Martech Engineer
About the job
- Hands-on production experience implementing tagging with both Google Tag Manager web and server-side containers, including writing or specifying data layers.
- Practical Google Analytics 4 configuration and debugging experience, including explaining discrepancies between reported numbers.
- Comfort working in a cloud console, including deploying containers, reading logs, setting alert policies, and diagnosing failed scheduled jobs; Google Cloud, AWS, or Azure experience is applicable.
- A methodical approach to diagnosing measurement discrepancies.
- SQL proficiency sufficient to interrogate raw event data.
- Clear written communication with non-technical stakeholders, particularly during incidents.
- A reliable, detail-oriented approach to maintaining incident logs and preventing operational issues.
- Maintain a managed estate of client services through monitoring, alert response, scaling, container and server updates, and backfills after failures.
- Implement tagging and measurement through data layer specifications, Google Tag Manager web and server-side containers, Google Analytics 4 configuration, conversion APIs, and consent management.
- Deploy server-side Google Tag Manager environments from established templates and patterns, and improve those templates.
- Diagnose and fix contained measurement faults, including duplicated or missing transactions, discrepancies between web and server implementations, page-location capture issues, and revenue mismatches.
- Quality-assure and validate tracking before launch and after platform changes.
- Keep documentation, alerting, and runbooks current.
- Communicate directly with client managers and clients about incidents, changes, and their implications.
- Escalate architectural problems to the Solutions Architect and distinguish them from implementation issues.
- Automate repetitive work so the managed estate can scale without proportional headcount growth.
- JavaScript or Python experience beyond configuration, sufficient to build a custom template or small cloud function.
- Infrastructure as code or continuous integration and continuous delivery experience, or other experience making deployments repeatable.
- Experience implementing conversion APIs and consent management in regulated or privacy-sensitive contexts.
- Experience running measurement across a portfolio of clients.
- Google Cloud certification or equivalent evidence of structured cloud knowledge.
About the company
Jellyfish is a global marketing performance company that helps brands grow in the digital world. It serves a diverse mix of clients—from established corporations to startups—across multiple industries. The company combines creative talent, strategic partnerships, and technology to deliver tailored marketing strategies that leverage data, media, and digital channels to boost brand performance. Jellyfish earns revenue through a mix of service fees, project-based engagements, and long-term partnerships. Its approach centers on data-driven decision making, cross-channel execution, and ongoing collaboration with clients and partners. The goal is to help brands thrive online by achieving measurable performance improvements across multi-platform campaigns.
Company Size
1,001-5,000
Company Stage
Acquired
Total Funding
$5M
Headquarters
London, United Kingdom
Founded
2005
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Simplify's Take
What believers are saying
- October 2026 research shows 290 competing brands per query, expanding demand for AI visibility tooling.
- Gentle Monster lifted ROAS 39% using Share of Model, proving measurable client value.
- Jellyfish’s UK&I leadership reset and global shopping capability rollouts signal active expansion in 2026.
What critics are saying
- Google, OpenAI, and Amazon can absorb Jellyfish’s optimization layer by 2027.
- AI assistants fragment buyer journeys, forcing costly platform-specific work with weak client retention.
- Brandtech dependence concentrates strategic power upstream; any parent-level slowdown hits Jellyfish immediately.
What makes Jellyfish unique
- Jellyfish’s Share of Model tracks and optimizes AI shopping visibility across assistants, not just search.
- October 2026 launches span Shopping Optimization and AI Ads Optimization across ChatGPT, Google, TikTok, Reddit.
- Stephanie Parry and Nick Emery are scaling integrated media, creative, and data leadership globally.
