Sparq appoints Barry Newton as Chief Sales Officer

Sparq has appointed Barry Newton as chief sales officer, adding him to the company's executive leadership team.

Newton joins the Atlanta-based engineering firm from Unsupervised, where he served as executive vice president of strategic accounts and led AI-related growth efforts with large corporate clients. He previously held senior sales and revenue roles at Nexient and UST Global.

The appointment comes as companies selling AI-related services seek experienced commercial leaders who can turn technical work into spending commitments from large enterprises. It also reflects growing demand from corporate buyers for projects tied more closely to operations and measurable returns rather than experimental deployments.

At Sparq, Newton will lead the sales organisation, with a remit that includes helping enterprises move from isolated AI pilots to operational systems designed to improve business performance at scale.

Sales brief

Sparq describes itself as an AI-native engineering partner focused on operational systems across workflows, decision logic, data, tooling and product behaviour. It has teams across the US and Latin America and is positioning itself around work tied to margin, throughput, uptime and growth.

Newton has spent more than two decades in enterprise technology sales and account leadership. That experience is likely to be central to Sparq's push for larger clients as competition intensifies among consultancies, software providers and engineering firms seeking a bigger share of AI-related budgets.

At Unsupervised, he worked with Fortune 500 customers to move AI beyond experimentation and into day-to-day business processes. That focus mirrors a broader market shift as companies face pressure to show that AI spending can change decision-making and operations rather than remain confined to trials.

In a statement, Newton pointed to that change in buyer expectations.

"Over the last several years, I've seen a major shift in what organizations actually need from transformation partners. The companies creating real advantages with AI aren't the ones adding more tools or more complexity. They're redesigning how execution happens in the systems where margin is won or lost. That's what drew me to Sparq. This is a company built for AI-era execution, with the engineering talent, operational rigor and applied intelligence to help enterprises move beyond pilots and toward measurable business outcomes," said Newton.

Executive build-out

Newton's appointment follows further expansion of Sparq's executive leadership team, suggesting the company is still building out its senior ranks as it seeks to scale with rising demand for AI-related operational work.

The market for such services has grown crowded, with traditional consultancies, specialist AI vendors and software companies all competing to shape how businesses adopt AI. In that environment, sales leaders must persuade clients to focus less on standalone tools and more on the systems that drive routine execution, cost control and revenue generation.

Chief executive officer Ingrid Curtis said customers were rethinking what they wanted from external partners.

"Organisations no longer want armies of consultants managing complexity around AI initiatives. They want smaller, highly capable teams that can move fast, solve hard operational problems and deliver measurable outcomes. Barry understands that shift deeply. He brings a rare combination of enterprise experience, operational discipline and clarity around where AI creates real economic value," said Curtis.

Newton's arrival also highlights how companies in the AI services market are recruiting commercial executives with experience selling to large organisations, particularly those used to long buying cycles and close scrutiny of returns. As AI spending matures, the sales process is increasingly centred on integration into existing operations, governance and proof of financial impact rather than novelty alone.

For Sparq, the challenge now is to turn that positioning into sustained customer growth in a market where many suppliers are making similar promises. Newton will be responsible for shaping how the company presents that case to enterprise buyers and for expanding its sales efforts as clients demand clearer links between AI investment and business performance.