection of product engineering and R&D. Alongside delivering production technology, engineers are encouraged to investigate new approaches to reducing end-to-end latency, improving visual quality and reducing bitrate, using measurement and experimentation to determine where meaningful improvements can be made.
What You'll Be Doing
Develop, optimise and maintain low-level C and C++ components within PlayStation’s game streaming stack.
Investigate opportunities to reduce end-to-end streaming latency across frame capture, buffering, encoding, transport, decoding and presentation.
Optimise the use and configuration of hardware video encoders, applying knowledge of codec behaviour and low-latency encoding techniques.
Analyse existing media pipelines to identify unnecessary buffering, memory copies, synchronisation delays and other sources of latency.
Use software and hardware instrumentation to measure system behaviour, validate hypotheses and quantify the impact of performance changes.
Investigate and debug issues across user-space applications, system services and daemon-level components.
Prototype and evaluate new approaches to improving streaming quality, latency and bandwidth efficiency.
Work with engineers and researchers across the wider organisation on areas such as codec development, rate control, Forward Error Correction and emerging media technologies.
Contribute technical findings and recommendations to design discussions, working with senior engineers to determine appropriate production solutions.
Collaborate across teams to integrate and validate streaming technologies within PlayStation platform software.
Attend periodic in-person workshops or team events, with travel possible a few times per year.
What We Are Looking For
This is a mid-level opportunity. You should bring some of the following skills and experience:
Strong proficiency in C and C++.
Experience developing native, performance-sensitive software rather than primarily web or managed application stacks.
Experience working with real-time video, media pipelines, codecs or embedded multimedia systems.
Practical understanding of video compression and media formats, including concepts such as chroma subsampling, bit depth and colour representation, with familiarity of codecs such as AVC, HEVC or AV1.
Understanding of concepts relevant to low-latency video encoding, which may include GOP structures, reference frames, rate control, VBV, quantisation parameters, slices, tiles or hardware codec APIs.
Strong debugging, profiling and performance-analysis skills.
An ability to investigate complex technical problems, identify likely causes and use evidence and instrumentation to support conclusions.
Comfortable working in unfamiliar parts of a large system and developing an understanding of how multiple components interact.
An experimental mindset, with an interest in prototyping, measuring and evaluating alternative technical approaches.
Ability to contribute to technical discussions and work with senior engineers when deciding how findings should be taken forward.
Highly Desirable Skills:
Experience in one or more of the following areas would be advantageous; we do not expect candidates to have experience across all of them:
Familiarity with techniques for evaluating video codec performance, including bitrate/quality/latency trade-offs and objective or perceptual video quality metrics (such as PSNR and VMAF).
Familiarity with compressed video bitstreams and codec signalling, such as NAL units/OBUs, parameter sets, profiles/levels and supplemental enhancement information.
Experience developing native video players, media frameworks or codec pipelines on TVs, set-top boxes, consoles, mobile devices or other embedded platforms.
Experience configuring or integrating hardware video encoders or decoders.
Deeper knowledge of H.264, HEVC, AV1 or other current and emerging video codecs, beyond high-level API configuration, such as reference structures, rate-control behaviour, bitstream structure or encoder-specific optimisation.
Experience optimising real-time video for low latency, visual quality or bitrate efficiency.
Familiarity with frame capture, graphics presentation pipelines, framebuffers or GPU/CPU synchronisation.
Experience identifying and reducing memory copies, queueing delays, memory-bandwidth limitations or other system-level performance bottlenecks.
Experience working with system services, daemons, firmware interfaces or other low-level platform components.
Familiarity with techniques such as content-aware encoding, region-of-interest encoding, adaptive resolution or frame rate, alternative reference-frame strategies or similar streaming optimisations.
Experience with Forward Error Correction or other techniques for improving the resilience of real-time media.
Experience with SIMD, vectorisation, cache optimisation or multithreaded performance tuning with instrumentation.
Experience with console or embedded systems development environments.
Experience with Git, Jenkins or similar CI/CD workflows.
Why Work in GDFT
Focused on platform-wide technology development
Room to explore and innovate within performance-critical system areas
Work on cross-regional collaborative projects
Flexible and relaxed working environment, with strong support for hybrid work
Opportunities for extensive professional development, technical conference attendance, and participation in internal hackathons
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Biassono, Italy; Milan, Italy
Workplace: Hybrid
Artificial Intelligence. Actual Impact.
At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses.
We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive.
So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops.
