Вакансии

You'll be the first person at LawnStarter dedicated to data governance, the owner of whether our data can be trusted, and of the roadmap that makes it more trustworthy every quarter. Trust means the quality and freshness of our source data, pipelines, and reports;

75 000 – 120 000 $

Исследовать подходы к causal inference, uplift-моделированию и оценки эффекта изменения цены; Проектировать временную валидацию, backtesting и бизнес-метрики качества;

Зарплата не указана

Algonova is an international tech school for kids and teens that discovers their natural talent and develops it into in-demand modern skills through individual learning paths. Remote work. Job description.

Зарплата не указана

As Staff Product Manager for Pricing, you will own the strategy and roadmap for how Xometry prices and evaluates manufacturability across the EMEA region — a technical, cross-functional, high-ownership role at the intersection of pricing strategy, manufacturing domain expertise, and applied AI.

Зарплата не указана

As the Senior Staff Machine Learning Platform Engineer, you will own the technical vision and evolution of Faire’s ML platform. You will set standards, influence org-wide architecture, and lead complex, cross-functional initiatives that unlock data science velocity at scale.

248 000 – 341 000 $

As a CSM, you will serve as a named resource and partner for customer organizations. You will build and maintain trusting relationships, acting as a technical resource for day-to-day operational needs.

76 000 – 95 000 $

You'll analyze paid and organic acquisition, investigate website funnel drop-offs, improve attribution, build dashboards, and run experiments with our cross-functional Demand and Supply group. - 2+ years in marketing data analytics.

Зарплата не указана

Маркетингова агенція повного циклу, яка працює з брендами в Україні та за кордоном, шукає SMM Manager для ведення та розвитку digital-проєктів.

Зарплата не указана

Adobe Social Creative Studio, an internal creative team within Adobe focused on producing visual and interactive social media content, is seeking a Senior Videographer for their San Francisco or San Jose locations. The role involves creating high-quality video content tailored for social platforms, requiring expertise in videography and social media trends. Candidates should have strong skills in video production, editing, and storytelling, with experience in managing projects from concept through execution. The position demands collaboration with creative teams to develop engaging social media visuals that align with Adobe's brand and marketing goals.

Зарплата не указана

As a Campaign Marketing Intern, you will support the planning and execution of global marketing programs that drive prospect and customer engagement, sales signals, and pipeline. This role provides hands-on experience in campaign marketing and cross-functional coordination with product marketing, field marketing, execution teams, and agencies.

20 – 25 $

You will: Help the Deal Desk Manager with various tasks.

Зарплата не указана

Anthropic Fellows Program is designed to foster AI research and engineering talent by providing funding and mentorship to promising technical talent regardless of previous experience. Fellows primarily use external infrastructure such as open-source models and public APIs to work on empirical projects aligned with Anthropic's research priorities, aiming to produce public outputs like paper submissions. The program runs multiple cohorts yearly with rolling application reviews, expecting a start in January 2027 but flexible start dates can be requested. The program includes 4 months of full-time research, direct mentorship from Anthropic researchers, access to a shared workspace, connection to the AI safety and security research community, a weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD plus benefits varying by country, and funding for compute (~$15k/month) and other research expenses. The interview process involves an initial application and reference check, technical assessments and interviews, and a research discussion. Applicants are encouraged to apply even if they do not meet every qualification, with emphasis on diversity and inclusion. There are two main fellow tracks: ML Systems & Performance Fellows: - Mentors include Alwin Peng and Zygi Straznickas. - Projects may involve building CPU simulators for accelerator workloads, adding backends for accelerators on open source projects, building on-demand infrastructure, and creating complex synthetic data or environment pipelines. - Candidates should have strong software engineering skills, experience with complex ML systems, ability to balance research and engineering rigor, comfort with large-scale distributed systems and high-performance computing, experience with training or evaluating large language models, and skills in analyzing and debugging model training. - Fluency in Python and full-time availability are required. Reinforcement Learning Fellows: - Mentors include Ruhua Jiang, Kaidi Cao, Sunny Duan, David Brandfonbrener, Colt Steele, Dino Distefano, and Will Williams. - Projects may include building model-based tools to understand and improve AI training data, research on generalization, creating RL environments to improve Claude models and safety-related tasks, and research and implementation of RL algorithms. - Candidate criteria are similar to ML Systems Fellows. Logistics: - Participants must have work authorization and be located in the US, UK, or Canada during the program. - Shared workspaces are available in San Francisco; remote participation is allowed in the UK, US, or Canada. - Visa sponsorship is not provided; candidates must have or obtain full-time work authorization independently. - The program duration is 4 months full-time, with possible extensions and flexibility for partial commitments. Additional notes: - No guarantee of full-time offers post-program, though strong performers may receive offers or continue impactful AI safety work elsewhere. - Anthropic's full-time role policies do not apply to the Fellows Program. - The company emphasizes collaborative, large-scale AI research with a focus on safety, interpretability, and steerability. - Candidates must be fluent in Python and able to commit full-time. - The program values diversity and encourages applications from underrepresented groups. - Safety advice is provided regarding recruitment communications. Apply at the provided link.

