Marketers of Technology

The Front Lines

Conversations with the marketers building the narratives, brands, and categories that shape technology adoption.

  1. 4h ago

    How Parabilis built a podcast that government agencies would actually come on | Teresa Moon

    Parabolis provides revolving lines of credit to small and mid-sized businesses operating in the federal marketplace. The company was founded by former federal contracting executives in 2013, grew entirely through word of mouth for years, and brought on its first dedicated marketing leader in 2020. In a recent episode of Marketers of Technology, we sat down with Teresa Moon, Vice President of Communications and Marketing at Parabilis, to learn how she built a content and category creation strategy for a highly regulated, niche financial services company serving government contractors. Topics Discussed: How Teresa came to lead marketing at a finance company with no prior marketing backgroundWhy word of mouth alone could not sustain long-term growth for ParabolisHow Teresa translated her teaching and sales experience into a content strategy for a regulated industryWhy Parabolis created its own category ("federal market credit") instead of accepting the "alternative lender" labelHow Parabolis started appearing in ChatGPT and Claude before they were actively targeting those platformsWhy GEO (Generative Engine Optimization) became a meaningful differentiator for a niche lenderHow their podcast "Spilling the Tea on GovCon" humanizes the brand and builds trust with both government agencies and small businessesHow Teresa thinks about the intersection of marketing and sales for a boutique lender Marketing Lessons: Category creation as a defensive move: Teresa said the finance and government contracting industries are both saturated. Rather than compete as an "alternative lender" — a label she said carries negative connotations — Parabolis created a new category called "federal market credit." That specificity allowed them to differentiate in both SEO and GEO contexts.Content built for education earns trust in regulated markets: Teresa came from a teaching background and approached marketing by asking how she could make complex financial topics digestible. She said her goal was to give potential clients enough information to "advocate for yourself." In financial services, where the conversation requires some vulnerability from the client, that approach reduced friction.Showing up in AI before you try: Parabolis started appearing in ChatGPT and Claude search results for terms like "federal contract financing" before they had any intentional GEO strategy. Teresa said that was because the content creation and thought leadership they had already done was being pooled by those platforms.Podcasting as business development: Parabolis runs a podcast called Spilling the Tea on GovCon that focuses on storytelling rather than finance or government topics directly. Teresa said the goal was to give government agencies and large businesses a forum to talk about their published objectives, which in turn softened those institutions toward Parabolis.Human interaction as a marketing asset: Teresa said that some of the best marketing executives understand the mechanics of KPIs and metrics but are not comfortable getting in front of a camera. She built her marketing approach around that willingness to show up personally, which she traced back to her time in multi-level marketing where she ran video series. // Sponsors: Front Lines — Silicon Valley's leading Podcast Production Studio. We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. Mention you are a listener and get a 10% discount. www.FrontLines.io/Podcast-as-a-Service

    How Parabilis built a podcast that government agencies would actually come on | Teresa Moon
  2. 7h ago

    What CIOs actually respond to when you stop treating them as buttoned-up | Audrey Agahan

