SaaSiest London Executive Edition

Talk

The CEO Exchange: What I Can Offer & Where I Need Help

Every CEO and founder gets 60 seconds to introduce themselves, share what they can help others with, and highlight one challenge where they could use some advice or support. A quick way to discover the collective experience in the room and spark valuable connections.

• Daniel NackovskiCo-Founder, SaaSiest

Talk

Reach Is the New Moat: Why CEOs & Founders Need to Build an Audience, Not Just a Product

• Nick Telson-SillettCo-Founder, trumpet

Roundtable

• Table 1

  How should we price and monetize AI?

  Seats, usage, credits, or outcomes? A peer exchange on which AI pricing models customers accept, which protect margin, and which looked good on paper and failed in the renewal conversation.

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• Table 2

  From SaaS to AI-native: What does it actually take to transform an existing software company?

  Adding AI features is one thing. Transforming an established SaaS business into an AI-native company is something entirely different. Hear what CEOs already on the journey have changed across product, technology, people, GTM and business model, what it cost, what went wrong and what impact they've actually seen.

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Talk

Building the AI-native sales team: How they're rethinking sales at Lovable

• James BuckleyHead of EMEA GTM, Lovable

Talk

AI is changing the growth playbook. The winners will become more human, not less.

• Varun AtreyProduct Marketing Director, Legora

Roundtable

• Table 1

  Pricing: How are you monetizing for AI and usage

  Moving from seats to usage, credits or outcomes. Migration strategies for existing customers, packaging AI features, protecting margin on token costs, and what customers will accept.

  Read more
  • Martin KåverVice President of Sales, Younium · Roundtable host
• Table 2

  What tactics work to accelerate existing pipeline to close faster?

  Stalled deals and longer sales cycles are hurting forecasts across SaaS. This table looks at what actually moves a buying committee to a decision: mutual action plans, multi-threading, deal reviews and clear next steps.

  Read more
  • Devang AgrawalCo-founder, Airspeed · Roundtable host
• Table 3

  Upskilling: How to help your team keep up with AI

  Successful teams know how to use AI to power their work, but how do you get yours there? Formal trainings? Protected time for exploration? AI champions who support teammates who are struggling? Let's swap notes on what's working, because we all know a Claude subscription alone isn't enough.

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  • Bettina SpechtHead of Marketing, Beefree · Roundtable host
• Table 4

  Your customers are asking ChatGPT who to buy from. How do you make sure you show up?

  Software discovery is moving beyond traditional search as buyers increasingly turn to LLMs for research and recommendations. Compare what companies are doing to become visible and recommended in AI-generated answers, how they're measuring it, and whether it's actually translating into pipeline.

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  • Carol HowleyChief Marketing Officer, Enhesa · Roundtable host
• Table 5

  Pipeline generation, what are you doing to drive new pipeline?

  The old pipeline playbook isn't producing like it used to. Compare what's actually generating qualified pipeline today, which channels and tactics teams are doubling down on, what they've stopped doing, and where they're finding new sources of demand.

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  • Nicola AndersonCo-Founder CMO Circle and CMO Amplified Group, · Roundtable host
• Table 6

  Winning the enterprise: What does it actually take to win enterprise size deals?

  Moving upmarket means bigger opportunities, but also more stakeholders, longer cycles, procurement, security and greater perceived risk. Compare how companies are breaking into enterprise accounts, building champions, navigating complex buying processes and becoming the safe choice when competing against established players.

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  • Sam DhingraVice President of Sales, Xelix · Roundtable host
• Table 7

  International expansion: Do's and Dont's'

  Which market to enter next, when to hire locally, and when to keep selling from home. Operators share what worked, what cost them a year, and the signals they now look for before committing to a new country.

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  • Machiel KunstFounder & CEO, Bluebird · Roundtable host

Workshop

AI Finance Hackathon: Put AI to Work in Your Finance Function

• Jonathan TeirCo-Founder, Greenstep · Host

Talk

AI Just Broke Your Strategy. Here’s How to Fix It.

• Martin ErikssonAuthor, The Decision Stack. ex Product Partner, EQT Ventures,
• Dave KilleenField CPO, Pendo

Roundtable

• Table 1

  The AI-First Product Team: Which Roles, Processes and Skills Still Matter?

  When AI writes code and specs, what does a product manager, designer or engineer do? Roles, rituals and hiring profiles for a product team built around AI.

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• Table 2

  Product strategy: How are you adapting your product strategy to stay competitive in the age of AI?

  Your users now work inside AI tools every day. How product leaders decide what to build, what to stop, and what makes their product defensible.

