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Candidate's Responsibilities
- Ensure the security of company IT infrastructure, including networks, systems, and cloud environments
- Monitor and maintain security controls to prevent unauthorized access
- Manage vulnerability detection, risk assessment, and mitigation processes
- Oversee implementation of security policies and best practices
- Conduct regular security audits and infrastructure reviews
- Manage user access rights across internal systems and tools
- Implement and maintain role-based access control (RBAC) policies
- Monitor access provisioning and de-provisioning processes
- Ensure timely revocation of access for terminated employees
- Maintain access logs and perform periodic access reviews
- Monitor systems for suspicious activities and potential security threats
- Investigate unusual employee behavior related to system access
- Detect insider risks and potential policy violations
- Analyze security alerts and escalate incidents when necessary
- Coordinate incident response and post-incident analysis
- Develop and enforce internal security policies and procedures
- Ensure compliance with security standards and regulatory requirements
- Support internal and external security audits
- Maintain security documentation and reporting
- Promote security awareness within the organization
- Work closely with IT, HR, Legal, and Compliance teams
- Support HR in access control during employee lifecycle events
- Assist Risk and Fraud teams with internal investigations
- Coordinate with external vendors and security providers
Candidate Requirements
- 3+ years of experience in IT Security / Information Security
- Strong understanding of infrastructure security principles
- Experience with access management and identity control systems
- Knowledge of network security, endpoint protection, and monitoring tools
- Experience investigating security incidents and suspicious activity
- Understanding of insider threat detection practices
- Familiarity with cloud security environments (AWS, GCP, Azure — a plus)
- Strong analytical and problem-solving skills
- High level of integrity and confidentiality
- Good English (written and spoken)
Working Conditions
- Remote work format
- Competitive compensation package
- Opportunity to build and improve security processes
- Professional and supportive team environment
- 21 working days of paid vacation
- Career growth opportunities in a fast-growing international company

What you'll do:
- Model Development & Evaluation
- Build and maintain evaluation frameworks for document models, LLMs, OCR, and structured extraction.
- Define metrics, benchmarks, and validation strategies for real-world document workloads.
- Dataset & Pipeline Creation
- Design and curate high-quality datasets for supervised training, fine-tuning, and validation.
- Create scalable preprocessing pipelines for PDFs, scans, images, forms, and semi-structured documents.
- Model Training & Fine-Tuning
- Train and fine-tune transformer-based OCR, VLMs, layout models, and open-source LLMs for document understanding tasks.
- Optimize models for reliability, accuracy, and cost efficiency in production environments.
- Inference & Deployment
- Deploy ML models with modern inference runtimes (vLLM, TGI, TensorRT, ONNX Runtime).
- Build guardrails, monitoring, and fallback mechanisms to ensure safe and predictable model behavior.
- RAG & Document Reasoning
- Develop retrieval and chunking strategies tailored to document structures (tables, forms, multi-page PDFs).
- Optimize end-to-end RAG pipelines for semantic search, Q&A, and workflow automation.
- Cross-Functional Collaboration
- Partner with PMs, backend engineers, and product designers to define AI opportunities and translate requirements into technical solutions.
Who you are:
We are expanding our AI/ML function with an ML Engineer who specializes in document intelligence, vision–language models, and LLM-based extraction and reasoning. You should be comfortable with both traditional document AI approaches and cutting-edge GenAI workflows. You thrive in fast-moving environments, are self-directed, and enjoy solving practical ML problems that directly impact customers.
Requirements:
- 5+ years of Python experience
- Experience training, fine-tuning, and deploying traditional computer vision models for document intelligence tasks (layout detection, table extraction, OCR, information extraction)
- Hands-on experience with document understanding frameworks and models:
- Traditional document AI models (LayoutLM, Donut, DocFormer)
- Modern vision-language models with OCR capabilities (DeepSeek-OCR, LightOnOCR-1B, etc.)
- Experience deploying and optimizing models using inference frameworks such as vLLM (preferred), TGI, TensorRT, or ONNX Runtime
- Experience applying LLMs to document intelligence workflows, including both frontier models and open-source alternatives
- Strong understanding of coordinate systems and spatial reasoning for absolute positioning and field detection in forms/documents
It would be awesome if you had:
- Familiarity with PDF parsing libraries and document preprocessing pipelines
- Experience fine-tuning open-source models for domain-specific document tasks
- Knowledge of evaluation metrics for document understanding tasks (F1, exact match, etc.)
Benefits:
- An honest, open culture that emphasizes feedback and promotes professional and personal development
- An opportunity to work from anywhere — our team is distributed worldwide, from Lisbon to Manila, from Florida to California
- 6 self care days
- A competitive salary
- And much more!