Company Overview: Legion Technologies is a pioneer in AI-powered workforce management, offering a SaaS platform that helps large enterprises optimize labor efficiency and improve hourly employee experience through AI-driven demand forecasting, automated scheduling, time & attendance, and employee engagement tools. The mission is to transform hourly jobs into good jobs by providing intelligent automation and greater employee flexibility via a mobile app. Role Summary: The General Counsel (GC) is the chief legal officer and a key executive team member responsible for leading global legal, intellectual property, and corporate functions. The GC partners strategically with the CEO, executive team, and Board, building a high-performing legal organization to support growth, globalization, and product innovation. The GC oversees legal strategy across commercial/SaaS, privacy, AI governance, labor, corporate governance, IP, compliance, and risk management. Key Responsibilities: 1. Legal Strategy & Leadership: — Develop and execute legal strategy aligned with business objectives. — Advise CEO, executives, and Board on legal, regulatory, governance, risk, compliance, fundraising, and transactions. — Build and lead in-house legal team; manage external counsel. — Establish scalable legal processes and playbooks. 2. Corporate Governance & Financing: — Serve as corporate secretary; manage Board and committee governance. — Oversee corporate structure, subsidiaries, and compliance. — Support equity and debt financings, investor negotiations, and governance. — Partner with Finance and People teams on equity plans and disclosures. 3. Commercial, Product & Partnership Counsel: — Provide legal support for commercial operations including SaaS subscriptions, services, partner agreements, and data processing terms. — Collaborate with Sales, Customer Success, Partnerships to manage deal cycles and risk. — Partner with Product, Engineering, Security to ensure compliance of AI-enabled platform and integrations. — Counsel on product features, AI use cases, mobile app, and international expansion. 4. Privacy, Data Protection & Terms of Use: — Own global privacy and data protection program, ensuring compliance with US and international laws. — Oversee Terms of Service, privacy policies, and product policies. — Support security reviews, audits, incident response. — Develop policies and training on data governance and ethical AI use. 5. Labor, Employment & Workforce Compliance: — Advise on employment matters including hiring, terminations, performance, compensation. — Support People team on labor law-compliant policies. — Guide product features supporting labor and scheduling law compliance. 6. Intellectual Property & Innovation: — Develop and implement global IP strategy covering patents, trademarks, copyrights, trade secrets, open-source. — Partner with Product and Engineering to protect AI and workforce management innovations. — Manage IP enforcement and defense. 7. Regulatory, Compliance & Risk Management: — Monitor legal developments in AI, data privacy, employment, software. — Design risk and compliance frameworks. — Support investigations, ethics initiatives. — Coordinate insurance coverage and claims. 8. Strategic Transactions & Corporate Development: — Lead legal aspects of M&A, investments, partnerships. — Provide guidance on competition, antitrust, regulatory issues. Qualifications: — J.D. degree and membership in good standing with a US state bar. — 15+ years combined experience in top-tier law firms and in-house roles, including senior GC roles at high-growth tech or SaaS companies. — Deep expertise in enterprise SaaS contracting, corporate governance, data privacy, IP strategy. — Proven leadership in building legal teams supporting growth and international expansion. — Business-minded advisor balancing risk and commercial objectives. Preferred: — Experience in HR tech, workforce management, fintech, or data-intensive SaaS. — Leadership in AI/ML product legal and ethical issues. — Experience with global customers across North America, EMEA, APAC. — Experience with large enterprise and strategic partners like SAP. Skills & Attributes: — Exceptional judgment, integrity, discretion. — Strong communication translating legal issues for non-legal stakeholders. — Collaborative, low-ego leadership. — Practical, fast-paced, high-growth environment comfort. — Passion for improving hourly work. Additional Information: — Full-time, exempt position. — Some travel required. — Competitive compensation including salary, equity, benefits. Compensation & Benefits: — Base salary $250,000 - $300,000 plus bonus and stock equity. — Benefits include flexible medical, dental, vision plans, 401k, paid time off, parental leave, wellness reimbursement, monthly lunch. Equal Employment Opportunity: — Legion is an equal opportunity employer committed to diversity and inclusion. Contact for disability accommodation: recruiting@legion.co