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  • Martin ErikssonAuthor, The Decision Stack. ex Product Partner, EQT Ventures, · Roundtable host
• Table 3

  Protect the Core or Build the Next Product?

  Keep investing in the platform that pays the bills, or bet on an AI-native product? How companies split resources, teams and roadmaps between the two.

  Read more
  • Dave KilleenField CPO, Pendo · Roundtable host
• Table 4

  AI Brought Back Custom Work. Do Unit Economics Still Work with FDEs?

  SaaS made its money by selling one product to thousands of customers, with no custom builds for anyone. That model is why SaaS unit economics beat those of older, project-driven software companies. AI changed the equation. With coding tools, a custom feature or integration takes hours instead of weeks, so customers ask, sales says yes, and engineering delivers. Companies are now hiring Forward Deployed Engineers (FDEs) to sit with their biggest accounts and build what each one needs. But every custom build means a slightly different product, heavier AI usage, dedicated environments and engineering time, and few teams know what each of those customers really costs. Do you fight it and protect the menu, or staff it with FDEs and put a chef at the table? And once you do, does the table still pay for itself? Join operators who have lived both sides to compare notes on where the line is, and what it does to margin, cost to serve and unit economics.

  Read more
  • Kushagra SahniAssociate Director - Product, CloudKeeper · Roundtable host

Talk

How CS leaders can prove ROI to customers to drive retention and renewal — even without perfect product data.

• Anika ZubairFounder & CEO, The Customer Success Pro

Talk

How does Customer Success earn its place at the leadership table?

• Melanie LawnVP Customer Success & Services, Semble

Roundtable

• Table 1

  How do you quantify and prove the ROI you create for your customers?

  How do you make customer value measurable when your product doesn't directly generate € or $ revenue? Compare how other CS teams quantify and communicate ROI, from value reports and QBRs to hours saved, outcomes achieved and business cases that help champions justify the investment internally.

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  • Anika ZubairFounder & CEO, The Customer Success Pro · Roundtable host
• Table 2

  What needs to change for CS to become a true strategic function?

  What's working, what's not, and what does it actually take for CS to become a trusted voice in the leadership team? Join fellow CS leaders to exchange experiences, challenge assumptions, and share practical ways to increase the strategic influence of Customer Success.

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  • Melanie LawnVP Customer Success & Services, Semble · Roundtable host
• Table 3

  NRR doesn't grow by itself – What is your team actively doing to drive expansion?

  This table goes beyond measuring NRR and compares the actual plays CS teams are using to grow existing accounts. Share what's working across expansion, adoption, stakeholder engagement, upsell and cross-sell and what is actually moving the number.

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  • Jennifer YorkeChief Customer Officer, Board Intelligence · Roundtable host

Roundtable

• Table 1

  How are you actually improving operational efficiency and EBITDA without sacrificing growth?

  Beyond pilots. Where AI has lowered cost or raised output across the company, how CEOs measured it, and what it means for hiring plans and margins.

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• Table 2

  GTM Execution - Clever distribution tactics that work in the age of AI

  Distribution decides who wins when features are easy to copy. CEOs share go-to-market moves that worked: partnerships, community, product-led loops, visibility in AI search and unconventional channels.

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Talk

The Revenue Leader’s Guide to 2027 Planning

How do you build a revenue plan when growth, retention, and efficiency all demand attention? Melissa Coleman shares practical principles for setting priorities, allocating resources, and making the trade-offs that will shape your 2027 plan.

• Melissa ColemanVP Revenue Strategy & Operations, Celonis

Roundtable

• Table 1

  Pricing: How are you monetizing for AI and usage

  Moving from seats to usage, credits or outcomes. Migration strategies for existing customers, packaging AI features, protecting margin on token costs, and what customers will accept.

  Read more
  • Martin KåverVice President of Sales, Younium · Roundtable host
• Table 2

  Branding: How are you standing out when AI flattens the product

  When features are easy to copy, brand becomes the differentiator. How teams build a brand buyers remember, and how they measure its effect on pipeline.

  Read more
  • Donal Mac ManusSVP Marketing, Zensai · Roundtable host
• Table 3

  RevOps: What does modern RevOps looks like

  Forecasting usage-based revenue, building one source of truth, commission design and the tooling behind it. What RevOps owns in 2026, and what it should stop doing.

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  • Melissa ColemanVP Revenue Strategy & Operations, Celonis · Roundtable host
• Table 4

  What tactics work to accelerate existing pipeline to close faster?

  Stalled deals and longer sales cycles are hurting forecasts across SaaS. This table looks at what actually moves a buying committee to a decision: mutual action plans, multi-threading, deal reviews and clear next steps.