Responsibilities
- Develop and maintain backend services for a web application
- Build integrations with external data sources/destinations (HTTP APIs)
- Fix bugs, handle incidents, and work with technical debt
- Optimize database queries and overall performance (identify and remove bottlenecks)
- Participate in designing mid-sized features and collaborate with QA/Analysts
- Perform code reviews and support junior developers
- Move toward AI-assisted development (vibe coding): generate/refactor code, write tests and documentation with AI tools, with mandatory validation (testing, review, architectural consistency)
Requirements
- 2–3 years of commercial software development experience
- Strong Python or JavaScript skills (backend)
- Hands-on experience using AI tools for coding and understanding how to validate and safely ship AI-generated output
- Database experience: SQL, PostgreSQL (ClickHouse is a plus)
- Solid understanding of HTTP and integration patterns
- SQL query optimization skills
- Ability to work independently in situations with some uncertainty
- Location: outside of Russia
Nice to Have
- Experience with profiling and performance tuning
- Production experience with data pipelines/integrations
- Familiarity with reliability practices: logging, monitoring, alerting
What We Offer
- Remote-first environment
- Strong product/market fit: marketing data product for US-based enterprises
- 20 working days of PTO per year
- US holidays and additional days off
- Extremely fun & open startup environment
- Professional development reimbursement
- Clear growth path toward team leadership
Who You Are
You are a Developer with 2–3 years of experience who is ready to work in an AI-assisted format: using AI tools to speed up development while maintaining quality through architecture, tests, code reviews, and proper validation. You are eager to learn, experiment, and help shape how we work—while staying grounded in quality, reliability, and maintainability.
Tech Stack
Python, JavaScript, SQL, PostgreSQL, ClickHouse (plus), HTTP APIs
Team Description
You will be part of a fast-growing Series A startup that is in the middle of an engineering transformation—adopting modern practices, improving our delivery process, and scaling AI-assisted development in a responsible way.

What you will do as a Farm Underwriter:
- Underwrite and administer risks across new business, renewals and midterm adjustments within Delegated Underwriting Authority limits.
- Produce accurate, compliant documentation across all stages of the underwriting process.
- Demonstrate proactive follow‑up on risks and maintain a high standard of technical decision-making.
- Develop and enhance your technical skills, continuously progressing your underwriting licence and product knowledge.
- Deliver high‑quality underwriting in line with our Quality Control framework.
- Trade confidently and effectively to meet productivity goals.
- Build and maintain strong internal and external relationships.
- Contribute positively to ongoing business development, growth, and change initiatives.
- Ensure all activities meet Group business standards, service standards, and regulatory requirements.
What we are looking for in a Farm Underwriter:
- Proven experience underwriting agricultural risks
- Cert CII (preferred)
- A comprehensive level of specialist market and specialist product knowledge
- A solid understanding of the legal and regulatory insurance landscape
- Confident communication and relationship‑building skills
- A proactive approach, with the ability to balance technical accuracy and commercial decision‑making
Benefits and Perks:
For details on benefits, please refer to our standard benefits page.

The Role
We're looking for a driven and creative Partnerships Manager to spearhead strategic collaborations that amplify Afina's brand presence and accelerate growth. You'll own the full partnerships lifecycle—from identifying and pitching prospective partners to negotiating deals, managing ongoing relationships, and measuring impact. This role spans influencer marketing, professional endorsements, brand collaborations, and affiliate programs.
Key Responsibilities
- Influencer Strategy & Outreach: Identify, recruit, and manage relationships with influencers, content creators, and brand ambassadors across platforms (Instagram, TikTok, YouTube, podcasts) in the beauty, wellness, skincare, and lifestyle verticals.
- Professional Partnerships: Build relationships with dermatologists, estheticians, trichologists, and other skincare and haircare professionals to drive credibility-driven endorsements, co-branded content, and referral programs.
- Brand Collaborations: Source and execute co-marketing partnerships with complementary brands in wellness, clean beauty, home, and lifestyle categories.
- Affiliate & Ambassador Programs: Develop and scale Afina's affiliate and ambassador programs, including commission structures, onboarding, content guidelines, and performance tracking.
- Negotiation & Contracts: Negotiate partnership terms, manage budgets, draft agreements, and ensure all collaborations deliver strong ROI.
- Campaign Management: Collaborate with the marketing and creative teams to develop partnership campaign briefs, content calendars, and launch plans.
- Performance & Reporting: Track, analyze, and report on partnership KPIs (reach, engagement, conversions, revenue attribution). Use data to optimize strategy and inform future investments.
- Market Intelligence: Stay ahead of trends in influencer marketing, the wellness/beauty space, and competitor partnership activity.
What We're Looking For
Required- 3+ years of experience in partnerships, influencer marketing, or business development, ideally in beauty, wellness, skincare, or consumer products.
- Proven track record of sourcing, closing, and managing high-impact partnerships that drive measurable business results.
