Between Product and Partnerships

Pandium
  • 5,0 (1)
  • Технологии

Building integrations and a SaaS ecosystem requires close collaboration between product, tech partnerships, and other GTM and technical teams. We're talking to product, partnership, and engineering leaders about how to build, support, and scale integrations and SaaS ecosystems that result in happier customers and more revenue. Watch or listen on YouTube and most podcast directories.  Want to access more content on integrations, APIs, and technology partnerships? Check out our blog and resources page here: Blog - https://www.pandium.com/blogResources - https://www.pandium.com/resource-center

  1. 30 июл.

    Moving from Product Partnerships to Revenue: Jira Cooley on Owning the Number

    In this episode of Between Product and Partnerships, Cristina Flaschen sits down with Jira Cooley, Snowflake Partner Lead at GrowthLoop, to discuss his journey through product and technology partnerships and his decision to move closer to the revenue side of the business. Along the way, they explore what it takes to build technical fluency without an engineering background, why asking better questions is often more valuable than having all the answers

  2. 9 июл.

    How to Price Your SaaS Product in the Age of AI

    For years, SaaS pricing was relatively simple. Build the product, sell seats, and scale. AI is changing that equation. In this episode of Between Product and Partnerships, Cristina Flaschen sits down with Roee Hartuv, Sr. Pricing Advisor & Head of GTM Expertise at Willingness to Pay, to discuss why AI is forcing software companies to rethink pricing from the ground up. As AI introduces real marginal costs, unpredictable usage patterns, and new customer expectations, many of the pricing models that defined SaaS are no longer enough.

  3. 22 июн.

    The Vibe Coding Phenomenon: What Happens When Everyone Becomes a Developer?

    AI models let anyone "vibe code" an integration from 0 to 90% overnight, but scaling that final 10% is where most projects hit a wall. In this episode, former Knak VP of Product Rod Moshfeghi joins Cristina Flaschen to break down why the rise of the citizen developer actually makes rigorous systems design and long-term maintenance more critical than ever.

  4. 28 мая

    Beyond Handshakes: How to Structure Partner Programs for Success

    In this episode of Between Product and Partnerships, Cristina Flaschen talks with Martin Scholz, founder of CEG Consult, about why most partnership initiatives miss the mark, and what actually separates transactional deals from true, strategic relationships. Drawing on more than 20 years of partnership experience across startups, scale-ups, and enterprises, Martin cuts through the noise to explain why partnerships fail when they lack clear alignment, why "giving to get" can create toxic dynamics, and how to identify which partners actually deserve your resources. For more insights on partnerships, ecosystems, and integrations, visit www.pandium.com

  5. 15 апр.

    Why Partnerships Fail (and How to Fix Them): Insights from Jenn Steele, SoundGTM

    In this episode of Between Product and Partnerships, Cristina Flaschen sits down with Jenn Steele, CEO of SoundGTM, to pull back the curtain on why most SaaS partnerships collapse. Jenn draws on her experience as a former CMO to explain the internal perspective of leaders asked to support partnership launches without proper lead time. The conversation dives into the common pitfalls of "pre-launching" integrations that aren't ready. It also covers the dangers of concentration risk with large platform partners as traditional outbound sales models struggle. Throughout the episode, Jenn emphasizes a consistent theme: Partnerships are built on human relationships, but they survive on operational clarity and consistent enablement. ‍Key topics The Resource Gap: Why Marketing and Partners Clash‍Partnership teams often operate in a silo and call on marketing for last-minute press releases without providing dedicated budget. Jenn explains why this misalignment leads to internal frustration. The Disconnect Between Revenue Goals and Budget‍Many companies expect a significant percentage of their pipeline to come from partnerships without allocating a corresponding percentage of their go-to-market budget. Jenn warns against expecting outsized gains from minimal resource investment. The 80/20 Rule of Partner Portfolios‍Most partner programs are top-heavy. Jenn discusses how to audit a portfolio to find the 20% of partners producing value while moving on from the rest. Operationalizing the "Shiny Object"‍Partnership leaders are often "people people" who are great at starting relationships but may struggle with the administrative details of ops. Jenn highlights the need for systems that keep partners engaged long after the initial announcement. Concentration Risk and "Big Guy" Partnerships‍Hitching a small startup’s wagon to a giant like Salesforce or HubSpot is a high-stakes game. Jenn explains why being at the mercy of a larger partner’s API can leave a small company vulnerable to sudden changes. ‍Episode highlights ‍00:40 — Jenn’s journey from "Early HubSpot" to CEO 2:19 — The friction between marketing leaders and partner teams 04:02 — Where should partnerships live? (Sales vs. Marketing) 06:35 — The reality of technical dependencies and API downtime 08:40 — The cautionary tale of the two-year "pre-launched" integration 12:15 — Primary failure modes including goals and internal resources 16:23 — Why everyone is focused on partnerships right now 18:36 — Managing expectations for partner-sourced revenue 22:31 — How to keep partners excited through consistent enablement 28:40 — The danger of concentration risk for small companies -- For more insights on partnerships, ecosystems, and integrations, visit www.pandium.com

  6. 25 мар.