  Read more
  • Devang AgrawalCo-founder, Airspeed · Roundtable host
• Table 5

  What does the future Revenue organization look like

  Sales, marketing, CS, partnerships and RevOps under one leader, or not? Reporting lines, specialised motions such as PLG, sales-led and indirect, and how AI changes the roles and headcount a revenue team needs.

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  • Carl CarellCo-Founder & CRO, GetAccept · Roundtable host
• Table 6

  Marketing budget: where, why and how are you spending your marketing dollars 2027

  Paid, events, content, brand or people? How marketing leaders are shifting budget across channels for 2027, how they defend it to the board, and which spend they can tie to pipeline.

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• Table 7

  How to AI in GTM: What have you automated, what did it replace, and what did you save?

  Sending more emails or summarizing calls isn't business impact. Compare where Sales teams are using AI to actually move commercial numbers, more revenue, higher conversion, lower CAC or reduced costs and which use cases have delivered measurable results.

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  • Dimitri KrabbenborEnterprise AE turned GTM Recruiter, Bluebird · Roundtable host

Workshop

AI Finance Hackathon: Put AI to Work in Your Finance Function

• Jonathan TeirCo-Founder, Greenstep · Host

Talk

Frugal AI: How to scale AI without destroying your margins

• Dael WilliamsonCPTO, PhysicsX (Ex-Databricks)

Roundtable

• Table 1

  Agents in the product: How do you design agentic experiences users trust, and where the human side still matters.

  Autonomy, transparency and control. How teams design agents people rely on, where a human stays in the loop, and how they measure trust.

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• Table 2

  Pricing of AI features - how do you get your customers to pay for this?

  Bundle, add-on, usage or outcome? How product teams price AI features, cover inference costs and get customers to pay.

  Read more
  • Dael WilliamsonCPTO, PhysicsX (Ex-Databricks) · Roundtable host
• Table 3

  How do you rethink your Operating model to keep Product, Engineering and GTM moving at the same speed?

  Engineering now ships faster than the rest of the company can absorb. Planning cycles, release communication, enablement, and how go-to-market keeps up with AI-speed delivery.

  Read more
• Table 4

  AI Brought Back Custom Work. Do Unit Economics Still Work with FDEs??

  SaaS made its money by selling one product to thousands of customers, with no custom builds for anyone. That model is why SaaS unit economics beat those of older, project-driven software companies. AI changed the equation. With coding tools, a custom feature or integration takes hours instead of weeks, so customers ask, sales says yes, and engineering delivers. Companies are now hiring Forward Deployed Engineers (FDEs) to sit with their biggest accounts and build what each one needs. But every custom build means a slightly different product, heavier AI usage, dedicated environments and engineering time, and few teams know what each of those customers really costs. Do you fight it and protect the menu, or staff it with FDEs and put a chef at the table? And once you do, does the table still pay for itself? Join operators who have lived both sides to compare notes on where the line is, and what it does to margin, cost to serve and unit economics.

  Read more
  • Kushagra SahniAssociate Director - Product, CloudKeeper · Roundtable host

Talk

Revenue Is the Result: Lessons From Building a Customer Department Five Times

• Luke HarrisVP Customer Success, Risk Ledger

Roundtable

• Table 1

  Base, bonus or commission: How should we compensate the commercial CSM?

  As CS takes on renewal and expansion targets, pay has to follow. Variable pay models, target setting, and how to reward retention without turning CSMs into salespeople.

  Read more
• Table 2

  Commercial CS without turning CSMs into salespeople: how do you split the ownership?

  More CS teams now carry revenue targets, but few companies agree on which ones. We compare how each of us has split it. Who owns the renewal, who owns expansion, and does one person hold the account or do you separate CSMs from account managers? Which targets has your CS team taken on, and what did it do to retention and to the customer relationship when they did?

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  • Luke HarrisVP Customer Success, Risk Ledger · Roundtable host
• Table 3

  AI agents or CSMs? What is better done by the human?

  Compare where CS teams are successfully using AI agents today, what they're keeping human, and why. Share real use cases and discuss how AI changes the role of the CSM, customer coverage and the economics of scaling CS.

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Roundtable

• Table 1

  Building a company second brain: where do you start, and who owns it?

  Most of what a company knows sits in meetings, call recordings, tickets and people's heads. AI can now pull that together, and many CEOs are trying to build one shared memory that every team and agent can draw on. We compare how far each of us has come. What did you connect first, who owns it, and how do you handle privacy and employee trust when every call is transcribed? And what has it changed so far in how decisions get made?

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• Table 2

  If you were building your software company from scratch today, what would you do differently?