- Strong existing network of influencers, content creators, or industry professionals in the beauty/wellness space.
- Excellent negotiation, communication, and relationship-building skills.
- Data-driven mindset with experience using analytics tools to measure campaign performance and optimize spend.
- Self-starter mentality—comfortable working autonomously in a fast-paced, entrepreneurial environment.
- Experience working with DTC (direct-to-consumer) brands.
- Familiarity with affiliate platforms.
- Understanding of dermatology, skincare science, or water quality topics.
- Experience negotiating retail or wholesale partnerships.
- Background in content creation or social media management.
Why Join Afina
- Be part of a mission-driven brand that genuinely improves people's daily wellness routines.
- Join at a high-growth stage where your partnerships will directly shape the company's trajectory.
- Remote-friendly culture with flexibility and autonomy.
- Competitive salary, performance bonuses, and equity options.
- Free Afina products and generous employee discounts.

About The Role
The VP of Sales will play a critical role in leading the next phase of growth at Improvado (we just crossed $10M ARR milestone). You will own sales strategy and execution end-to-end: building a predictable, scalable sales engine, growing pipeline, and leading a high-performing global sales team.
You will drive growth across our ICP: U.S.-based enterprise brands and marketing agencies with $1M–$25M+ annual marketing spend and centralized decision-making structures.
This is a hands-on leadership role for a metrics-driven sales leader who knows how to build, scale, and operate modern SaaS sales organizations in a fast-moving environment.
Responsibilities
- Own and execute the company’s sales strategy to drive consistent ARR growth and build a predictable revenue engine toward $20M+ ARR and beyond.
- Build, lead, and scale a high-performing global sales organization, owning both new business and expansion revenue (upsell & cross-sell).
- Champion AI-first sales practices by leveraging AI tools for prospecting, deal intelligence, and productivity; drive adoption of AI across the sales organization.
- Use data to drive decision-making across hiring, performance management, forecasting, and strategy.
- Define and manage sales targets, quotas, forecasting, pipeline coverage, and performance management.
- Establish and optimize outbound, inbound, and expansion motions to significantly grow a qualified pipeline.
- Implement repeatable sales processes, playbooks, and methodologies to improve win rates and sales efficiency.
- Maintain strong, up-to-date knowledge of Improvado’s product and value proposition to guide the team in complex sales cycles.
- Personally engage in key enterprise and strategic deals, providing deal strategy, coaching, and executive presence.
- Partner closely with Marketing, Customer Success, Product, and Leadership to align the go-to-market strategy and execution.
Qualifications
- 6+ years of experience in SaaS B2B Enterprise sales, including leadership roles managing and scaling sales teams.
- Proven track record of building and leading high-performing sales organizations in growth-stage companies.
- Strong experience selling into MarTech, AdTech, RevOps, Data, or Analytics-related markets.
- AI-native mindset with practical experience leveraging AI tools in sales leadership, including pipeline intelligence, automation, forecasting, coaching, and GTM optimization.
- Experience building predictable, repeatable sales processes and revenue models.
- Tech-savvy: capable of selling technical solutions to marketing leaders and business operations stakeholders, clearly connecting product capabilities to business impact.
- Strong leadership & coaching capabilities.
- Comfortable working in a fast-paced, high-growth, startup environment.
What Success Looks Like
- A predictable, scalable sales engine with strong pipeline coverage.
- Consistent achievement (and overachievement) of revenue targets.
- A high-performing, well-structured sales team with clear roles and career paths.
- Improved sales efficiency, win rates, and forecast accuracy.
- Strong alignment between Sales, Marketing, Customer Success, and Product.
- Growing brand presence and deal momentum in the MarTech / Analytics market.
What We Offer
- Remote-first environment.
- Competitive compensation.
- Medical and dental benefits.
- 401K plan.
- Unlimited PTO.
- Paid holidays.
- Professional development reimbursement.

Job Description
Responsibilities
- Design, develop, and optimize business systems related to Oracle, supporting high-concurrency data processing scenarios.
- Participate in microservices architecture development, building distributed systems based on Spring Cloud, Dubbo, and related technologies.
- Collaborate with the database team on database schema design, SQL optimization, and stored procedure development.
- Write technical documentation, ensure code quality, and assist in system deployment and operations.
Qualifications
- Bachelor's degree or above, with 3+ years of Java development experience.
- Proficient in JVM, multi-threading, and network programming.
- Strong expertise in Spring Boot, MyBatis, and other frameworks.
- Familiar with database development and SQL tuning.
- Experience with distributed systems and message queues (Kafka/RocketMQ) is a plus.
- Responsible, with excellent teamwork and problem-solving skills.

What you'll do:
- Model Development & Evaluation
- Build and maintain evaluation frameworks for document models, LLMs, OCR, and structured extraction.
- Define metrics, benchmarks, and validation strategies for real-world document workloads.