🚀 THE ADVENTURE AHEAD
Ready to launch your cloud engineering journey by helping power the future of enterprise learning? As a Cloud Engineer I at Docebo, you won’t just keep systems running—you'll collaborate with seasoned mentors to automate, secure, and scale our multi-tenant AWS cloud environments. You will play a vital role in keeping our platforms robust, compliant, and rock-solid for millions of users worldwide. If you're eager to turn complex infrastructure challenges into seamless, high-impact performance, your next big adventure starts here!
🛠️ THE DAY-TO-DAY
- Build the Foundation: Implement defined AWS compute, storage, networking, and IAM changes alongside senior engineers using best-in-class multi-tenant patterns.
- Automate Everything: Craft and refine Infrastructure-as-Code (Terraform, CloudFormation) modules and scripts to streamline routine provisioning, maintenance, and backups.
- Master Observability: Configure dynamic dashboards and alerts in tools like Datadog and CloudWatch to keep a proactive finger on overall system health.
- Troubleshoot & Resolve: Dive into non-production environments to investigate issues, analyze logs and metrics, apply targeted fixes, and escalate complex puzzles when needed.
- Drive Cross-Functional Synergy: Collaborate closely with Product Engineering and Site Reliability Engineering (SRE) teams to translate requirements into smooth cloud changes.
- Guard the Castle: Support critical FedRAMP system patching routines, monitor security compliance dashboards, and take swift action to resolve vulnerabilities.
- Document for Success: Create clear runbooks, configuration updates, and script documentation so the entire team can easily reuse and build upon your work.
⚡ YOUR SUPERPOWERS
- Solid Educational Foundation: A Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or equivalent hands-on project experience.
- Early Cloud Craft: 1–2 years of experience or project work in cloud or infrastructure engineering, with exposure to AWS (or another major cloud provider).
- Tooling & Scripting Chops: Comfort navigating Linux, writing scripts in Bash or Python, and managing code using Git alongside CI/CD tools like GitLab CI or Jenkins.
- Incurable Curiosity: A high interest in modern containerization (Docker, Kubernetes) and Infrastructure-as-Code tools such as Terraform or CloudFormation.
- Growth Mindset: A strong problem-solving approach paired with an enthusiastic drive to continually elevate your cloud engineering skills.
OUR HYBRID WORK PHILOSOPHY 🤝
Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other at either our Milan or Biassono location. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.
OUR TOTAL REWARDS PHILOSOPHY 🎉
Our Total Rewards Philosophy centers around three core areas to reward and care for our People:
- Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success.
- Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being.
- Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.
OUR PROMISE TO YOU 😍
- Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package.
- Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it.
- Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off!
- Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025!
- Fuel for Your Day: Receive a meal voucher for every working day, so you can focus on doing your best work while enjoying a meal that keeps you energized.
- Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.
Location: London
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
Checkout.com http://Checkout.com's Regional Events and Field Marketing Team support the end-to-end management and execution of hosted and sponsored events to drive business growth by partnering closely for our UK and Europe commercial teams. You will collaborate with expert regional marketers to develop and implement a comprehensive account-based marketing strategy, encompassing events, experiential marketing activities, and global initiatives. Your attention to detail, planning skills, and data-driven mindset ensure events align seamlessly with strategic goals.
How You’ll Make An Impact
As an Events Specialist, you'll support the execution of our Regional and Global events. You will work to build strong relationships with commercial teams and collaborate cross-functionally. Your responsibilities will span the entire event lifecycle, including:
- Assist in developing and executing a regional event strategy, including the management of regional events, experiential marketing activities, and participation in major global initiatives, ensuring high-quality execution and alignment with company goals.
- Support end-to-end event planning, including vetting, sourcing, budget management, and on-site execution, while coordinating with cross-functional teams for seamless event experiences.
- Contribute to creating audience acquisition plans grounded in data-driven insights to drive pipeline generation. Leverage your customer-centric proficiency to help build audience targeting based on inputs (e.g., TAM, ICP, Personas).
- Assist in managing key performance indicators (KPIs), reporting, data analysis, and providing comprehensive program performance summaries with actionable recommendations. Work with the team to identify new ways of optimising activity against KPIs.
- Help with the meticulous planning and management of events, optimising processes for scalability and efficiency, and contribute to documentation of processes.
- Use your excellent communication skills to convey complex thoughts and manage multiple external parties effectively.
- Demonstrate strong project management skills, helping to deliver programs and activities within the team with the guidance of senior members.
What We’re Looking For
- Proven experience in a similar role (3+ years), preferably in payments, fintech, or related sectors, or within an event agency.
- In this hands-on and high-impact role, you\'re a self-starter, passionate about data, and proactive in pursuing new ideas.