    HappySignals builds experience intelligence software for enterprise IT. Most IT tools measure technical performance: uptime, ticket volumes, resolution times. HappySignals measures what those tools miss: how employees actually experience the technology they use every day. In a recent episode of Marketers of Technology, we sat down with Audrey Agahan-Nurmisto, Vice President of Marketing at HappySignals, to talk about marketing a category that most IT buyers don't know they need yet, why a Love Island campaign became the highest-engagement LinkedIn content the company has ever run, and why she disagrees with the trend of cutting marketing headcount for AI. Topics Discussed: How Audrey built her B2B marketing career over 20-plus years, from marketing teams of one at startups to leading teams of twentyWhy HappySignals has to educate buyers on why measuring the human experience of IT matters before it can generate demandHow the team targets specific use cases tied to buyer goals as a more practical entry point than leading with the category storyThe Love Island campaign that caused internal debate but produced the highest LinkedIn engagement the company had seenHow a six-person marketing team markets to enterprise IT leaders across Europe, North America, and AustraliaHow HappySignals connected its messaging guide and brand guidelines to AI tools so sales can generate content without waiting on marketingThe two-week sprint model the team uses to stay focused and run experiments fasterHow the team is running parallel experiments across three markets to find which has the fastest inbound pathWhy Audrey thinks companies cutting marketing headcount for AI will need to rebuild those teams later Marketing Lessons: Market education comes before demand: Audrey said the existing tools IT companies use already give them their own way of measuring technology, so HappySignals has to help buyers understand why measuring the human experience matters. Rather than leading with the category story, the team targets specific use cases tied to buyer goals - like mean time to resolution for IT tickets - as a practical entry point.Creativity in B2B requires the willingness to be wrong: The Love Island campaign announcing a partnership generated internal pushback. Some colleagues felt CIOs would find it unprofessional. It became the highest-engagement LinkedIn content the company had run. Audrey said: "you can't make everybody happy and we took a risk and we wanted to be really creative."AI works best with guardrails built in: HappySignals put its messaging guide and brand guidelines inside its AI tools so sales teams can create emails and decks without relying on marketing. The system produces on-brand content without marketing as the bottleneck.The homogenization problem with AI content: Audrey's concern about companies cutting teams for AI is not just quality - it's differentiation. "If everybody's using AI, they're getting like a lot of the same ideas." The companies that will stand out are the ones with people who can bring creative direction AI cannot replicate.Sprints keep a small team from spreading thin: The HappySignals marketing team runs two-week sprints aligned with the product team. The structure forces everyone to focus on one initiative at a time, which helps a team of six move faster than if each person were running separate workstreams simultaneously. // Sponsors: Front Lines - Silicon Valley's leading Podcast Production Studio. We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. Mention you are a listener and get a 10% discount. www.FrontLines.io/Podcast-as-a-Service

    What CIOs actually respond to when you stop treating them as buttoned-up | Audrey Agahan
  3. 8h ago

    Marketing a category no one knows exists | Sam Ancliff

    Sam Ancliff is Head of Marketing at i-nexus and author of Building Tall, a marketing playbook he originally wrote as an internal guide for his team. i-nexus is strategy software that helps organizations align people and projects to their goals. Sam came to marketing by accident, starting his career in the British Army, then moving into recruitment, before discovering that what he loved was building his own brand. In a recent episode of The Marketers of Technology, Andres sat down with Sam to learn how he rebuilt the marketing function at i-nexus, identified a precise ICP inside a massive and largely undiscovered market, and developed a system for scaling demand without adding headcount. Topics Discussed: How Sam went from British Army linguist to accidental marketerWhy Sam wrote Building Tall as an internal playbook before it became a bookHow i-nexus identified German manufacturing companies as its primary ICPWhy Sam cut from 50 SQLs per month to 10 to fix a 7% conversion rateHow i-nexus is using a partner-first model to scale in Germany without growing headcountWhy Sam believes most organizations in their market are still running strategy on Excel spreadsheetsHow i-nexus plans to turn its website into an AI chatbotSam's goal: automate as much of his marketing job as possible by end of 2026 GTM & Marketing Lessons: Start with the data before you pick the market: Sam did not guess which customers to go after. He pulled every data point he could access and looked for patterns across conversion rates, deployment ease, and customer growth. German manufacturing companies won on every measure. That became the ICP.Cutting volume is not failure if conversion was the problem: Sam went from sending sales 50 SQLs per month to around 10. On the surface that sounds like a step backward. But the prior conversion rate was 7%. Those 50 leads were costing the sales team 50 hours of discovery calls that went nowhere. The smaller number represented a genuine signal.Build one pillar before starting the next: The Building Tall system is about getting exceptional at one thing before adding adjacent efforts. Once i-nexus had the German manufacturing motion working, including content, campaigns, and partners, the US expansion became largely a translation exercise.Use partners to scale what headcount cannot: With a total company of about 25 people and a marketing team of 7, i-nexus cannot hire its way into new markets. The partner model in Germany lets i-nexus reach customers, handle referrals, and manage implementation without proportionally growing the team.Match the website experience to the product experience: Sam is rebuilding the i-nexus website as an AI chatbot because the product now surfaces data through AI insights. If the product is agentic, the marketing surface should introduce that way of working from the first interaction. Sam said people who bounce off the AI front page probably were not going to use the product anyway. // Sponsors: Front Lines — Silicon Valley's leading Podcast Production Studio. We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. Mention you are a listener and get a 10% discount. www.FrontLines.io/Podcast-as-a-Service

