The payments provider that makes it easier to pay, get paid and keep money flowing.
Product Manager
Location
Latvia
Posted
16 days ago
Salary
0
Seniority
Lead
No structured requirement data.
Job Description
Product Manager
xpate
Role Description We’re looking for a Product Manager to build the operational backbone of the company — internal platforms, workflow systems, and AI-powered automation for operational teams. This is not a growth, onboarding, or customer-facing product role. You’ll work on the systems that keep operations running at scale: - Back-office platforms - Review workflows - Case management - Compliance operations - Internal tooling - Process automation We’re looking for someone who loves fixing operational chaos, simplifying complex workflows, and using automation and AI to eliminate repetitive manual work. You should be excited by questions like: - What parts of this process should not exist manually? - Where can AI reduce operational load? - How do we help teams move faster with fewer errors? - What should be automated, and where should humans stay in the loop? This role sits at the intersection of Product, Operations, Engineering, Data and AI enablement. Your role at xpate: - Build and scale internal operational platforms and workflow systems. - Identify high-impact automation opportunities across operational processes. - Design AI-assisted workflows that improve speed, accuracy, and scalability. - Partner closely with operations teams to understand bottlenecks and inefficiencies. - Work with engineering and data teams to ship practical automation solutions. - Prototype and validate ideas quickly using modern AI and productivity tools. - Define and measure operational impact: automation rate, SLA reduction, processing speed, quality improvement, and operational efficiency. - Continuously improve workflows based on data and real operational usage. Qualifications - Has experience building internal tools, operational systems, workflow platforms, or back-office products. - Thinks in systems, workflows, operational efficiency and scalability. - Has worked on automation initiatives, ideally involving AI or intelligent workflows. - Can clearly demonstrate measurable business impact from their work. - Has strong ownership and execution skills - from problem discovery to shipped solution. - Moves fast, prototypes quickly, and actively uses AI tools in daily work. - Is comfortable operating in ambiguity and improving messy processes. - Enjoys working closely with operational teams and solving real execution problems. Requirements - Nice to have: - Fintech, payments, compliance, or risk operations experience. - Experience with AI-assisted operations, LLM workflows, or internal copilots. - Hands-on experience with low-code/no-code automation tools. - Experience in high-scale or regulated environments. Benefits - Build products with direct operational and business impact. - Work on meaningful AI automation problems, not AI hype projects. - High ownership, fast decision-making, and strong execution culture. - Opportunity to shape how operational teams work at scale. - Flexible work environment. - Competitive compensation and benefits.
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demonstrated success building tailored, intelligent user experiences that drive engagement and retention - Excellent communication and persuasion skills; proven ability to build executive buy-in for bold, long-term bets in emerging AI/ML product spaces - Strong analytical and quantitative skills with a bias toward data-driven decision making, including comfort with A/B testing, experimentation frameworks, and ML model evaluation - Ability to translate personalization strategy into detailed, actionable product requirements that bridge business goals and ML/AI capabilities - High technical fluency; comfortable engaging deeply with ML engineers and data scientists on model tradeoffs, feature pipelines, data infrastructure, and system architecture - Proven ability to navigate build vs. buy vs. partner decisions for AI/ML capabilities, balancing customer impact with speed to market - Comfortable operating in ambiguity; able to define structure and drive progress on complex, cross-functional initiatives without a clear playbook - Strong bias for action with the ability to manage competing priorities across multiple teams in a fast-paced, high-growth environment - Proven ability to lead and align cross-functional teams — including engineering, data science, design, and marketing — through influence rather than direct authority - Familiarity with modern AI/ML development workflows, including experience working in agile environments with data science and ML engineering teams The base pay range for this position is $177,441 - $193,800 per year 2026 US Benefits for Full Time, Regular Employees: - Physical Health (Medical, Dental & Vision) - 100% employer-paid premium for employees - Up to 80% coverage for dependents - Company HSA contribution with the High Deductible Health Plan - 401(k) Retirement Plan (employer will match contribution up to 3.5% of employee contribution) - Basic Life, Voluntary Life and AD&D Insurance options - Supplemental, voluntary benefits - Student Loan Repayment/529 Education Savings with a monthly company contribution - FSA (Medical, Dependent, Transit and Parking) - Voluntary Life and AD&D Insurance - Critical Illness Insurance - Accident Insurance - Short- and Long-term Disability Insurance - Pet Insurance - Identity theft protection - Legal access to a network of attorneys - PTO, paid sick leave, and company holidays (including a 2026 holiday shutdown) - Paid parental leave Why Work at Weedmaps? Life at Weedmaps means innovation and heart. Come join us if you care about the plant, the people who love it, and are ready to let your talent shine. We foster a bustling and collaborative culture that revolves around an environment that focuses on the benefits of weed, and the community that supports it. You too can have a hand in shaping the industry’s future; ready to roll with us? See how we’ve grown—our journey, leadership team, and what’s next at Weedmaps.com/corporate About Weedmaps: Founded in 2008, we’ve grown from a small startup to a global leader in the cannabis industry. Our dedication to transparency, education, and community has set us apart, and today, we proudly serve cannabis to consumers and businesses in the U.S. and worldwide. “Freedom to choose. Freedom to access. Freedom to enjoy.” Notice to prospective Weedmaps job applicants: Our team has been made aware of incidents involving LinkedIn, Telegram, and Facebook accounts impersonating Weedmaps recruiters. 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