Alteryx CMO Q&A: Standing Out in the AI Era

With AI capabilities continuing to grow, many established technology brands are facing the unique challenge of evolving their identity without losing existing audience trust. 

According to Michelle Huff, Chief Marketing Officer of Alteryx, brands looking to make this shift need to make sure they can demonstrate value and remain authentic – or else risk blending into the background of a highly competitive industry. 

Speaking exclusively with Marketing Chief, Michelle explores brand evolution, standing out in a crowded market and the ways the marketing function itself is changing. 

Please introduce yourself and your role 

I'm the Chief Marketing Officer of AI-ready data and analytics company Alteryx. I joined Alteryx in June 2025, having spent much of my career building marketing engines for companies to navigate periods of growth and transformation.

My background spans roles at Oracle, Salesforce, UserTesting, and Act-On. 

Along the way, I've worked across product marketing, product management, technical marketing and broader marketing leadership roles, so I’ve enjoyed a front-row seat to several major technology shifts.

I was drawn to my current role by the opportunity to return to my roots in data and analytics at an inflection point for AI adoption and transformation. 

Organisations can clearly see what's possible with AI, but many are still working through how to turn that potential into practical business outcomes. 

Alteryx has a crucial message to help organisations through this current moment, and I’m enjoying every minute of taking that message to market.

What challenges have you seen when repositioning an established technology brand for the AI era?

I've spent a lot of my career leading marketing for companies navigating moments of transition, whether that's a new growth phase, a merger or a broader repositioning effort. 

One thing I've learned along the way is that repositioning can't start with what you want to say. It has to start with listening.

With AI, every technology company is asking itself similar questions. Where do we fit? How do we talk about it? 

How do we demonstrate value? The challenge is making sure the answers are rooted in authenticity. 

That’s the way to stand out amid the vast AI-related noise that technology buyers and users are experiencing today. 

There’s a hypersensitivity to marketing language dressed up as innovation. That's why I think the real work is in clarifying the story. Who are you trying to help? What problem are you solving? And why does that matter now?

For established brands, there's an added layer because you also need to respect what made the company successful in the first place. 

The goal is to evolve the story in a way that builds on that foundation while helping people understand where you're headed next.

With so many AI companies competing for attention, how does Alteryx stand out in a crowded market?

For more than 25 years, we've been helping customers put messy, complex data to work by automating the logic and calculations behind dashboards, reports and everyday business processes. That heritage is a real strength and differentiator. 

Today, our 760,000 analyst community is already widely recognised for driving operational excellence and turning data into outcomes for the business.

While many view AI rollout as fundamentally a data problem, the real bottleneck today is business context, specifically, who owns and maintains the logic behind automations and AI. 

From revenue rules and pricing definitions to complex supply chain decisions, business logic is constantly changing. When these processes can't keep up, teams often revert to spreadsheets and manual workarounds. 

Alteryx bridges that gap by enabling business teams to own and evolve their logic (without code), while remaining secure, governed and aligned with IT data platforms. 

We don’t just offer tools; we provide the governance and the bridge that connects raw data to trusted, audited business outcomes.

Customers are increasingly looking beyond the headlines and asking, “How do I actually do this?” They want to see real-world impact. 

For instance, we've seen organisations like a global investment leader connect enterprise AI to their Alteryx environment, empowering their finance teams to solve complex problems faster and save 13,000 hours annually. 

It's exciting to offer solutions that turn this potential into meaningful progress, helping organisations implement analytics and AI into their everyday operations with trust and clarity.

When adapting messaging to resonate with different markets and regions, how do you approach building a consistent brand narrative?

The core narrative should be consistent because that comes from who you are as a company, your vision and the value you deliver. But how that story comes to life should reflect the audience you're trying to reach.

Everyone is on a different AI and automation journey, so it's about putting solutions in the context of a maturity model and meeting customers where they are at. 

