Senior Product Manager, Martech

The Senior Product Manager at Lob is responsible for owning the vision, strategy, and roadmap of our Enterprise marketer workflow. This includes developing high-impact features that integrate seamlessly with existing marketing tech stacks and CRMs, conducting user research to understand customer pain points, and collaborating with cross-functional teams to launch new offerings.

A strong candidate for the Senior Product Manager role at Lob should have at least 5 years of product experience, particularly in marketing technology or CRM integrations. Proficiency in analytical skills and a thorough understanding of marketing teams’ goals and processes are essential to succeed in this position.

At Lob, innovation is key to our product development. The Senior Product Manager, Martech, collaborates closely with engineers and designers to run iterative experiments, helping us refine our offerings based on user feedback and data analysis, ensuring our solutions are both impactful and user-friendly.

AI is a significant focus for the Senior Product Manager at Lob. The individual in this role will leverage AI for various aspects of direct mail execution, enhancing functionalities such as creative proofing, audience targeting, and automating marketing campaigns to drive efficiency and effectiveness.

Lob offers a dynamic work environment where innovation thrives. As a Senior Product Manager, you will have the opportunity to shape the future of our products, collaborate with passionate individuals, and contribute to a company committed to diversity and a supportive culture.

When prioritizing features, I assess the potential impact on user experience, alignment with strategic goals, and resource availability. I often use frameworks like RICE (Reach, Impact, Confidence, Effort) to quantify the importance of each feature and engage with stakeholders for a balanced view.

I have a strong background in marketing technology, having worked on projects involving CRM integrations, attribution modeling, and direct mail campaigns. My expertise includes leveraging data analytics to personalize user experiences and developing tools that streamline marketing efforts.

I treat feedback as a crucial part of the product development process. I listen actively, categorize the feedback based on urgency and relevance, and ensure I communicate back to stakeholders about how their input shapes our direction, which fosters trust and collaboration.

For A/B testing, I ensure clear hypotheses are defined, segment the audience appropriately, and maintain rigorous control over external variables. Post-test, I analyze metrics thoroughly, drawing actionable insights that inform our product roadmap.

One of my biggest challenges was resolving user drop-off during onboarding. I initiated user interviews to understand pain points and worked with the design team to streamline the onboarding experience, resulting in a significantly improved retention rate.

Collaboration begins with open communication. I involve engineering and design teams from the early stages, ensuring they understand the product vision and are part of the brainstorming process. Regular check-ins and agile practices keep everyone aligned and motivated.

Data analysis is fundamental in my decision-making process. I use analytics tools to track user behavior and performance metrics, which guide me in refining product features and validating hypotheses based on real-world user interactions.

I regularly read industry publications, attend webinars, and network with other professionals in the field. Moreover, I make a point to engage with platforms that showcase the latest innovations and tools in marketing tech, which helps me stay ahead of the curve.

I have led several successful integrations with CRMs like Salesforce and HubSpot. My approach involves understanding the CRM's architecture, identifying user needs, and collaborating closely with engineering to ensure a smooth integration process.

Post-launch, I define key success metrics based on the feature's goals and follow up with user feedback and analytics. I employ ongoing user engagement metrics and performance indicators to assess how well the feature meets user needs and optimize it accordingly.