    Marketing a category no one knows exists | Sam Ancliff
  4. 6d ago

    Create, don't copy: SafetyWing's case against marketing best practices | Joey Flores

    SafetyWing is building a social safety net for people who live, work, and travel across borders — covering health insurance, income protection, disability, and life insurance that follows you around the world. The company was founded in 2017 and has insured over 400,000 people through its consumer products. Its Trustpilot rating sits at 4.3 stars. Its NPS score is 10x the insurance industry average. In a recent episode of Marketers of Technology, we sat down with Joey Flores, Head of Marketing at SafetyWing, to learn how a nine-year-old company built category leadership in global health insurance by rejecting fear-based marketing and betting on an aspirational brand identity. Topics Discussed: How SafetyWing builds trust across a product category where customers hope they never need the productWhy SafetyWing uses cartoon birds instead of the fear-based visual language that defines traditional insuranceHow "create, don't copy" shapes every marketing and brand decision at SafetyWingWhy the company launched a US-specific team health plan after years of global-first productsHow SafetyWing is using AI to compress the time between claim submission and resolutionThe ambassador program featuring extreme adventurers and what it reveals about SafetyWing's brand strategyHow the brand's distinctiveness shortens the customer recognition path in a crowded market GTM and Technology Adoption Lessons: Brand distinctiveness as adoption infrastructure: Joey said the cartoon birds create a shortcut. "the birds are just so damn memorable, like, you don't expect it from an insurance company." Aspirational branding in a fear-driven category: Traditional insurance marketing creates urgency through fear of loss. SafetyWing chose the opposite. Joey explained: "We don't think of ourselves as an insurance company. Trust has to be rebuilt with each new product: SafetyWing's 4.3 Trustpilot score and 10x industry NPS are earned on existing products. But when the company launched income protection, Joey noted: "when we, when we roll out new products, for example, there's a bit of like doing that again, right? Like, okay, I trust you with my health. But like, you know, our newest product has income protection.Create, don't copy as a design constraint: When redesigning the homepage, the team came in with a standard three-plan pricing layout. A founder pushed back. Joey said: "every landing page I've ever been on has three plans next to each other. And the goal is always that you pick. The consumer will pick the middle plan... I was like, this is just like, I'm so tired of seeing this. It's like, can we do something else?" The principle is not novelty for its own sake. It is the recognition that best practices are defaults, and defaults are opportunities for differentiation.Ambassador programs as brand proof: Sponsoring Ria G., who is running 20,000 km from China to Portugal, completing her 66th consecutive ultra marathon at the time of recording, is not a traditional brand awareness play. It is a live demonstration of what SafetyWing makes possible.AI for claims process improvement: SafetyWing deployed AI to flag missing claim documents at the point of submission rather than days later after human review. Joey described the practical impact: "it doesn't just shorten it by the two days it took a human to review it, it may shorten it by the two weeks that they would have waited to sit down again and do it." US expansion as a distinct product bet: The global team health plan has been running for years. The US plan launched at the start of 2026 because US healthcare operates in a different regulatory and pricing environment. // Sponsors: Front Lines - Silicon Valley's leading Podcast Production Studio. We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. Mention you are a listener and get a 10% discount. www.FrontLines.io/Podcast-as-a-Service

