Fluency this week announced the appointment of Eric Picard as Senior Vice President of Product, adding a figure whose career stretches across some of the most consequential technical moments in the history of digital advertising - from the drafting of the first impression standard to the architecture of the first real-time bidding exchange.

The Burlington, Vermont-based company made the announcement on April 16, 2026. Picard joins from a sequence of senior product roles at Microsoft, Pandora, MediaMath and Yieldmo, and will now lead product strategy at a platform that describes itself as a Digital Advertising Operating System (DOAS) for agencies and brands managing paid media at scale.

A career built at the infrastructure layer

Picard's background sits squarely in the plumbing of programmatic advertising rather than in its surface-facing tools. According to the press release accompanying his appointment, he co-authored the first digital impression standard and was part of the team that architected the first RTB exchange - two foundational contributions that shaped how the industry measures and trades inventory to this day.

At Pandora, he served as VP of Product Management, overseeing advertising technology as the platform built what the company described as the world's largest digital audio ad marketplace. According to Fluency, revenue grew nearly 75% over the three years he held that role. The audio ad market was, at the time, largely untested at programmatic scale, making the growth rate notable in operational terms.

His MediaMath chapter is perhaps the most technically dense. Picard joined after the company acquired his startup, Rare Crowds. According to the press release, the technology Rare Crowds had built became the blueprint for MediaMath's Curated Marketplace - described as the first programmatic curation platform and the fastest-growing revenue segment within MediaMath for more than six years. Curation as a category has since attracted significant industry attention, with supply-path optimization debates reshaping how agencies think about inventory sourcing. PPC Land has covered how MediaMath's programmatic capabilities once shaped omnichannel buying.

After MediaMath, Picard moved to Yieldmo as Chief Product Officer. Under his leadership, according to Fluency's announcement, the company doubled the size of its ad exchange in two years. He has also served on the executive committee of the IAB TechLab Board of Directors, an organisation whose standards work - including the recent agentic advertising roadmap covered extensively by PPC Land - increasingly determines how automation layers are built across the ad tech stack.

What Fluency is and where it stands

Fluency positions itself differently from most ad tech vendors. Rather than operating as a DSP or an SSP, it functions as an operating layer above those platforms - consolidating campaign execution across search, social and programmatic channels into a single system. According to the company, the platform currently powers nearly $3 billion in annual media spend and manages more than 250,000 campaigns each month. Those figures are cited across the company's recent press materials.

The company was founded in 2017 by a team that had previously built an in-house advertising solution for Dealer.com, an automotive digital marketing business sold for $1.1 billion in 2014. That earlier experience dealing with operational fragmentation across hundreds of dealership locations shaped Fluency's approach to campaign management at scale. Fluency has been on the Inc 5000 list for three consecutive years, ranking at position 1,278 in 2025.

The $40 million Series A, announced on December 15, 2025, was funded by Integrity Growth Partners (IGP), a growth equity firm that specialises in founder-led, bootstrapped technology companies. According to Fluency's December announcement, IGP joined the board as a thought partner while Fluency continues operating under its founding team's leadership. The investment is being directed at two areas: enhancing automation and agentic AI capabilities, and accelerating integrations with publisher and technology partners.

"Our clients are accountable for delivering multichannel advertising, often across hundreds of brands and thousands of locations. It's impossible for humans alone to manage the level of complexity this requires, no less scale it efficiently," according to Mike Lane, CEO of Fluency, in the Series A announcement.

Picard's hiring is the first major product leadership appointment since that funding closed.

The agentic AI context

Picard joins at a moment when agentic advertising - systems where AI agents execute and optimise campaigns autonomously rather than simply surface recommendations - has shifted from a theoretical framing to an operational one across the industry. PPC Land has tracked this shift closely. Yahoo DSP embedded agentic AI capabilities on January 6, 2026, enabling advertisers to automate campaign setup, troubleshooting and optimisation through natural language. PubMatic launched AgenticOS on January 5, 2026, positioning it as infrastructure for autonomous campaign execution across premium digital environments. The Ad Context Protocol launched on October 15, 2025, with a coalition including Scope3, Yahoo and PubMatic proposing an open-source standard for AI agents to communicate across platforms and execute ad tasks without custom integration work per channel.

IAB Tech Lab has responded by extending existing standards rather than adopting new protocols. Its January 6, 2026 agentic roadmap aims to prevent ecosystem fragmentation by building on OpenRTB, AdCOM and VAST rather than layering competing frameworks on top of them. At the same time, the IAB Tech Lab Agentic RTB Framework entered public comment on November 13, 2025, defining how large language models and autonomous agents participate in real-time advertising transactions through containerised deployment.

Fluency's position within this landscape is distinct. It is not building a DSP or a supply-side infrastructure tool. Its system operates above the transactional layer - it relies on integrations with platforms like Google, Meta, Amazon, Microsoft, The Trade Desk and others, and uses that unified data surface to automate campaign execution decisions. The agentic vision Picard is stepping into involves AI agents taking over not just reporting and optimisation suggestions, but actual campaign execution - changing bids, adjusting budgets, modifying creative, and reacting to external business signals such as inventory levels, weather conditions or breaking news.

According to the press release, "Fluency's platform already automates complex campaign management and enables data-driven decisioning based on real-world triggers, from inventory levels and weather to breaking news and virtually any business signal or external event." The challenge Picard is now tasked with is converting that existing automation into a fully agentic system - one where the human role shifts from hands-on execution to directional oversight.

