airSlate

• Get obsessed with the customer. Talk to SMB owners, watch them work, mine the signal sitting in our millions of existing users — find the problem they actually have, not the one that's convenient for us. • Run on hypotheses, not opinions. Form a sharp bet, design the test, read the result honestly even when it stings, move. • Own the funnel and the money. Activation, conversion, retention, monetization — know the numbers cold and push them yourself. • Turn mess into a thing worth building. Insight is cheap; a sharp, buildable product decision is not. • Build alongside your engineers, not above them. Prototype with AI tools — v0, Cursor, Lovable, whatever's fastest — and fix your own interface instead of filing a ticket for it. • Ship in days, not quarters. Idea to something real in front of a user in about a week. Then do it again. • Bring the energy that makes people want to build with you. This is the job where 'it's just a job' gets you replaced.

• Design, build, and maintain backend features and APIs for US Legal Forms using PHP/Laravel • Bring an AI-forward approach to daily work — find and implement ways AI can help the team build and ship faster and smarter • Contribute cross-functionally when needed, including some React frontend work • Analyse A/B test results and own the impact of your work on product outcomes • Take part in technical and process decisions, helping the team operate independently with minimal PM involvement • Write tested, maintainable code and help uphold quality standards • Proactively raise ideas that make the team faster, smarter, and more impactful

• Configure, launch, and optimize email campaigns using our in-house email service provider. • Build and implement multi-step automated email workflows based on user behavior. • Design and manage advanced audience segments to support activation, engagement, retention, reactivation, and promotional initiatives. • Run experiments, analyze results, and apply insights to improve campaign performance. • Create and maintain dashboards to track key email and lifecycle marketing metrics. • Collaborate closely with Product, Data, Engineering, Marketing, and General Management teams. • Work independently in a dynamic environment, identifying gaps, proposing improvements, and helping refine processes. • Oversee and improve the functionality of our internal email system. • Generate data-driven ideas for relevant, personalized email content. • Lead and support the transformation of the email marketing function into an AI-driven program.

• Launch, manage, and optimize PPC campaigns across paid acquisition channels, with a strong focus on mobile performance marketing. • Build and scale campaigns in Apple Search Ads, Google Ads, Microsoft Ads, UAC, and other relevant platforms. • Monitor key performance metrics, including traffic, conversions, CAC/CPA, ROAS, and conversion volume. • Generate and test hypotheses through A/B experiments across ads, creatives, keywords, targeting, campaign structures, and app store listings. • Analyze campaign performance, traffic quality, conversion trends, and user behavior to identify areas for growth and optimization. • Perform ASO activities, including app store listing updates, metadata optimization, ranking analysis, and A/B testing in App Store and Google Play. • Collaborate with internal stakeholders, including Brand Managers, General Managers, Product, Content, and Development teams. • Communicate with external partners such as Google, Apple, and Microsoft to improve campaign performance and explore growth opportunities. • Build clear reporting and share actionable insights and recommendations with stakeholders.

• Own and improve core agreement execution flows, ensuring they are intuitive, fast, and reliable. • Deeply understand user pain points through research, support insights, and behavioral data, then translate them into clear problem statements and priorities. • Turn complicated tasks into simple, guided experiences through UX, product design patterns, and smart defaults. • Identify opportunities to use AI to reduce friction and improve user confidence, especially in moments where users are unsure what is required. Define guardrails and fallback behavior to maintain trust. • Build product guidance that helps users make correct decisions in compliance-sensitive contexts, even when users are uncertain about what “right” looks like. • Drive measurable business outcomes through A/B testing and iterative improvements. Define hypotheses, success metrics, and clear decisions based on results. • Partner closely with engineering and design to deliver high-quality features, and collaborate with support, sales, and marketing to ensure strong adoption and customer outcomes. • Define and track KPIs, monitor funnel performance, and build learning loops that continuously improve the product.

• Serve as the company's primary operational expert on Diia City employment requirements. • Manage the full employee onboarding lifecycle for Ukraine-based employees. • Own the end-to-end contractor-to-employee conversion process. • Manage military registration processes and documentation for eligible employees. • Maintain accurate employee records and manage employment lifecycle changes. • Oversee contractor agreements and coordinate payment setup with Accounting. • Partner with the Ukraine Chief Accountant, General Counsel, Legal, Payroll, and Finance on payroll inputs and employment law matters. • Build, document, and continuously improve scalable HR operations processes for Ukraine.

• Quality architecture. Frameworks, toolchain, and the roadmap from traditional automation to agentic solutions. You define how quality is built into the system, not bolted on at the end. • A team of 6-10 AQEs. Mentoring, technical direction, and running hands-on pilots alongside them as the team evolves into the agentic era. • The existing test automation framework (Java/JS · Selenium · Playwright). Keeping it healthy while evolving it; refactoring what needs it, retiring what doesn't. • Agentic QE design. Partnering with engineering leaders to co-design deterministic agent workflows and non-deterministic (LLM-assisted) approaches, with clear human-in-the-loop governance where it matters. • Observability and reporting tooling. Coverage dashboards, flakiness detection, CI quality gates - the visibility layer engineers actually trust. • Testing AI-powered features. Behavioral validation, non-deterministic regression, and output evaluation for the product's own agentic capabilities. • Internal tooling. Building tools that make the broader engineering org faster and more quality-conscious, not just the QE team.

• Design and ship production AI features end-to-end — RAG, agents, document understanding, conversational interfaces — across LangGraph / LiteLLM / pgvector / Langfuse. • Drive technical architecture for the AI product line: LLM orchestration, evals, observability, latency / cost / reliability tradeoffs. • Own AI initiatives technically — from spec through production, including rollout and post-launch eval improvements. • Code review and architectural feedback across the team; mentor engineers on AI engineering practices. • Build and evolve eval frameworks and quality measurement for AI features. • Collaborate closely with PM, Design, and adjacent teams to shape AI features that work for real users at scale. • Bring proven patterns from the LLM ecosystem (frameworks, agent patterns, MCP, tool use) into the team.

• Resolving all types of support issues received via ticketing system, chat or phone; • Managing issue tickets via Jira, communicating with the Development and QA to resolve these issues in a timely manner; • Support customers by providing helpful information, answering questions, and responding to complaints; • Being the front line of support for clients and customers, help ensure they are satisfied with products, services, and features; • Manage large amounts of incoming inquiries; • Identify and assess customers’ needs to achieve satisfaction; • Build sustainable relationships of trust through open and interactive communication; • Meet personal/team targets; • Follow communication procedures, guidelines and policies; • Go the extra mile to engage customers.

• Maintain and evolve the large codebase that powers our billing and payments service • Integrate with external billing-related services and connect new payment gateways • Solve production payment issues and keep the system reliable and secure • Design and review software architecture for new payments features • Implement hypotheses and run experiments to move core business metrics • Write tests and contribute to a well-covered, high-quality codebase • Analyze relevant metrics to inform decisions and validate experiment outcomes