    Create, don't copy: SafetyWing's case against marketing best practices | Joey Flores
  5. 6d ago

    Building Trust in AI Music: How Aiode Made Ethics the Product

    Aiode is a deep tech AI and music AI company that has built proprietary models enabling professional music creators to produce ethically sourced, performable music. The platform operates as a professional DAW-like environment - with knobs, timelines, and model configurations - rather than a text-based interface. Aiode's three core models include single musician models (virtual representations of real artists built with consent), a synergy model for production fills, and the Sample Remaker, which adapts any sample to the tempo and feel of a current project. Every model on the platform was trained on proprietary, licensed, or owned data, and musicians receive revenue share payments each time their model is used. The company is partnered with Abbey Road Studios and has passed 100,000 users. In a recent episode of Marketers of Technology, we sat down with Varda Caspi, Vice President Marketing of Aiode, to learn how she built the company's brand from zero - no brand, just a name - and positioned it as the ethical alternative in an AI music market that often treats data as a resource to be scraped. Topics covered: How Aiode's proprietary training approach gives users full ownership of everything they create on the platformThe "prosumer" target market - professional consumers who evaluate tools with B2B scrutiny but behave like B2C on retail habitsWhy Aiode set its three-year positioning before releasing the initial alphaHow a community-first strategy (Discord, thousands of one-on-one calls in year one) generated 100,000 users on a low budgetThe Abbey Road partnership and how third-party credibility anchors trust in a crowded AI marketWhy Aiode's platform produces only performable music and why that matters to professional producers GTM and marketing takeaways: Set positioning before you launch: Varda built Aiode's three-year brand framework before the alpha was releasedFlank the market leader: rather than competing head-on for the mass B2C market, Aiode targeted the prosumer - a segment that buys like a consumer but vets like a B2B buyerEngage critics directly: Aiode's community strategy included going to Discord and inviting skeptics, including people who opened with "music AI needs to die"Trust through association: the Abbey Road partnership gave Aiode immediate credibility with the professional audience it was targetingLet the business model prove the message: paying musicians revenue share on every model use made the "ethical AI" positioning verifiable, not just verbal