- Excellent organisational and project management skills, with the ability to juggle multiple projects effectively.
- Ability to establish relationships with stakeholders of all levels to drive excellent collaboration.
- Exceptional writing, communication, and presentation skills with good attention to detail.
- Operational proficiency in event management software, marketing automation, and CRM systems (e.g., Salesforce, Pardot, Zoom, or other).
- Willingness and ability to travel 20%-40% of the time for event management.
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Компания MEDvidi, работающая в сфере HealthTech и AI, ищет AI Product Analyst для команды AI Receptionist. Вакансия рассчитана на специалистов уровня Middle и Senior. Работа предполагает удалённый формат с возможностью сотрудничества из любой точки мира. Основная задача — анализ и развитие продукта в области искусственного интеллекта, применяемого в медицинских технологиях.
Location: Remote
About GiveDirectly
What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need?
Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid.
Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question:
is this doing more good than giving the money directly to people living in poverty?
We’re growing fast, and this is a rare and important moment to join.
We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress.
How we work
Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated:
Recipients first.
Recipients’ preferences come before those of donors or ourselves.
Team next.
We optimize for organizational success, not individual success.
Be proactively candid.
We say what we believe and share information openly.
Create positive energy.
We aim to be a source of energy for colleagues, not a drain.
Think rigorously; act quickly.
We reason from first principles, then act rather than debate.
Know yourself and grow.
We own our imperfections and seek feedback to grow.
Accept reality. Propose solutions.
We focus on what can change and bring solutions, not just problems.
Be productively ambitious.
We take risks for step-change impact, not incremental progress.
If they describe how you like to work and they energize you, this could be a great fit.
Want to learn more? Read and listen:
We are one of
Time100’s
Most Influential Companies of 2026, and our work has been covered by
The Economist
,
NPR
,
TED
, and
The Washington Post
. We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows.
Read our CEO's essay
on what that will take.
Location:
This role is fully remote but must overlap with an East Africa timezone by at least 3 hours.
We are unable to sponsor or take over sponsorship of employment visas in the U.S. or U.K. at this time.
About this role
Individual Giving has set an objective to double new donor acquisition in 2027 and expand our awareness through brand ads for key segments. Paid media is the biggest lever we have to get there, and as Growth Manager, Paid Media, you'll own delivery of this important priority. To help get us there, GiveDirectly is planning to expand its spend on paid media.
We are looking for someone who will be a strong cultural fit—curious, keen not to follow industry standards but to look for disproportionately high-leverage opportunities, keen to constantly learn and adjust, and comfortable launching a paid program without agency support. This role would suit someone comfortable in a fast-paced environment, able to pivot and change tactics based on data and changing circumstances.
Reporting to our Director of Individual Giving, you’ll manage all paid acquisition for Individual Giving across Meta, Google, YouTube, and TikTok, and also work closely with the VP of Marketing to manage all upper-funnel media buys (e.g., newsletters, podcasts, etc.) for both the Individual Giving and Marketing teams. This role is responsible for executing our paid media program end to end, including negotiating and managing contracts, creating ads, capturing screenshots for documentation, publishing campaigns, and monitoring performance. You will also build our tracking and attribution systems and use that data to grow both one-time and monthly giving. To do so, we are looking for a strong individual contributor who is comfortable executing within the platforms without a big team or agency.
The Individual Giving team is responsible for generating revenue across donors with an annual gift below $50k. To do so, the Individual Giving team executes compelling public fundraising campaigns, drives creative donor-facing content, and tests new marketing initiatives aimed at expanding our donor base and raising awareness of direct cash transfers. You’ll join a small but high-performing team that runs several campaigns at once and works with a lot of independence. You’ll partner with Brand and Marketing colleagues each campaign cycle to ensure integrated marketing across all public-facing materials.
Level:
Manager (we are willing to hire at Senior Manager for more experienced candidates)
Reports To:
Director of Individual Giving
Travel Requirement:
Must be able to travel ~1–2 times per year to one of our countries of operation for team retreats or field visits
What you’ll bring:
3–5+ years in growth or performance marketing with a proven track record running paid media to a conversion or revenue target, in-house or agency, across Meta, Google, YouTube, and emerging platforms. Non-profit experience is a plus, but not required.
Experience managing a paid media budget of at least US$5M a year with a track record of strong performance measurement, with the discipline to trust your own data over platform recommendations and the judgment to know when to scale a channel, cut it, or admit it isn't working—pause and reset.
A genuine test-and-learn habit: you design multivariable testing across creative, audience, messaging, and landing pages, using these insights to scale the program.