- Dataset & Pipeline Creation
- Design and curate high-quality datasets for supervised training, fine-tuning, and validation.
- Create scalable preprocessing pipelines for PDFs, scans, images, forms, and semi-structured documents.
- Model Training & Fine-Tuning
- Train and fine-tune transformer-based OCR, VLMs, layout models, and open-source LLMs for document understanding tasks.
- Optimize models for reliability, accuracy, and cost efficiency in production environments.
- Inference & Deployment
- Deploy ML models with modern inference runtimes (vLLM, TGI, TensorRT, ONNX Runtime).
- Build guardrails, monitoring, and fallback mechanisms to ensure safe and predictable model behavior.
- RAG & Document Reasoning
- Develop retrieval and chunking strategies tailored to document structures (tables, forms, multi-page PDFs).
- Optimize end-to-end RAG pipelines for semantic search, Q&A, and workflow automation.
- Cross-Functional Collaboration
- Partner with PMs, backend engineers, and product designers to define AI opportunities and translate requirements into technical solutions.
Who you are:
We are expanding our AI/ML function with an ML Engineer who specializes in document intelligence, vision–language models, and LLM-based extraction and reasoning. You should be comfortable with both traditional document AI approaches and cutting-edge GenAI workflows. You thrive in fast-moving environments, are self-directed, and enjoy solving practical ML problems that directly impact customers.
We’re looking for someone with experience in:
- Vision transformers, layout models, and OCR systems
- Structured extraction from complex documents
- RAG for document-heavy workloads
- Optimizing LLM pipelines for cost, accuracy, and throughput
- Deploying and benchmarking models in real production systems
Required Experience:
- 5+ years of Python experience
- Experience training, fine-tuning, and deploying traditional computer vision models for document intelligence tasks (layout detection, table extraction, OCR, information extraction)
- Hands-on experience with document understanding frameworks and models:
- Traditional document AI models (LayoutLM, Donut, DocFormer)
- Modern vision-language models with OCR capabilities (DeepSeek-OCR, LightOnOCR-1B, etc.)
- Experience deploying and optimizing models using inference frameworks such as vLLM (preferred), TGI, TensorRT, or ONNX Runtime
- Experience applying LLMs to document intelligence workflows, including both frontier models and open-source alternatives
- Strong understanding of coordinate systems and spatial reasoning for absolute positioning and field detection in forms/documents
It would be awesome if you had:
- Familiarity with PDF parsing libraries and document preprocessing pipelines
- Experience fine-tuning open-source models for domain-specific document tasks
- Knowledge of evaluation metrics for document understanding tasks (F1, exact match, etc.)
Benefits:
- An honest, open culture that emphasizes feedback and promotes professional and personal development
- An opportunity to work from anywhere — our team is distributed worldwide, from Lisbon to Manila, from Florida to California
- 6 self care days
- A competitive salary
- And much more!

About the Role
The Senior Marketing Analyst's primary responsibility is to help clients maximize value from their marketing data. You'll own client delivery end-to-end for your assigned accounts — from data modeling through final reporting. You'll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. This role also involves managing data transformations in dbt and working with complex, multi-source data architectures. You'll leverage AI tools (e.g. Codex, Claude) to accelerate your workflows.
Responsibilities
- Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights.
- Build and maintain dashboards and reports in Looker, Power BI, and Tableau — depending on client setup.
- Design and maintain data models that consolidate data from multiple marketing platforms and sources.
- Map and document data flows across complex, multi-source schemas.
- Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly.
- Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations.
- Manage and enhance data transformations with dbt.
- Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness.
- Use Git for version control and collaboration.
Must Have Qualifications
- Expert-level proficiency in at least one BI platform (Looker, Power BI, or Tableau), with the ability to deliver projects across all.
- 3+ years of SQL experience.
- Proficiency with AI tools and ability to integrate them into daily workflows.
- Experience working with multiple marketing data sources simultaneously (ad platforms, CRM, web analytics, etc.).
- Understanding of data modeling principles (star schema, dimensional modeling).
- Understanding of ELT/ETL concepts and debugging data transformation logic.
- English C1 level with excellent written and verbal communication.
- Ability to communicate directly with clients and stakeholders.
- Takes ownership and responsibility for their work and results.
- Can present their work and insights confidently to clients.
- Consistently checks their own work for quality, accuracy, and completeness before delivery.
- Strong analytical skills, proactive problem-solving, and close attention to detail.
- Comfortable with ambiguity and able to drive clarity with clients and internal teams.
- Hands-on experience with QA/UAT processes.
Nice to Have
- Knowledge of Google Analytics (for business understanding).
- Knowledge of Google Analytics Data Streams.
- Familiarity with marketing platforms data (Google Ads, Facebook Ads, etc.).
- Understanding of Marketing Mix Modeling (MMM) concepts.