    Building Trust in AI Music: How Aiode Made Ethics the Product
  6. Aug 27

    Why every WindBorne employee is part of the marketing team

    WindBorne Systems builds a network of autonomous weather balloons that stay aloft for 12 to 15 days and collect 30 to 50 times more data than traditional weather balloons, which are latex balloons that go up and pop after 90 minutes. The company sells weather data to the government and has partnerships with the Gates Foundation. WindBorne is the only in-situ weather data provider for the global forecasting system, meaning that when you check your phone for the weather, you are getting data from their balloon network. In a recent episode, we sat down with ⁠Ellie Yoon⁠, Head of Communications at ⁠WindBorne Systems⁠, to learn how a one-person comms team is building brand awareness, earning media coverage, and turning an entire company into a marketing function without a conventional marketing budget. Topics Discussed: How Ellie structures marketing when the product is weather data sold to governments and the company does not run conventional adsWhy she set a goal to get WindBorne balloons placed in science museums across the countryHow WindBorne earned a spot on TIME's Best Inventions of 2025 through relationship-building, not a PR campaignWhy she sent a company-wide message declaring that every employee is part of the marketing teamThe "Let's talk about the weather" hats and how they became a network of walking billboardsHow WindBorne's Met Gala-themed event at SF Climate Week built community without a big marketing budgetThe dinner table framework: how Ellie thinks about reaching three different audiences with three completely different reasons to care about better weather forecastingThe goal of putting 10,000 balloons in the air and what a 30-day weather forecast could mean for everyday decisionsWhy WindBorne's R&D balloon "The Elder" stayed up for 345 days and set the world record for longest stratospheric balloon flight GTM & Technology Adoption Lessons: When your product is invisible, make your hardware tangible: WindBorne sells data, but the balloons are physical and visible. Ellie recognized that "the moat is the very thing that brought me from New York to San Francisco, which is we have tangible hardware." Getting people to see a balloon go up in person changes how they understand the technology. Turn your employees into a distributed ambassador network: With limited budget and no billboard, Ellie created a hat that says "Let's talk about the weather" and built it into a credentialing system. Employees who speak at conferences or attend events get the hat. Build toward channels where your buyer is already present: When asked to drive inbound, Ellie chose science museums. The reasoning was specific. She needed name recognition before LinkedIn ads could work. Parents taking kids to SF Bay Area science museums are statistically likely to work in tech. Maintain media relationships, not just lists: The TIME Best Inventions 2025 recognition came from a reporter who had previously interviewed CEO John. Ellie keeps her media list updated weekly, tracks the last time she spoke with each reporter, and preps journalists for how fast John speaks. Declare accountability before assuming it exists: Ellie sent an internal message telling every WindBorne employee they were part of the marketing team. She said it changed people's behavior. The announcement created accountability for how employees pitch the company and represent it externally. Budget constraints as a forcing function: The limited marketing budget pushed Ellie toward approaches that turned out to be more durable than paid channels. The scarcity kept her oriented toward earned media, community events, and in-person presence. // Sponsors: Front Lines -- Silicon Valley's leading Podcast Production Studio. We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. Mention you are a listener and get a 10% discount. www.FrontLines.io/Podcast-as-a-Service

    Why every WindBorne employee is part of the marketing team
  7. Aug 27

    Why Agtech Customers Don't Care About Your Product Features

    Doktar Technologies is an Istanbul-based agri-intelligence company that builds AI-powered tools and programs to transform agriculture. The company's platform combines proprietary IoT hardware devices - deployed directly in agricultural fields - with integrated AI models that process field data and translate it into actionable insights. Doktar serves two main segments: large farmers and farming communities (B2C), and major corporate agribusiness clients including Nestle, Coca-Cola, Danone, Microsoft, and Cargill (B2B). The company measures its impact across five pillars: water management, soil health, biodiversity preservation, farmer livelihoods, and carbon reduction and removal. In a recent episode of Marketers of Technology, we sat down with Bengi Yeniaydin, Head of Marketing at Doktar Technologies, to learn how she rebuilt a leaderless marketing team from scratch, constructed a unified data-backed brand narrative for a complex AI and IoT platform, and why the most important thing a marketer can do in an AI-saturated content environment is stay calm and filter the noise. Topics Covered: How Doktar's platform combines IoT field devices with AI models to deliver measurable agricultural outcomes for farmers and corporate clientsThe challenge of building a complete, data-backed brand narrative where previously only fragmented product-level stories existedWhy Bengi's industrial engineering background drove a systematic, process-first approach to restructuring the marketing function after nearly two years without a leaderManaging a multidisciplinary six-person team across brand, content, growth, product marketing, events, and corporate communicationsHow Doktar avoids AI-generated content sameness by combining AI tools with mandatory whole-team review before any content is publishedDoktar's 2026 priorities: deepening data-backed storytelling, localizing the global narrative, and expanding presence across the Middle East, Europe, and Africa GTM Takeaways: Sell outcomes, not features. Customers - whether individual farmers or Fortune 500 procurement teams - care about measurable impact, not product specifications or data accuracy claims. Bengi made this shift the foundation of Doktar's new brand narrative.Fix the process before fixing the messaging. Bengi's first moves at Doktar were structural: rebuilding tone guides, reassigning roles, reactivating stalled projects, and mapping the internal collaboration breakdown that was limiting external clarity.A global narrative needs local roots. Doktar's storytelling approach builds one cohesive impact story at the global level, then localizes it through farmer case studies and country-specific content for each new market.Resist AI content inflation. Bengi's team uses AI tools actively, but every piece of content goes through collective team review before publication. The goal is to preserve the company's voice and value proposition in a landscape where most AI-generated content sounds identical.Internal alignment drives external clarity. Breaking out of the marketing silo and working closely with sales, sustainability, and business development is what makes consistent, credible messaging possible for a small team covering multiple markets.