Typical organisations are at different stages in their AI adoption journeys depending on where they’re based, with different priorities, pressures and unique ways of framing similar challenges. 

That's why keeping marketing close to each region we operate in is crucial.

One of the key lessons I took from my time at Salesforce was that messaging should never be treated as a one-time exercise. 

The most effective approach is to continuously test and refine it by putting ideas into the market, gathering feedback, speaking with customers, working closely with sales teams and evolving the message based on what you learn.

The goal isn't to create a different story for every region. It's to make sure the story you're telling is relevant to the people you're speaking to while remaining true to the broader vision and strategy of the company.

What are the ways you see AI reshaping marketing roles?

Marketing has always involved a mix of creativity, analysis and execution, but there are also a lot of manual processes behind the scenes. 

Research, content creation, campaign planning, reporting and operational workflows have all demanded significant effort historically, and AI is helping accelerate many of those workstreams. 

The debate shouldn't be 'Human vs. AI.' It’s about 'Human + AI.' My focus is on automating the grunt work – the manual data cleaning, the reporting, the basic content generation so we can automate judgement, not just tasks. 

AI creates the space for marketers to do what machines can't: apply empathy, strategic context and creative judgement to business problems. 

The marketers who thrive will be the ones who move from executing tasks to orchestrating AI to deliver outcomes.

I often think about marketing along three lines: understanding the market, executing programmes and measuring performance. 

AI can support all three. It can help marketers process large amounts of information more quickly, streamline repetitive tasks and surface insights that might otherwise be missed.

At the same time, AI doesn’t remove the need for expertise or judgement. If anything, those become more important. 

The marketers who thrive will be the ones who combine curiosity, strategic thinking and a willingness to experiment to factor AI into their work in smart ways. 

AI can help you move faster, but it still takes people to decide where to go and why.

How do you see the marketing function adapting to AI?

We're moving past the stage where AI is simply something marketers experiment with on the side. Increasingly, marketing functions are incorporating it into team-wide workflows and getting serious about the ways it can improve how teams operate.

Looking ahead, AI will become embedded across every stage of the marketing lifecycle, from planning and content development to campaign execution, measurement and optimisation. 

The biggest opportunity won't just be automating individual tasks. It will be helping teams work more efficiently, make better decisions and act on customer feedback loops with greater speed and relevance.

More broadly, I think marketing teams need to become comfortable with continuous learning. 

We're still in the early stages of understanding what's possible, and the technology is evolving extremely quickly.

My advice is simple. Think adoption curve, not light switch. AI isn't something you turn on; it’s an evolution in how your team operates. 

You need to segment your approach, planning differently for your early adopters, your mainstream and your laggards. 

Successful AI transformation is 20% technology and 80% change management. It’s about creating an 'AI-forward' team that is comfortable with continuous learning and understands that the goal isn't the perfect playbook; it's the speed of the feedback loop.

Who are Alteryx’s key partners?

PwC: PwC is one of Alteryx’s key strategic partners – with the professional services firm using Alteryx to drive value to clients globally. According to Alteryx, PwC uses Alteryx-based solutions to help drive business outcomes in less time and with less effort.

Snowflake: The Snowflake-Alteryx partnership allows enterprise users to execute automated data preparation directly within the Data Cloud. By combining in-database processing with low-code analytics, organisations quickly extract value from massive datasets.

Amazon Web Services (AWS): Accelerating cloud analytics at scale, AWS offers a powerful cloud infrastructure foundation for Alteryx enterprise deployments. The partnership between the two companies connects self-service, no-code analytics automation directly with cloud-scale data storage and warehousing like Amazon S3 and Amazon Redshift.

Accenture: he Accenture and Alteryx partnership focuses on driving enterprise data automation, cloud analytics and AI-powered business transformations. The alliance helps multinational organisations solve complex operational challenges, optimise supply chain logistics and cultivate a robust data-driven workforce culture that accelerates sustainable long-term financial performance and business growth.