- dbt experience in analytics workflows.
- Python or other scripting language for data analysis and automation.
- Experience with data quality frameworks or data observability tools.
- Familiarity with marketing attribution models.
What We Offer
- Remote-first environment
- Strong product/market fit: marketing data product for US-based enterprises
- 20 working days of PTO per year
- US holidays and additional days off
- Professional development reimbursement
What you will do
- Make onboarding and offboarding seamless: no friction, no slowdowns, just wow.
- Design and own performance reviews, 360 feedback, and real growth paths, not just paperwork.
- Own the compensation & benefits space, partnering with Finance to shape fair, transparent, and seamless rewards for the team.
- Track what matters (retention, engagement, performance) and turn insights into action.
- Lead culture initiatives, from offsites and hackathons to everyday moments that connect us.
- Help the core team elevate Adapty’s HR brand and attract top talent.
About you
- You have 4+ years in HR, powering fast-growth teams (SaaS or tech? Even better!)
- You turn onboarding/offboarding into memorable journeys, not checklists.
- You love HR data, tools, and making sense of the numbers.
- You’re a standout communicator and collaborator— people trust you to get things done.
- You know how to balance rolling up your sleeves and thinking strategically.
- You want every candidate and teammate to rave about the Adapty experience.
What we offer
- Strong product with industry-best metrics. Adapty is among the top 5% fastest-growing SaaS companies.
- Career growth. Own critical areas, build a team and grow with us.
- Direct communication and ownership. No bureaucracy, no politics – just impact.
- Flexible remote work. Join us from anywhere, and deliver impressive results. We work as individual contractors (PTO, public holidays, and sick leave included).
- Benefits. English lessons, sports reimbursements, laptop coverage, and more.

Key Responsibilities
- Process GP and in-house payrolls, statutory filing requirements and payroll approvals.
- Update and maintain accurate payroll records.
- Support the Payroll Ops team with admin related tasks.
- Maintain Zendesk ticket queue.
- Serve as a primary point of contact for customers.
- Pension uploads.
- Responsible for ensuring full data integrity.
- Be able to build processes from ground up and focus on continuous improvement.
Requirements
- Experience with in-house payroll processing for the country.
- Knowledge of payroll best practices.
- Proficient in using software tools like SAP, Excel / Google Sheet.
- An analytical mindset with great problem-solving abilities.
- Ability to adapt to a fast-paced, international work environment with a passion for making an impact.
- Constantly thinking of ways to improve and speed up their work.
Practicals
- You'll report to: Payroll Operations Manager
- Team: Operations - Payroll
- Location: You can fulfil this role from any location, but the knowledge of country payroll and language are required.
- Start date: As soon as possible
Benefits
- Work from anywhere
- Flexible paid time off
- Flexible working hours (we are async)
- 16 weeks paid parental leave
- Mental health support services
- Stock options
- Learning budget
- Home office budget & IT equipment
- Budget for local in-person social events or co-working spaces
Who you are
You are energetic, curious, motivated, and ambitious, with a passion for making an impact in a fast-paced, international work environment.
Tech Stack
Proficient in using software tools like SAP, Excel / Google Sheet.
Team Description
This is an exciting time to join our global Payroll Operations team not only because we are growing, but because our teams build the future of Global Payroll by elevating the processes and ways of working in the industry.

Job Responsibilities
- Suggesting new ideas for improving ads monetization set-up;
- Working closely with the production team to ensure ideas are executed correctly;
- Collaborating with the analytical team to define, collect, and analyze metrics affecting LTV;
- Optimizing the current ad stack.
Requirements
- 1+ year experience in ads monetization;
- Experience working with ads monetization platforms;
- Understanding of how ads can affect LTV;
- B2+ level of English;
- Fluent Russian is required;
- Technical background is a bonus.
Benefits
- Full support in relocating to countries where our offices are located;
- High-end market salary with performance bonuses;
- All needed equipment;
- Regular company events and monthly Friday meetings;
- Social benefits (private medical cover, sports reimbursement, etc.);
- Paid vacations, sick days;
- English, Greek, and Polish online language classes;
- Reimbursement for education and professional development.