About Us We’re Fundraise Up - a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. Every month, our technology powers tens of millions of dollars in donations across the globe. We focus on innovation that directly impacts results: faster load times, higher conversion rates, global payment support, and accessibility-first design. Our platform is trusted by many of the world’s leading nonprofits, including UNICEF, the Alzheimer’s Association, and a wide range of global NGOs. With a 4.9/5 rating across top software review platforms, we’re recognized not just for our impact - but for the quality of the product we deliver. About the Role Enterprise deals aren't won by a single email or a single seller. They're won by a coordinated push that reaches every stakeholder in the room, at the right moment, with the right message. As our Account-Based Marketing Manager, you'll own the programs that turn our highest-value Enterprise and Strategic accounts into pipeline. You'll work directly with Sales, Revenue Operations, and Partnerships to build 1:1 and 1:few plays that engage buying groups and move complex, multi-stakeholder deals forward. This is a role for someone who's comfortable building from limited precedent and translating account strategy into campaigns that actually change how a deal moves. What you'll do Own and execute ABM programs for a defined portfolio of Enterprise and Strategic accounts, from strategy through campaign delivery. Design 1:1 and 1:few ABM plays that engage decision-makers and full buying groups, not just single contacts. Partner with Sales on account plans, opportunity progression, and executive engagement, acting as the marketing counterpart to their account strategy. Build personalized messaging and content experiences tailored to enterprise stakeholders, translating account priorities into a value narrative. Run multi-channel campaigns across LinkedIn, email, paid media, content hubs, direct mail, and events, sequencing channels to match where each account is in the funnel. Lead high-touch executive engagement initiatives, including curated dinners, events, and account-specific experiences that build senior-level relationships. Drive account research to surface buying group members, whitespace, and engagement signals that inform where to focus next. Track account engagement, campaign performance, and pipeline impact across the portfolio, and use those signals to reallocate effort toward what's working. Test new ABM tactics and engagement approaches, treating each program as a hypothesis to validate rather than a template to repeat. 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. Skills and Qualifications 4-7 years of B2B marketing experience with strong exposure to enterprise demand generation, ABM, or strategic account marketing. Demonstrated experience executing multi-channel ABM programs targeting complex buying groups. Strong analytical skills, with the ability to evaluate account engagement and pipeline signals and adjust programs accordingly. Experience partnering closely with Sales to support account strategies and opportunity progression. Ability to independently plan and execute marketing initiatives aligned with broader strategic objectives. Experience with Salesforce, HubSpot, LinkedIn, and ABM or intent tools. Comfort operating in a fast-paced environment where priorities shift and plans need to adapt in real time. Nice to Have Experience running executive-level engagement programs (dinners, curated events, VIP experiences). Background in SaaS or fintech, where enterprise sales cycles involve multiple senior stakeholders. You'll Thrive Here If You Treat a stalled enterprise deal as a puzzle to solve, not someone else's problem. Can build a program from scratch when there's no playbook to follow. Read pipeline and engagement data as a starting point for the next test, not a to file away. Move comfortably between big-picture account strategy and the details of a single campaign asset. Build real working relationships with sellers instead of treating Sales as a stakeholder to manage. Hold a high bar for personalization. Generic ABM doesn't move enterprise buying groups. Take ownership of outcomes, not just activity. Pipeline impact is the scoreboard. Give and take direct feedback easily, and adjust fast when a play isn't landing. Compensation The compensation range for this role is $98,000 - $106,000. Final compensation will be determined based on relevant experience, skills, qualifications, alignment with the role’s requirements and location. Perks & Benefits Health, Dental, and Vision insurance covered at 100% for employees, 80% for employee plus dependents, and 70% for employees plus family. FSA and HSA Spending Account. 20 days of vacation, 5 sick days, 11 company holidays plus an additional 1 floating holiday. 401(k) plan with company match. 100% Company-paid short-term disability, long-term disability, basic life insurance and AD&D. Paid parental leave (12 weeks for primary caregivers / 6 weeks for secondary caregivers). Generous home office stipend to support your remote workspace. Annual professional development stipend to support your growth (e.g., workshops, courses, and seminars). Charitable giving program and paid volunteer time off with registered non-profits. Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company. We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.