"We're at a turning point in advertising: the ecosystem has become too complex for agencies to scale with manual processes and fragmented tools," according to Picard in the announcement. "Fluency gives agencies a new operating model, where human strategists direct an unlimited number of agents to execute and optimize campaigns at a scale no manual team could match."

Why operational complexity is the pressure point

The framing around manual processes is not rhetorical. Fluency's 2025 Agency AdOps Benchmark Report, released September 18, 2025, surveyed more than 75 independent digital advertising agencies and in-house teams across the United States. The study found that agencies want account managers to handle an average of 64 clients, compared to a current average of 35 - an 83% increase in portfolio size. Teams were spending an average of 46 hours per month making campaign changes for individual clients, which amounts to more than 25% of their working time. Some 64% of ad strategists now manage campaigns across multiple channels rather than specialising in one platform, and 80% manage three or more platforms simultaneously.

Fluency partnered with TikTok on January 28, 2026 to automate automotive ad campaigns, enabling agencies to manage TikTok alongside Google, Meta, Amazon, Microsoft and The Trade Desk inside the same workflow. That integration is a concrete example of the problem Fluency's DOAS is designed to solve: each new platform adds operational load unless the execution layer is unified.

Picard himself has lived the complexity problem from the supply side. Building the ad exchange at Yieldmo, driving audio ad operations at Pandora, and developing curation infrastructure at MediaMath all required solving coordination problems across fragmented systems. That experience is presumably what Fluency's leadership is purchasing with the hire.

Co-founder moves to innovation role

Picard's arrival coincides with a structural change at the top of the company. Eric Mayhew, who co-founded Fluency and has served as President and Chief Product Officer, is transitioning to a new role as Chief Innovation Officer. In that capacity, Mayhew will lead Fluency Labs - described as a dedicated programme within the Fluency platform giving clients early access to experimental tools and emerging advertising technology.

According to the announcement, Fluency Labs will offer agencies and brands an early look at upcoming features, with structured opportunities to share feedback. Among the capabilities planned for early access are agentic automation tools that direct campaign execution and optimisation across platforms - helping advertisers build AI-driven workflows without expanding headcount.

"We're shifting AI's role from being part of software to actually operating it. That shift is changing how agencies get work done - automating execution through AI so teams can focus on higher-value work," according to Mayhew in the announcement.

The Chief Innovation Officer role gives Mayhew a forward-looking brief that is separate from day-to-day product execution. Fluency's structure now separates product delivery - under Picard - from product experimentation and client co-development - under Mayhew.

What this means for the marketing community

The significance of this hire for agencies and advertisers operates on two levels. The first is practical: Fluency's platform manages a large volume of real spend across a large number of campaigns, so decisions made at the product level have direct downstream effects on how agencies operate. A hire of this seniority signals where the product roadmap is heading, which matters for agencies evaluating multi-year platform commitments.

The second is contextual. Picard's presence in the space at foundational moments - impression standards, RTB infrastructure, programmatic curation - gives him a specific technical vantage point on what has and has not worked when the industry has tried to automate campaign execution before. Curation, for instance, has been one of the more contested developments in programmatic over the past few years, with ongoing debates about transparency, value distribution and whether it improves or degrades supply path quality. The fact that Picard was involved in building one of the earliest curation platforms adds texture to how Fluency might approach similar structural questions as it builds out its agentic layer.

The broader race toward agentic advertising infrastructure - involving IAB Tech Lab, Yahoo DSP, PubMatic, Scope3 and others - has been documented in detail by PPC Land. Agentic AI infrastructure dominated advertising coverage in early January 2026, with multiple platforms moving from testing to deployment of autonomous campaign systems. Fluency is operating in the same broad current, but from a different position: not as a supply-side infrastructure provider or a DSP, but as a campaign execution layer for agencies that already work across all of those systems.

Fluency is working toward a goal of managing at least 10% of the approximately $1 trillion spent globally on digital advertising each year, according to the December 2025 Series A announcement. Whether agentic automation can compress the operational costs that have historically limited agency scale - and whether Picard's background accelerates that - is the question the next phase of the company's development will answer.

Timeline

Summary

Who: Eric Picard, a product executive with nearly three decades of experience at Microsoft, Pandora, MediaMath and Yieldmo, appointed as Senior Vice President of Product at Fluency. Co-founder Eric Mayhew transitions to Chief Innovation Officer.

What: Fluency, a Digital Advertising Operating System managing nearly $3 billion in annual media spend and more than 250,000 monthly campaigns, hired Picard to lead product strategy as the company builds toward a fully agentic campaign execution system. The appointment coincides with the launch of Fluency Labs, an early access programme for experimental automation tools.

When: The announcement was made on April 16, 2026, following the close of a $40 million Series A on December 15, 2025.

Where: Fluency is headquartered in Burlington, Vermont. Picard's role is remote. The platform operates across major digital advertising channels including search, social and programmatic, serving agencies and brands in the United States.

Why: Fluency is advancing its agentic AI strategy - building systems where AI agents execute and optimise multichannel campaigns autonomously, with human strategists setting direction rather than managing individual campaign tasks. The company brought in Picard, who co-authored the first digital impression standard and helped architect the first RTB exchange, to lead product during what it describes as a structural shift in how agencies operate at scale.

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