Key Responsibilities
- Put customers first in everything you do, providing proactive, high-quality support and ensuring a positive overall experience
- Manage and grow relationships with enterprise accounts, navigating complex organizational structures and multiple stakeholders
- Understand and clearly articulate the value of our product for each customer, aligning solutions to their business goals and success metrics
- Identify account expansion opportunities and collaborate with internal teams to drive them to completion
- Develop deep product knowledge to quickly and effectively address customer questions and challenges
- Onboard new clients across a variety of use cases, ensuring a smooth and successful transition to our platform
- Track tasks and deliverables carefully to ensure timely follow-through and execution
- Work closely with Project Managers and the Development team to keep initiatives on track and support on-time delivery
- Maintain a strong understanding of our solutions and content, educating customers on the most relevant features and functionality for their specific business needs
- Partner with Sales Engineers to synthesize data, clarify requirements, and translate complex ideas into actionable input for the Development team
About You
- 6+ years of experience in customer-facing positions
- Experience working with enterprise customers, including managing complex accounts and multiple stakeholders
- A strong track record of delivering exceptional, high-impact customer experiences, ideally within a SaaS or technology-driven product environment
- Demonstrated project management expertise, with the ability to manage multiple priorities, stakeholders, and deadlines in a fast-paced, evolving environment
- Excellent communication and collaboration skills, paired with genuine curiosity and a proactive approach to problem-solving
- A solid analytical mindset and comfort working with data to inform decisions, aligned with a data-driven company culture
- A startup-oriented mentality, including adaptability, ownership, and the ability to thrive amid change and ambiguity
Nice to have
- Previous experience working with marketing agencies or media teams, especially managing multiple stakeholders across different client accounts.
- Familiarity with marketing data ecosystems (paid media, organic, CRM, analytics tools) and how data flows across platforms.
- Basic understanding of data concepts such as APIs, ETLs, data warehouses, or data visualization tools (hands-on experience not required, but a plus).
- Ability to manage ambiguity and adapt as processes, products, and customer needs evolve.
What We Offer:
- Remote-first environment
- Competitive compensation
- Medical and dental benefits
- 401K plan
- Unlimited PTO
- Paid holidays
- Professional development reimbursement
The Role
We're looking for a strategic, hands-on Head of Finance to lead our financial operations and help scale Afina to the next level. This role sits at the intersection of finance, operations, and strategy—you'll own everything from financial planning and cash flow management to inventory operations and cost optimization. The ideal candidate has deep experience in e-commerce and DTC environments, thrives in fast-paced, high-growth settings, and brings a strong operational mindset to every decision. You'll be a key partner to leadership, translating numbers into actionable insights that drive profitability and sustainable growth.
Key Responsibilities
Financial Leadership & Accounting
- Own and manage all day-to-day accounting, financial reporting, and month-end/year-end close processes, ensuring accuracy and timeliness.
- Prepare and present monthly, quarterly, and annual financial statements (P&L, balance sheet, cash flow) with clear variance analysis and commentary.
- Establish and enforce internal financial controls, policies, and procedures to safeguard company assets and maintain compliance.
- Manage relationships with external accountants, auditors, tax advisors, and banking partners.
- Lead budgeting and reforecasting cycles, partnering with leadership to set financial targets aligned with company goals.
- Oversee payroll, tax filings, and regulatory compliance across all relevant jurisdictions.
Cash Flow & Financial Planning
- Build and maintain detailed cash flow forecasts and working capital models to ensure the business is always well-positioned for growth.
- Manage cash flow proactively—optimizing payment terms with suppliers, monitoring receivables, and maintaining adequate liquidity.
- Develop financial models and scenario analyses to evaluate new product launches, marketing investments, channel expansion, and other strategic initiatives.
- Lead financial planning and analysis (FP&A) efforts, providing leadership with data-driven insights to inform decision-making.
- Track and report on key DTC and e-commerce financial KPIs (CAC, LTV, ROAS, contribution margin, payback period, etc.).
Inventory & Operations Planning
- Collaborate with operations and supply chain teams to develop and maintain demand planning and inventory forecasting models.
- Monitor inventory levels, turnover rates, and landed costs—ensuring optimal stock levels while minimizing overstock, stockouts, and dead inventory.
- Analyze and optimize the end-to-end supply chain from a financial perspective, including production costs, freight, warehousing, and fulfillment.
- Build reporting and dashboards to give leadership real-time visibility into inventory health, COGS trends, and supply chain performance.
- Support vendor negotiations and procurement decisions with financial analysis and cost modeling.
Cost Optimization & Efficiency
- Identify and drive cost savings opportunities across the business—COGS, shipping, packaging, SaaS tools, marketing spend, and operational overhead.
- Conduct profitability analysis by product, channel, and market to uncover margin improvement opportunities.
- Evaluate and optimize unit economics, ensuring sustainable growth and healthy contribution margins.
- Partner with the marketing and growth teams to analyze return on ad spend, customer acquisition costs, and channel-level profitability.
- Implement and refine financial systems, tools, and processes to improve efficiency, automation, and reporting accuracy as the company scales.
What We're Looking For
Required
- 5+ years of progressive finance experience, with at least 3 years in a senior finance role at a DTC, e-commerce, or high-growth consumer brand.
- Deep understanding of e-commerce business models, unit economics, and key DTC metrics (CAC, LTV, ROAS, contribution margin, etc.).
- Strong operational mindset—comfortable rolling up your sleeves on everything from inventory planning to vendor negotiations.