About LawnStarter LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings. The company is expanding beyond lawn care to become a one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform. About Analytics at LawnStarter The analytics team supports the entire company including product, marketing, operations, and finance. The data platform includes a centralized Redshift data warehouse, modeled in dbt and orchestrated by Airflow, with Segment feeding event data. The team is mid-migration to Lightdash as the single BI platform, replacing Tableau and Metabase. Currently, data quality, tracking standards, and platform hygiene are side tasks handled by analysts. The Role The Analytics Engineering Manager will be the first dedicated person for data governance, responsible for data trustworthiness and the roadmap to improve it quarterly. Responsibilities include ensuring quality and freshness of source data, pipelines, reports, metric definitions, Segment event tracking standards, Lightdash workspace health, data feeding ML models, and data security. The role involves collaborating with product, marketing, ops, and finance to prioritize platform work. It is a hands-on role starting solo, building automation, checks, fixing issues, and establishing scalable processes. Eventually, the manager will hire a Lead Analytics Engineer and grow the function as needed. Key differentiators of the role: - First dedicated governance role, reshaping existing standards. - Owns the data roadmap, discovering business needs and prioritizing work. - Whole-stack ownership from source data to ML models. - Leading the migration to Lightdash, setting up permissions and norms. Responsibilities: - Develop and manage the data roadmap balancing business needs and platform health. - Automate monitoring of data quality and freshness, resolve incidents. - Maintain data lineage and impact analysis to assess downstream effects of changes. - Administer Lightdash workspace, permissions, and rollout. - Extend and guard the semantic layer with governed metric definitions. - Govern Segment event tracking catalog, standards, and drift detection. - Ensure AI data readiness for internal AI tools querying the warehouse. - Manage data security, privacy, access controls, and compliance with US state laws. - Maintain governance documentation, ownership models, and review processes. Challenges to solve: - Convert business requests into a prioritized data roadmap. - Ensure Lightdash migration improves platform usability without dashboard sprawl. - Complete and maintain a trustworthy semantic layer. - Manage event-tracking standards and prevent entropy. - Proactively detect and prevent data pipeline breakages with automation and lineage. Success metrics for year 1: - Zero pipeline incidents from unannounced data changes. - Zero freshness incidents; stakeholders never see stale dashboards. - All business areas use official, well-maintained metrics and dashboards. - Every Segment event has an owner and meets standards. - Governance operates as a documented, sustainable system. Requirements: - Passion for data governance as a craft. - Daily use of AI tools for automation, anomaly triage, and documentation. - Hands-on manager who codes, debugs, and configures personally. - Product-minded, able to translate vague requests into prioritized plans. - Automation-first approach to quality checks. - Ability to enforce standards with clear rules and good tooling. Role exclusions: - Not a large-team leadership role; starts solo with potential to hire one lead. - Not a policy or committee role; hands-on fixing with code and conversations. - Not a BI analyst role; focuses on platform and guardrails, not dashboard building. - Not a mature system babysitting role; involves building and evolving the platform. Technologies involved: - Warehouse & pipelines: Redshift, dbt, Airflow - Ingestion: Fivetran, custom Airflow pipelines - Event tracking: Segment - BI tools: Lightdash (primary), Tableau and Metabase (sunsetting) - AI tooling: Claude Code, Codex, Brain (internal AI toolkit) - Observability: AI-powered Analytics Engineer agent for monitoring and anomaly detection Benefits: - Base salary $75k-$120k/year - Fully remote with asynchronous collaboration - Flexible PTO Equal employment opportunity statement included.

Who we are Typeform is a refreshingly different form builder helping over 150,000 businesses collect data with forms, surveys, and quizzes. It drives 500 million responses annually and integrates with tools like Slack, Zapier, and Hubspot. The company is fully remote and hires candidates based in the UK, Ireland, Germany, Portugal, or The Netherlands. About the role The Agency Partner Manager will own and scale Typeform’s Agency Partner Program by building revenue-generating relationships with marketing, digital, research, customer experience, and professional services agencies. A key focus is Research Flow, an AI moderated research platform that enables teams to design studies, recruit participants, run adaptive conversations, and generate insights quickly. The role involves recruiting and activating partners, supporting their growth, and driving new revenue. The position is part of the Partnerships team and collaborates with Sales, Marketing, Customer Success, Product, and Partner Operations. What you’ll do — Own the Agency Partner Program from recruitment and onboarding through enablement, activation, and ongoing partner success. — Build strong commercial relationships with agencies to extend Typeform’s reach and create new client solutions. — Help partners package Typeform and Research Flow into services across customer research, market research, lead generation, marketing, and customer experience. — Drive net new monthly recurring revenue through agency sourced and influenced opportunities, collaborating with Sales and Customer Success. — Set and manage quarterly objectives for revenue, partner activation, and program growth. — Partner with Marketing on campaigns, webinars, case studies, content, and demand generation. — Refine partner segmentation, tiers, incentives, and reporting to scale the program efficiently. What we’re looking for — Five or more years of experience in partnerships, channel sales, business development, or agency management. — Proven track record of generating revenue through agency or services partners. — Strong understanding of marketing, digital, research, or professional services agency models. — Experience building scalable partner programs and processes. — Strong commercial judgment and confidence managing revenue, pipeline, forecasting, and partner performance. — Excellent relationship management and communication skills with ability to align stakeholders across teams. Nice to have — Experience with software as a service platforms or products with open APIs and integrations. — Familiarity with research technology, customer insight tools, or platform growth strategies. — Experience operating a self-serve or tiered partner program.

