דרושים » תוכנה » VP product - חברת פינטק בתל אביב

The Field AI Engineering team is a unique group of professionals combining strong technical expertise, rooted in a software engineering background, with excellent customer-facing skills.

In this role, you will lead major customer engagements, both remotely and on-site, and tackle the most complex challenges faced by our customers. Some of these challenges will be addressed in-house by designing and developing tailored solutions for customer environments. Others will require close collaboration with our R&D and Product teams to deliver scalable and impactful solutions.

This position is ideal for someone who enjoys solving hard technical problems while working directly with customers and influencing product direction.

Responsibilities

Drive AI Security deal success by handling complex technical sales engagements.
Lead and participate in customer meetings, including technical deep dives, solution design sessions, and executive-level discussions, both remotely and on-site.
Collaborate closely with cross-functional teams, including Sales, Product, R&D, Marketing, Customer Success, and Professional Services, to deliver end-to-end customer solutions.
Design and develop custom features, integrations, and tailored solutions to address customer-specific environments and challenges.
Lead and support complex customer deployments, from initial design through implementation and validation.
Act as a hands-on technical expert throughout the customer lifecycle, contributing wherever needed to ensure successful outcomes.

We're searching for someone with approximately 5 years of experience in driving impactful solutions that cater to the unique needs of finance teams in small and medium-sized businesses.
If you are passionate about solving customers' problems and excel at collaborating closely with talented teams to deliver meaningful solutions, then this role is the perfect fit for you! Join us in transforming how finance teams work and helping businesses thrive.

What You'll Do
Own features and product development through a full life cycle (e.g., ideation, design, implementation, launch).
Engage with customers and our customer success teams to identify and prioritize our customers' problems and needs, gather feedback to iterate on existing products, and identify opportunities to drive solutions that best solve these problems while advancing our business goals.
Dive into data and conduct market research to identify trends and understand the competitive landscape to inform product development decisions.
Collaborate with cross-functional teams, including engineering, design, marketing, and sales, to drive successful product development and launches.
Create and maintain a comprehensive product roadmap, ensuring alignment with business stakeholders.
Create and maintain product documentation, including user guides and training materials.

We are in search of a detail-oriented and analytical Senior Product Analyst to join our growth team . You are a product thinker who uses data to advocate for our users. In this role, you will sit at the intersection of Product, Engineering, and Design, transforming raw behavioral data into a narrative that shapes our roadmap. The successful candidate will have a minimum of 5 years of dedicated experience in data analysis and a proven track record of turning data into actionable insights in a B2C SaaS environment.

What You'll Do:
Master the User Journey: Map complex B2C user journeys to identify friction points. Youll go beyond the "what" to uncover the "why" behind user behavior.
Build the Data Foundation: Design and maintain "reporting-grade" data models in dbt, ensuring our BI layer is the single source of truth for product health and business use.
Optimize Growth: Design, build, and monitor funnels and A/B tests at scale to optimize performance and conversion.
Influence the Roadmap: Analyze data to identify trends and insights that directly influence product decisions and business strategy.
Foster Independent Discovery: Build and scale intuitive data tools and self-service environments that encourage independent behavior among business users, reducing the need for constant manual support.
Consultative Partnership: Provide business expertise and guidance on how to leverage data analytics and reporting within the organization.
Ad-hoc & Statistical Analysis: Support the business with ad-hoc analytics and apply statistical techniques to discover new business opportunities.