    Why AI Doesn’t Replace Product Thinking: Insights from Stephanie Neill, Stripe

    In this episode of Between Product and Partnerships, Cristina Flaschen sits down with Stephanie Neill, Head of Product at Stripe, to explore what’s actually changing in product development in the age of AI, and what isn’t. Stephanie draws on experience across government, Twitch, and Stripe to explain why the pressure to “just use AI” often leads teams in the wrong direction. Instead, she makes the case for grounding every decision in the problem to be solved, not the technology being used. The conversation dives into where AI is genuinely useful today, where it still falls short, and how teams can use it to move faster without compromising quality or trust. They also explore the operational realities behind the hype, from messy, unreliable data to the risks of deploying AI in high-stakes environments like payments and tax. Throughout, Stephanie emphasizes a consistent theme: AI can accelerate good product thinking, but it cannot replace it. Who we sat down with Stephanie Neill is Head of Product at Stripe, where she leads teams focused on payments infrastructure and tax-related products. Her career spans e-commerce, public sector innovation with the United States Digital Service, and creator monetization at Twitch. Stephanie brings expertise in:  Applying product thinking in high-stakes environments like government and financial systems  Building platforms that enable businesses and creators to earn revenue  Scaling product teams across complex, data-dependent domains  Navigating emerging technologies like AI within regulated, trust-sensitive systems Key topics Why “use AI” is the wrong starting pointTeams are often pushed to adopt AI without a clear problem in mind. The right approach is unchanged: start with the user problem, then evaluate whether AI meaningfully improves the outcome. Where AI actually works todayAI is most effective in accelerating discovery and iteration, helping teams research faster, test ideas, and explore solution spaces without heavy upfront investment. AI as a tool for reducing product riskProduct development is fundamentally about reducing risk. AI increases the number of iterations teams can run, allowing them to be wrong more often and converge on better solutions faster. The reality of data as a limiting factorEven the most advanced models are constrained by messy, incomplete, or externally controlled data. In domains like tax, poor data quality becomes a major blocker to reliable AI systems. Why human judgment still defines production readinessDespite rapid progress, AI outputs still require careful review. Especially in financial systems, the cost of being wrong is too high to remove humans from the loop. Episode highlights  11:00 — The industry-wide pressure to “just use AI”  13:30 — AI’s role in product discovery and rapid iteration  16:20 — Automating repetitive work with internal tools at Stripe  19:00 — What happens to entry-level roles in an AI-driven world  22:30 — Why data quality is the biggest limiter for AI systems  25:10 — The gap between AI hype and production reality  32:00 — How Stripe evaluates risk before shipping AI-powered features  35:10 — Staying grounded by continuously redefining the problem -- For more insights on partnerships, ecosystems, and integrations, visit www.pandium.com

  7. 5 мар.

    How to Build Integrations with Platforms Bigger Than You Without Getting Stuck at the Bottom of the Queue

    In this episode of Between Product and Partnerships, Biljana Pecelj joins Cristina Flaschen to explain how smaller teams successfully ship integrations with larger platform partners. She makes the case that leveraging usage data and performance metrics is the key to proving your integration's value, giving you the necessary influence to move up a major partner's priority list. Biljana shares lessons from her experience managing integrations at Hootsuite during major platform shifts, including the rise of Instagram Business APIs and the emergence of new features like Stories that didn’t always come with immediate API support. She also details the process of aligning internal stakeholders to ensure integration features actually ship despite shifting external APIs. The conversation also covers the operational side of integrations, this includes why observability needs to be built early, how teams detect silent failures before customers do, and how to structure internal alignment when integration work touches engineering, legal, partnerships, and revenue. Who we sat down with Biljana Pecelj is a Principal Product Manager at Ledgy with deep experience building integrations inside platform-heavy environments. She has worked extensively on partnership-driven product initiatives where execution speed depends on navigating both technical constraints and external partner relationships. Biljana brings expertise in: Building integrations in environments where APIs and features evolve asynchronouslyDesigning for observability and proactive monitoringNavigating asymmetric partner relationshipsAligning roadmap priorities across product, partnerships, legal, and engineeringManaging tradeoffs between beta opportunities and engineering capacityKey Topics Why integration product work is relationship workTechnical execution matters, but alignment with partners determines whether integrations actually ship and scale. Building in ecosystems you don’t controlAPIs change. Features launch without endpoints. Roadmaps shift. Successful teams anticipate uncertainty rather than assume stability. The importance of observability from day oneSilent failures are common in integrations. Without monitoring, teams often learn about outages from customers instead of systems. Roadmap tradeoffs when beta opportunities ariseNew partner features can require immediate shifts in engineering priorities. Negotiation and resource reallocation become core product skills. M&A and integration complexityBrand consolidation rarely means backend integration. Teams often inherit layered systems that remain technically independent long after acquisition. Episode Highlights 01:55 – How integration product management differs from core product work 04:40 – Navigating power imbalances with large platform partners 07:15 – Using data to strengthen partner conversations 10:30 – Building observability when resources are limited 13:45 – Handling silent integration failures 17:50 – Managing beta features and roadmap shifts 21:30 – Aligning cross-functional teams around integration priorities 24:45 – Why relationships accelerate integration execution 28:10 – Lessons learned from building inside platform ecosystems -- For more insights on partnerships, ecosystems, and integrations, visit www.pandium.com