Зарплата не указана

About Openbase: Openbase.ai is an AI gateway that helps developers and businesses access multiple AI models through one API, simplifying model access, routing, and usage management to enable teams to focus on building AI products. The MVP is ready. The opportunity: Work directly with the founder to grow Openbase into a business with repeatable customer acquisition, strong retention, and disciplined operations. Own commercial execution including finding first customers, testing acquisition channels, improving onboarding, building partnerships, and organizing people and systems to grow. Aim to reach 10,000 users with clear milestones for activated developers, retained customers, paying accounts, and profitable usage. What you will own: 1. Go-to-market and customer acquisition: — Identify strongest initial customer segments (AI startups, independent developers, agencies, software teams). — Develop positioning and explain why developers should choose Openbase. — Launch and improve acquisition via X, SEO, AI search engines, developer communities, partnerships, targeted outbound. — Test paid campaigns with budgets, conversion tracking, criteria for scaling or stopping. — Build growth roadmap with weekly experiments and monthly acquisition targets. 2. Developer activation and retention: — Own journey from website visit to signup, first API request, first payment, ongoing usage. — Collaborate with engineering to remove onboarding friction, improve documentation, quickstarts, integration examples. — Engage directly with developers to understand usage and retention. — Establish onboarding communications, customer support, reactivation campaigns. — Turn successful implementations into case studies and referrals. 3. Sales and partnerships: — Personally source and close early customers. — Build qualified pipeline of startups and businesses with recurring AI usage. — Develop distribution partnerships with developer tools, AI communities, accelerators, complementary platforms. — Coordinate technical evaluations and customer requirements with engineering. — Build repeatable sales process as demand grows. 4. Business execution and team management: — Translate company goals into weekly priorities, accountable owners, delivery dates. — Recruit and manage freelancers, agencies, future hires across growth, content, developer relations, customer success. — Own marketing budget allocation and evaluate spending against results. — Coordinate customer needs with product and engineering priorities. — Implement workflows and automation to reduce manual work. 5. Metrics and commercial performance: — Maintain dashboard covering acquisition, activation, retention, paying customers, API usage. — Track customer acquisition cost, conversion rates, retention by channel. — Separate customer spending from provider costs and Openbase’s retained revenue and gross profit. — Monitor promotional credits and infrastructure costs to keep growth economically sound. — Provide founder with weekly view of results, blockers, decisions needed. What we are looking for: — Experience leading growth and commercial execution at early-stage SaaS, API, developer-tools, or AI infrastructure company. — Evidence of acquiring users from early starting point with specific numbers and personal contribution. — Understanding of developer audiences and technical product adoption. — Ability to understand API integration, follow documentation, discuss onboarding with engineers. — Hands-on ability to run experiments, analyze funnels, conduct customer calls, manage delivery. — Experience managing budgets and external specialists. — Strong written English, sound judgment, comfort working directly with founder. — Experience with usage-based pricing, developer relations, technical SEO, AI model platforms is relevant. Why join: — Direct ownership of Openbase’s launch and growth. — Close collaboration with founder and engineering team. — Opportunity to build commercial function from earliest stage. — Scope to take on broader company leadership as business grows. How to apply: Send CV or LinkedIn profile with brief answers to questions about past product growth, acquisition channels, approach to first 1,000 activated developers, personal execution vs specialists, location, availability, compensation expectations, and example of growth experiment or operating system built.

Onde is a product IT company and resident of the Belarus High Technologies Park, developing a platform and mobile apps for on-demand taxi, delivery, and other services. Languages required: English (Upper Intermediate or higher); Polish (highly preferred).

Зарплата не указана