- Proven experience building financial models, forecasts, and budgets that drive real business decisions.
- Expertise in cash flow management, working capital optimization, and financial planning in a fast-paced environment.
- Advanced proficiency in Excel/Google Sheets, and experience with accounting software (QuickBooks, Xero, or NetSuite).
- Strong understanding of GAAP, tax compliance, and financial controls.
- Excellent communicator who can translate complex financial data into clear, actionable insights for non-finance stakeholders.
- Self-motivated leader who thrives with autonomy and can manage competing priorities in a dynamic environment.
Nice to Have
- Experience in the beauty, wellness, health, or home goods category.
- Experience with subscription or replenishment revenue models.
- Background in supply chain finance, inventory management, or operations planning.
- Experience with BI and data visualization tools (Looker, Tableau, or similar).
- CPA, CFA, or MBA preferred but not required.
- Experience working with 3PLs, international suppliers, and import/export logistics.
Why Join Afina
- Lead finance at a high-growth DTC brand where your decisions directly impact the bottom line and company trajectory.
- Be part of a mission-driven brand improving people's daily wellness routines.
- Join at a pivotal growth stage where you'll help shape the financial infrastructure and strategy from the ground up.
- Remote-friendly culture with flexibility and autonomy.
- Competitive salary, performance bonuses, and equity options.
- Free Afina products.

Spiry is an AI content team for creators — it learns your voice, builds your publishing habit, and tells you exactly what to post every day. We’re replacing the $10K/month creative team with a tool that actually understands why creators fail: not lack of tools, but fear, burnout, and no system.
What you’ll do
- Write posts for Instagram, Threads, LinkedIn, Twitter/X, TikTok
- Scripts for Reels and Shorts
- Copy for landing pages, ads, and email sequences
- Track trends, maintain content calendar, report on performance
What we’re looking for
- English C1+ — native-level, no “translated” feel
- 2+ years in SMM/copywriting for US/EU markets (SaaS, IT, EdTech)
- You know what’s viral before it peaks
- Strong hooks, CTAs, short-form copy
- Experience with Claude AI
- Portfolio in English
What we offer
- Fully remote, flexible hours
- Fast-moving early-stage startup
- Competitive pay (after test task)
- Path to Head of Content
How to apply
Send resume + portfolio → marketing@spiry.com

What you'll do:
- Model Development & Evaluation
- Build and maintain evaluation frameworks for document models, LLMs, OCR, and structured extraction.
- Define metrics, benchmarks, and validation strategies for real-world document workloads.
- Dataset & Pipeline Creation
- Design and curate high-quality datasets for supervised training, fine-tuning, and validation.
- Create scalable preprocessing pipelines for PDFs, scans, images, forms, and semi-structured documents.
- Model Training & Fine-Tuning
- Train and fine-tune transformer-based OCR, VLMs, layout models, and open-source LLMs for document understanding tasks.
- Optimize models for reliability, accuracy, and cost efficiency in production environments.
- Inference & Deployment
- Deploy ML models with modern inference runtimes (vLLM, TGI, TensorRT, ONNX Runtime).
- Build guardrails, monitoring, and fallback mechanisms to ensure safe and predictable model behavior.
- RAG & Document Reasoning
- Develop retrieval and chunking strategies tailored to document structures (tables, forms, multi-page PDFs).
- Optimize end-to-end RAG pipelines for semantic search, Q&A, and workflow automation.
- Cross-Functional Collaboration
- Partner with PMs, backend engineers, and product designers to define AI opportunities and translate requirements into technical solutions.
Who you are:
We are expanding our AI/ML function with an ML Engineer who specializes in document intelligence, vision–language models, and LLM-based extraction and reasoning. You should be comfortable with both traditional document AI approaches and cutting-edge GenAI workflows. You thrive in fast-moving environments, are self-directed, and enjoy solving practical ML problems that directly impact customers.
We’re looking for someone with experience in:
- Vision transformers, layout models, and OCR systems
- Structured extraction from complex documents
- RAG for document-heavy workloads
- Optimizing LLM pipelines for cost, accuracy, and throughput
- Deploying and benchmarking models in real production systems
Required Experience:
- 5+ years of Python experience
- Experience training, fine-tuning, and deploying traditional computer vision models for document intelligence tasks (layout detection, table extraction, OCR, information extraction)
- Hands-on experience with document understanding frameworks and models:
- Traditional document AI models (LayoutLM, Donut, DocFormer)
- Modern vision-language models with OCR capabilities (DeepSeek-OCR, LightOnOCR-1B, etc.)
- Experience deploying and optimizing models using inference frameworks such as vLLM (preferred), TGI, TensorRT, or ONNX Runtime
- Experience applying LLMs to document intelligence workflows, including both frontier models and open-source alternatives
- Strong understanding of coordinate systems and spatial reasoning for absolute positioning and field detection in forms/documents
It would be awesome if you had:
- Familiarity with PDF parsing libraries and document preprocessing pipelines
- Experience fine-tuning open-source models for domain-specific document tasks
- Knowledge of evaluation metrics for document understanding tasks (F1, exact match, etc.)