  What buyers and investors look for in a SaaS company today, and what to fix 12 to 24 months before a transaction: metrics, data room, management depth and clean contracts.

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Roundtable

• Table 1

  How to AI in Sales

  Prospecting, call preparation, follow-up and forecasting: where AI saves sellers time and where it hurts the conversation. Concrete use cases, adoption, and what teams measured before and after.

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  • Sara StormSVP EMEA, N.Rich · Roundtable host
• Table 2

  Account Management: Expansion within existing customers, what works vs doesn't

  Growing revenue from the customers you already have. Who owns expansion, how to spot upsell signals, and how to keep accounts when customers consolidate vendors.

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• Table 3

  Positioning: How are you(re)Positioning in the age of AI

  AI-native competitors and new buyer expectations are forcing a rethink of category and message. How companies reposition without confusing existing customers, and how they test whether the new story lands.

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  • Sarah DyerCMO, · Roundtable host
• Table 4

  Pipeline generation, what are you doing to drive new pipeline?

  Inbound, outbound, events, partners or ABM: what is filling pipeline right now? Channel mix, the balance between automated outreach and a well-timed human conversation, and what changed in the last twelve months.

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  • Nicola AndersonCo-Founder CMO Circle and CMO Amplified Group, · Roundtable host
• Table 5

  Scaling LinkedIn Ads Without Burning Budget

  LinkedIn Ads work until you try to scale them. Then CPCs climb, audiences saturate and the pipeline math stops adding up. This round table is for marketing leaders who have moved past the pilot stage and want to grow spend without growing waste: how to structure campaigns for scale, which signals to trust when deciding where the next pound goes, and when to stop pouring money in.

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  • Adam HolmgrenCo-founder & CEO, Fibbler · Roundtable host
• Table 6

  What should the modern B2B Marketing team look like

  Which roles to hire, which to automate, and how marketing works with sales. Team shape, skills and structure for a B2B marketing team going into 2027.

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  • Bettina SpechtHead of Marketing, Beefree · Roundtable host
• Table 7

  Partner & Channel Sales: what works vs what doesn't

  Resellers, referral partners, integrations and marketplaces. Which partner models drive revenue, how to structure incentives, and when a channel programme is worth the investment.

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Workshop

AI Finance Hackathon: Put AI to Work in Your Finance Function

• Jonathan TeirCo-Founder, Greenstep · Host

Talk

The product management function as we know it is about to change. Are you ready?

• Dan DaltonDirector of Product, Sage

Roundtable

• Table 1

  What will the product management function look like in the age of AI?

  What responsibilities will change, which skills will matter most, and how should we rethink the way product teams are structured and operate? Join fellow product leaders to exchange perspectives, challenges, and practical experiences on what comes next for the PM function.

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• Table 2

  What about compliance: how do you keep customer trust on security, compliance and legal?

  Putting AI in the product brings new questions from customers: where their data goes, which models see it, who is liable when an agent gets it wrong. In regulated markets those questions can stop a deal or a renewal. CPOs and CTOs compare how they handle security reviews and compliance for AI features, what they have had to build or document to pass them, and how they keep up when the models and the rules change every few months.

  Read more
• Table 3

  How do you modernize your tech stack without slowing down the business?

  Legacy architecture, technical debt, and growing customer demands can make innovation difficult. How are product and engineering leaders balancing modernization with shipping new features and delivering on existing commitments? Share practical approaches to prioritizing technical debt, evolving architecture, and making existing platforms ready for what's next.

  Read more
• Table 4

  AI is making engineering teams faster, but is it making software companies more profitable?

  AI coding tools promise massive productivity gains, but are these improvements actually showing up on the bottom line? Are companies reducing development costs, shipping more valuable products, or generating more revenue? Join fellow product and engineering leaders to compare real experiences, discuss how to measure the business impact of AI, and explore whether increased engineering output is translating into better business outcomes

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Talk

Talk title announced in October

Speaker announced in October

Roundtable

• Table 1

  What does the the future CS org and stack look like?

  How should CS teams be structured going forward, and what tech stack do you invest in to support the future?

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• Table 2

  When value happens outside your product: how does CS work with consumption pricing and MCP?

  When pricing moves from seats to usage or outcomes, revenue follows adoption month by month and renewal stops being a date in the calendar. How do you forecast, set targets and pay the team when that happens? And which health signals still count when customers use your product through agents and never log in?.

  Read more
• Table 3

  Your AI features are live. How do you get customers to use and pay for them?

  Shipping AI features is the easy part. Getting customers to change how they work has landed on CS. How do you handle sceptical users and blocked security reviews, what do you measure when the old usage metrics no longer fit, and how do you get customers through a redesign without putting renewals at risk?

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