Strong written communication, the ability to own creative direction of ads (from conception and drafting through launch), and experience with or a strong eye for graphic design (Figma, Canva). You’ll work with content creation teams for bigger projects, but initial ideation and direction should come from you.
Strong, succinct communication, and the ability to work productively with a Brand and Marketing team focused on brand awareness.
Alignment with
GiveDirectly’s values
and active demonstration of our core competencies: emotional intelligence, problem solving, project management, follow-through, and fostering inclusivity.
Experience with tracking and attribution to ensure detailed reports are shared with senior management.
Bonus skills:
Experience with our tech stack (WordPress, Salesforce, PostHog, Google Analytics, Tableau, Zendesk, Ahrefs) or similar tools.
Experience with paid ads with a non-profit of a similar size or an agency supporting non-profits.
What you’ll do
Own paid media strategy and performance to execute growth and brand goals
Develop and execute the paid digital fundraising strategy that acquires new donors, grows revenue, and strengthens long-term supporter value across Meta, Google, YouTube, TikTok, programmatic, and emerging platforms (approx. 50% of time).
Run top-of-funnel brand ads, from placement and contracting to creative direction and development, including podcasts, OOH, and connected TV (approx. 30% of time).
Manage and optimize paid investment daily, monitoring spend, pacing, cost per acquisition, and conversion, and reallocating budget as performance dictates.
Run a continuous test-and-learn program across audiences, creative messaging, channels, landing pages, and donation experiences, and turn results into decisions rather than reports.
Make key and strategic recommendations to the Director of Individual Giving and VP of Marketing on where budget spend should be allocated based on performance data.
Grow one-time and monthly giving through paid
Run acquisition and conversion campaigns for both one-time and monthly giving, testing paid tactics to grow the recurring program—the fastest-growing part of our portfolio.
Optimize the digital supporter journey so paid campaigns connect cleanly to landing pages, donation forms, email, and CRM, maximizing conversion and retention.
Analyze acquisition, conversion, revenue, and retention trends by segment to inform where the next dollar goes.
Measurement & Reporting
Stand up standardized paid-channel attribution and UTM tracking so acquisition spend is evaluable outside the ad platforms.
Build and maintain performance dashboards that connect campaign, website, and CRM data into a single view of what each channel returns.
Develop a forecasting model that projects cost per acquisition and revenue by channel, so budget increases are decisions rather than bets.
Report to senior management on budget and paid campaign performance on a bi-weekly basis.
This role might not be for you if
You are used to relying on an agency for recommendations or ad builds in the platforms themselves.
You do not have experience/familiarity with both upper-funnel and direct conversion paid advertising.
You are not comfortable managing projects from A–Z, including ideation, planning, launching, testing, iterating, and evaluating.
What success looks like in 12–18 months
A clear, measurable contribution to the 2027 goal of doubling new donor acquisition, with a 50–70% share of new monthly donors acquired through paid.
The Google Ad Grant is fully deployed against upper-funnel objectives, in compliance, and contributing measurable qualified traffic.
A documented acquisition model forecasts cost per acquisition and revenue by channel accurately enough to justify a materially larger paid budget.
Compensation
At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third-party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no-negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy
here
. Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income.
This role is fully remote, so if you are not based in Kenya, the US, or the UK, we will share an estimated salary benchmark for the country you are based in during the hiring process.
United States
Base Salary:
$99,940
Bonus at Target Performance:
10%
Annual Benefits Stipend:
$21,393
United Kingdom
Base Salary:
£66,150
Bonus at Target Performance:
10%
Annual Benefits Stipend:
£2,760
Kenya
Base Salary:
$65,000
Bonus at Target Performance:
10%
Annual Benefits Stipend:
$8,454
#LI-REMOTE
Working at GiveDirectly
GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law.
Flagging for US applicants:
We invite you to "
Know Your Rights
" as an applicant.
Commitment to Safeguarding
As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the
Misconduct Disclosure Scheme
, and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens.
These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff.
**GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing, reporting, or responding to any form of abuse or exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.**
Reasonable Accommodations
We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs.
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Location: IN - Jaipur
About the Role
iCapital is seeking an Assistant Vice President, Internal Controls Readiness, to support the Enterprise Risk Management program. This individual will provide hands-on support to the audit team throughout the audit lifecycle, ensuring that evidence, testing, documentation and follow-up activities are completed accurately and on schedule. The individual will demonstrate the ability to independently apply the department’s audit methodology. They will participate in all phases of the audit from planning to reporting, including understanding business operations, scoping the audit, identifying risks and controls, designing and executing testing with minimal oversight and assisting with the writing of audit reports This position will collaborate with senior leadership and cross-functional teams to drive audit excellence and a strong control environment.