  8. 28 янв.

    No-Code vs Code First: Why Visual Builders Often Lead to Integration Dead Ends

    Integrations look deceptively simple until they become the backbone of your business. In this episode of Between Product and Partnerships, Pandium CEO Cristina Flaschen sits down with Scott Lavery, Senior Product Manager at Arkestro. They unpack what really happens when integrations shift from a "nice to have" feature to something the company can't function without. Scott shares hard-earned lessons from a decade in B2B SaaS, covering sectors from martech to procurement. He discusses the headache of inheriting messy stacks and why iPaaS tools often hide long-term costs. The conversation also explores how integration work fundamentally changes what it means to be a product manager. Together, they dig into common failure modes and the tough tradeoffs junior PMs face when they’re "volun-told" to own integrations. Who we sat down with Scott Lavery is a Senior Product Manager at Arkestro. With over ten years of experience in B2B SaaS, he has repeatedly found himself responsible for integrations, often without ever intending to specialize in them. Scott brings expertise in: Unwinding complex iPaaS-driven environments.Designing integrations built to be "set and forget."Managing third-party dependencies alongside specific scale constraints.Advocating for pragmatic, cost-aware strategies. Key Topics Why integration PM work is fundamentally different  Integration success is defined by invisibility. Unlike standard features, value is found in reliability and trust rather than how often a user clicks a button. The hidden costs of low-code and iPaaS tools  Teams often end up writing code blocks inside "no-code" tools. We discuss how pricing models can distort architectural decisions and where velocity eventually hits a wall. What to do when you inherit a messy integration stack  Practical advice for PMs walking into undocumented systems filled with inherited workflows and vendor dependencies they can’t control. Episode Highlights 01:48 - How most PMs “fall into” owning integrations03:58 - Why integration metrics flip traditional product thinking on its head06:31 - Contextual success metrics: Why volume is not the same as value08:21 - Navigating ecosystems without becoming a domain admin11:18 - Why API docs lie and customers ignore your design intent15:37 - Warning signs of an unhealthy iPaaS environment19:05 - Silent failures and the pain of hearing about outages from customers23:45 - The code-block paradox in low-code platforms31:52 - Scott’s playbook for PMs inheriting integrations Key Takeaways Great integrations are designed to disappear  Successful integrations are rarely touched after the initial setup. In this space, reliability is a far more important metric than user engagement. Metrics are contextual, not universal A monthly sync can be just as vital as one that runs every five minutes. Frequency alone does not signal success. You can’t abstract away real-world usage  API contracts rarely reflect reality. No tool removes the need to understand how customers actually use systems like NetSuite or Salesforce. Low-code tools often trade speed for long-term pain  Teams save time early but spend years optimizing around pricing models and managing fragile logic. Inherited workflows is a scalability risk  If only one person understands the system, it is already brittle. This is a massive liability once customers are live. Silent failures erode trust fastest  Learning about outages from customers is a major failure. Proactive monitoring and clear communication are bas

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Building integrations and a SaaS ecosystem requires close collaboration between product, tech partnerships, and other GTM and technical teams. We're talking to product, partnership, and engineering leaders about how to build, support, and scale integrations and SaaS ecosystems that result in happier customers and more revenue. Watch or listen on YouTube and most podcast directories.  Want to access more content on integrations, APIs, and technology partnerships? Check out our blog and resources page here: Blog - https://www.pandium.com/blogResources - https://www.pandium.com/resource-center

Информация

  • Автор
    Pandium
  • Годы выхода
    2022 - 2026
  • Выпуски
    47
  • Ограничения
    Без ненормативной лексики
  • Авторские права
    © 2026 Between Product and Partnerships
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    Between Product and Partnerships

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