Benefits:
- An honest, open culture that emphasizes feedback and promotes professional and personal development
- An opportunity to work from anywhere — our team is distributed worldwide, from Lisbon to Manila, from Florida to California
- 6 self care days
- A competitive salary
- And much more!
О вакансии
Мы ищем backend-разработчика в команду Core Team. Команда занимается внутренними сервисами, общими для всех продуктов Kolesa Group: авторизация, платежи, хранение и раздача файлов, обработка фотографий, инфраструктурные утилиты и многое другое.
Стек технологий
- Golang
- Kubernetes
- MongoDB
- Git
- Go
- PHP
- Clickhouse
- Asterisk
- Docker
- Linux
- Elasticsearch
- Redis
- MySQL
- Nginx
Тебе предстоит
- Разрабатывать и развивать ключевые межпродуктовые сервисы Kolesa Group: сервис единой авторизации, платежный шлюз, объектное хранилище, фотостек (resizer, preresizer, CDN), системы внутренней телефонии, интеграция с внешними сервисами (SMS, email, push-уведомления и т.д.), интеграция с государственными сервисами (smartbridge).
- Повышать надёжность, производительность и масштабируемость систем — от проектирования архитектуры до сопровождения в продакшене;
- Работать в тесной связке с другими командами: продуктовые команды, ML-инженеры, системные администраторы, hr, бухгалтера;
- Участвовать в техническом дизайне, планировании задач, ревью кода и CI/CD процессах;
- Поддерживать devops-культуру: автоматизация, мониторинг, логирование, алерты — это всё про нас;
- Писать качественный, протестированный код и не бояться отвечать за него на проде.
Мы ждем от тебя
- Знакомство с базами данных, понимание принципов их работы. Мы используем Mysql, Mongodb, Redis, Elasticsearch, Clickhouse, Scylladb (cassandra)
- Понимание инфраструктуры и окружения, в котором выполняется код: Linux, Docker, Nginx, Kubernetes, Аnsible, Opensips, Аsterisk;
- Владение инструментами мониторинга для поиска, решения и предотвращения проблем;
- Умение и желание писать тесты на свой код;
- Владение git, понимание процессов сборки и деплоя. Мы используем Github Enterprise;
- Умение давать оценку сроков выполнения задач и соблюдать их, вовремя сигнализировать о проблемах;
- Бескомпромиссный подход к решению проблем и устранению их причин;
Будет преимуществом
- Опыт работы с Kubernetes, Asterisk, PHP;
- Понимание микросервисной архитектуры, подходов к межсервисному взаимодействию;
- Опыт проектирования и реализации высоконагруженных сервисов.
Что мы предлагаем
- Соцпакет на выбор: здоровье, образование, билеты и т.д.
- Рост all inclusive: грейды, индивидуальные планы развития, менторство
- Программа релокации: помогаем иногородним сотрудникам в переезде
- Обучение: участие в митапах, конференциях и тренингах
- Корпоративная культура и тематические мероприятия
- Онлайн-библиотека: доступ к огромной tech-библиотеке
- Языковые курсы: курсы от компании-партнёра
- Пополнение личного кабинета на сайтах Kolesa.kz и Krisha.kz
- Скидки на фитнес, lamoda, skillbox, skyeng, geekbrains и т.д.

Job Responsibilities
- Advanced post-training of large language models (e.g. SFT, RLHF/RLAIF, continual pretraining).
- Aligning models for reliable JSON-schema function calls and external tool usage.
- Design, deploy, and operate Model Context Protocol (MCP) servers that handle checkpoint routing, manage context windows, and enforce safety gates.
- Experience in distributed training and inference with DeepSpeed/FSDP, LoRA/QLoRA, mixed precision, and performance tuning on vLLM or Triton clusters.
- Build offline and live eval pipelines for alignment, factuality, grounding, and hallucinations.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 3+ years of experience in developing and optimizing large language models.
- Proven track record in implementing advanced post-training techniques (SFT, RLHF, RLAIF, continual pretraining).
- Hands-on experience with distributed training frameworks (DeepSpeed, FSDP) and optimization techniques (LoRA, QLoRA, mixed precision).
- Familiarity with model alignment, JSON-schema function calls, and external tool integration.
- Experience in building and maintaining evaluation pipelines for model performance assessment.
- Proficiency in Python and relevant machine learning frameworks (e.g., PyTorch, TensorFlow).
- Strong understanding of distributed systems and high-performance computing.
- Experience with model deployment and inference optimization on vLLM or Triton clusters.
- Knowledge of JSON-schema and API development.