    Why Agtech Customers Don't Care About Your Product Features
  8. Aug 26

    13 Years at Salesforce, Now Running a 3-Person Marketing Team: What Lauren Esposito Found in the Gap

    Lauren Esposito spent 13 years at Salesforce leading some of the company's most complex brand integration work -- helping more than 20 acquired companies come into the Salesforce ecosystem, building the first global brand marketing organization, and working on the launch of Agentforce. When she joined Asymbl as CMO, she walked into a different kind of challenge: a full repositioning of a Salesforce partner into an AI workforce orchestration company, with a team of three and four months to get it done. The answer was the company's own philosophy. Asymbl does not deploy AI as a set of tools. It hires AI as a workforce - with names, job descriptions, KPIs, and a human manager responsible for coaching each digital worker week over week. The rebrand was built by running that philosophy on the rebrand itself. In this episode, Lauren breaks down how the work got done, what the AI org chart at Asymbl actually looks like, what she is looking for in AI-fluent hires, and why she believes the biggest rebrand mistakes come from projecting too far ahead rather than staying grounded in what is true right now. Key topics covered: Why Asymbl repositioned from a tools-focused AI narrative to treating AI as digital workers with human managersHow Lauren executed a four-month rebrand with a team of three and a 60-day budget, using AI to cover the execution gapThe internal AI org chart: Casey (digital content guardian), Sim (mascot turned generative asset), the inbound prospecting worker, service workers tracking project risks, and a Slack-based digital worker made up of 50 agentsAI fluency in hiring: the new role type Asymbl is building - people who coach and manage AI rather than just use itThe governance reality: skills that get built and then locked down, integrations that go offline, and why mitigation planning is not optionalBuild vs. buy vs. borrow: why the question is not just "can we build this?" but "should we?"Community sharing -- an internal Slack channel where employees share what they have built -- as the fastest driver of adoptionRebrand advice: authenticity over tactics, and staying grounded in what is factually true rather than chasing trends GTM Takeaways: Repositioning requires a "why" before a look. Lauren's first step was not naming a design agency. It was answering why the rebrand was necessary. The answer - Asymbl had developed a genuinely distinct philosophy around AI as a workforce - became the foundation for every brand decision that followed.Apply your own product to your own work. The only way a team of three could execute a four-month rebrand was to use the same AI workforce approach Asymbl sells to clients. Name your digital workers. Asymbl gives every AI worker a name and a place on the org chart. Lauren found that naming accelerates adoption: "when you kind of name these digital workers, it's the same thing as naming your mascot. All of a sudden you can assign it a role, a mental model in your head how to work with it, how to collaborate with it. And that adoption, right, just kind of sinks in almost naturally."Every AI worker needs a human manager. At Asymbl, every digital worker has a human manager responsible for coaching them week over week. This is not cosmetic structure - it is the accountability mechanism that keeps AI outputs aligned with business needs.Start with what you dread. The most practical advice Lauren offered for AI adoption: find the task that costs you the most energy and figure out how to offload parts of it first. Community beats mandates. An internal Slack channel where employees post what they have built drove more AI adoption at Asymbl than any structured program. Governance is a present problem, not a future one. Skills Lauren built got locked down. Her Claude-Slack integration went offline. She learned directly that over-reliance on AI systems carries real operational risk and that mitigation strategies need to exist before something breaks - because it will.

    13 Years at Salesforce, Now Running a 3-Person Marketing Team: What Lauren Esposito Found in the Gap

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Conversations with the marketers building the narratives, brands, and categories that shape technology adoption.