The Individual: The ideal candidate will excel in navigating a complex stakeholder landscape while managing concurrent tactical and strategic initiatives. They will possess the ability to perform assessments of IT General Controls and prepare appropriate working papers, including gathering information around understanding the IT environmental and requesting data to support these activities and assist in the Third-Party Vendor audit reports reviews. This individual will maintain a proactive and logical approach to information gathering and present complex ideas through clear communications.
Responsibilities
Control Library: Maintain a Control Library aligned with the Risk Register with relevant control attributes.
Control Design: Design and implement tests to assess the effectiveness of internal controls and compliance with regulatory standards.
Control Testing: Perform control testing across financial, operational, and IT domains, including walkthroughs, re-performance, inspection, and observation techniques.
Control Findings: Review and evaluate evidence to identify control deficiencies and recommend remediation strategies.
Control Management: Collaborate with cross-functional teams to address audit findings and implement corrective actions.
Third Party Review: Perform vendor risk assessments and review third-party control reports from an IT risk standpoint.
GRC Tool: Support the development and enhancement of reporting tools and dashboards
Issue Tracking: Develop and implement mechanisms for issue, complaint, and incident reporting to identify errors and remediate root causes.
Compliance: Ensure compliance with regulatory requirements and industry best practices related to audit.
Qualifications
Education: Bachelor’s degree in Information Technology, Computer Science, Accounting, Finance, Cybersecurity, Internal Audit or related discipline.
Experience
: 6+ years of experience
in IT audit, internal audit, IT risk, compliance or information security.
Presence: Strong work ethic, resourceful disposition, and solutions-oriented mindset with interpersonal skills that enhance partner capacity.
Attributes: Adaptable and entrepreneurial; a willingness to roll up sleeves and get stuff done.
Skill: Exceptional organizational, time management, and written and verbal communication skills. Proficiency in audit management software (e.g., ACL, IDEA) and Microsoft Office Suite
Knowledge: Strong understanding of audit and control frameworks, operational risk assessment methodologies, and industry regulatory compliance requirements.
Experience: Experience with IT General Controls with regards to Logical Access, Change Management, IT Operations testing.
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely one day (Friday).
Benefits
iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO).
For additional information on iCapital Network, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
RESPONSIBILITIES
— Partner with senior GTM leaders in the Financial Services space to design and execute strategies that modernize their revenue operations through Gong’s AI Operating System.
— Map current-state Financial Services customer processes to AI-driven workflows that translate to revenue outcomes.
— Execute adoption initiatives that drive behavior change and embed Gong into daily team rhythms.
— Use data-driven insights to quantify measurable business outcomes that demonstrate Gong’s ROI and strategic value.
— Own the renewal strategy and execution, partnering with cross-functional teams on growth.
— Partner with internal teams to ensure an exceptional customer experience throughout the entire customer journey.
QUALIFICATIONS
— 10+ years proven experience in managing complex enterprise accounts with multiple stakeholders.
— Experience working with Financial Services customers, or working in the Financial Services industry.
— Track record of owning relationships with senior (VP and C-suite) stakeholders and owning value and ROI conversations.
— Passion for driving customer centricity by leveraging internal stakeholders such as Sales, Product, Support, Marketing and executives.
— Excellent communication, negotiation, and presentation skills.
— Data-driven mindset with a focus on delivering measurable outcomes.
— Passion for driving customer outcomes and contributing to a high performing and accountable work culture.
— Self-starter who excels in high paced environments and thrives in change and ambiguity.
— Growth mindset and coachable.
PERKS & BENEFITS
— Variety of medical, dental, and vision plans.
— Wellbeing Fund - flexible wellness stipend.
— Mental Health benefits with covered therapy and coaching.
— 401(k) program.
— Education & learning stipend.
— Flexible vacation time.
— Paid parental leave.
— Company-wide recharge days each quarter.
— Work from home stipend.
COMPENSATION
— Annual salary range $89,600 - $129,500 USD plus 30% variable commission based on performance.
— Compensation based on candidate skills, qualifications, education, experience, and location.
— Location-based compensation structure.
— Total compensation may include incentive compensation, bonus, equity, and benefits.
— Potential to exceed targeted earnings for those who exceed sales targets.
Knock is looking for a proven sales leader to own the performance and growth of Knock's Account Executive organization. You will be accountable for delivering the company plan for leads and loan applications across Account Executives, Senior Account Executives, and Wholesale Account Executives.
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United States
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