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Benefits
Health Insurance
Vision Insurance
Dental Insurance
Disability Insurance
Life Insurance
401(k) Retirement Plan
Flexible Work Hours
Remote Work Options
Parental Leave
Tuition Reimbursement
Performance Bonus
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 0%2 year growth
↑ 0%AI shopping assistants give brands wildly different results - Jellyfish. 01/10/2026 AI shopping assistants are creating very different competitive environments for brands, with the same product search producing vastly different recommendations, retailers and price ranges depending on the platform, according to new research from Jellyfish. AI shopping assistants study. The digital marketing agency, part of The Brandtech Group, analysed shopping recommendations across eight product categories in the US, UK, Australia and Singapore, examining how ChatGPT, Google AI Mode and Amazon's Alexa for Shopping select and recommend products. The findings reveal significant differences in the brands and retailers surfaced by each assistant, raising questions about how marketers should approach visibility as consumers increasingly turn to AI for shopping advice. Jellyfish has also launched Shopping Optimization, a new capability within its Share of Model platform, designed to help brands understand why AI assistants recommend particular products and how to improve their visibility. Different assistants, different shopping experiences One of the clearest findings is that there is no single AI shopping environment in which brands can compete. When asked to recommend men's suits in the UK, ChatGPT drew on 30 retailers, while Google's AI Mode considered just four. The differences extended across other categories. In US athletic wear, ChatGPT drew on 171 retailers compared with 126 for Google's AI Mode. Amazon's shopping assistant presented a different picture. When asked for toy recommendations, it featured products from 177 brands but sourced them almost entirely from Amazon itself. ChatGPT, by comparison, drew on 24 retailers and Google's AI Mode on 37. Across the eight categories studied, approximately 80% of the recommendations measured came from ChatGPT and 20% from Google's AI Mode, although the split varied considerably by category. In home appliances, the difference reached 97% versus 3%. Established brands face new competition The research also suggests that AI shopping could make it harder for established brands to dominate product recommendations. A single shopping query surfaced as many as 290 competing brands. In US fashion, recommendations featured 120 brands, but the most frequently recommended brand accounted for just 7% of the results. Traditional price positioning was similarly blurred. In one UK search for men's suits, AI recommendations ranged from £27 to £3,295. For gaming chairs in the US, prices stretched from $79 to $3,479. The findings suggest that premium and budget brands can appear alongside one another in the same AI-generated shortlist, potentially changing how consumers discover and compare products. Jellyfish launches Shopping Optimization To help marketers navigate these differences, Jellyfish has introduced Shopping Optimization within its Share of Model platform. Unlike conventional digital-shelf tools, which track product rankings on individual retail websites, the new capability examines recommendations at individual product, or SKU, level. It allows marketers to compare which products different AI assistants recommend, their ranking, pricing and ratings, and the retailers from which they can be purchased. Brands can also investigate why particular products are recommended or overlooked, identify opportunities to improve their visibility and track changes in recommendations over time. "Until now, marketers have had little visibility into why AI shopping systems favour one product over another," said Natasha Wallace, Chief Solutions Officer at Jellyfish. "Share of Model's Shopping Optimization gives brands a clear understanding of the factors driving AI recommendations, so they can focus their Optimization efforts and measure the business impact." John Dawson, Vice President, Strategy at Jellyfish, said the emergence of AI shopping assistants represents a fundamental change in how brands compete for consumers. "Brands have spent decades optimising products for search engines, marketplaces and retailer shelves. Agentic commerce changes that equation. "AI shopping assistants are becoming active participants in purchase decisions, creating a new decision-maker brands must optimise for. "Our own data shows the same product question can return a 30-retailer shortlist on one assistant and a closed, single-store answer on another - so 'winning AI' isn't one race, it's many, and most brands can't yet see the starting line." Shopping Optimization extends Jellyfish's Share of Model platform beyond tracking brand mentions in AI-generated responses to analysing the individual products consumers are shown. The new functionality is available globally and forms part of the agency's wider Generative Engine Marketing offering, alongside its Creator Intelligence and AI Ads Optimization capabilities.
Jellyfish hires Seun Odeneye as chief media officer. The role is a new one for the agency. by Shauna Lewis * Limited free articles a month * Free email bulletins Subscribe. * Unrestricted access to our most popular content including the School Reports, Power 100 and Best Places to Work * Essential round-ups such as Movers and Shakers, Pitch Update and the Question of the Week * Leading insights from Campaign's award-winning editors
Ashwin Singh promoted to Media Strategy Director at Jellyfish. Ashwin Singh has been promoted to Media Strategy Director at Jellyfish, recognizing his contributions to strategic media planning and client growth during a period of rapid transformation across the advertising industry. Singh announced the promotion on LinkedIn, reflecting on two years at Jellyfish and the evolving nature of media strategy. He highlighted major industry shifts, including increasing media fragmentation, changing privacy regulations, the rise of "creative as the new targeting," and the growing influence of large language models (LLMs) on the customer journey. Singh also shared how developing a strategic framework for mid-market brands helped clients achieve full-funnel growth on limited performance budgets, with the work earning recognition through a recent WARC case study. The promotion reflects the changing role of media strategy within modern marketing organizations. As audiences become more fragmented across digital platforms, connected TV, retail media and creator ecosystems, marketers are moving beyond traditional media planning to develop integrated strategies that combine creativity, data and technology. AI is also reshaping how campaigns are planned, optimized and measured, requiring strategists to balance automation with human insight. Digital marketing services Media Strategy Directors are increasingly expected to connect brand-building principles with performance marketing, ensuring businesses can deliver sustainable growth while adapting to evolving consumer behaviors. The growing availability of AI-powered planning tools and predictive analytics is enabling teams to make faster, more informed decisions, but strategic thinking remains essential for translating data into effective marketing outcomes. Singh's promotion also highlights the industry's continued investment in leadership development. As agencies help clients navigate privacy changes, AI adoption and omnichannel engagement, experienced strategy leaders are becoming central to delivering measurable business impact and long-term customer value. Jellyfish's recognition of internal talent reflects a broader trend across the marketing industry, where agencies are strengthening strategic leadership to help brands compete in an increasingly complex and technology-driven media landscape.
Jellyfish appoints Stephanie Parry as Managing Director, UK & Ireland. Parry to lead the next phase of growth and integration across media, creative and data in key marketGlobal digital marketing business Jellyfish, part of The Brandtech Group, has appointed Stephanie [...]. May 12, 2026 Parry to lead the next phase of growth and integration across media, creative and data in key market Global digital marketing business Jellyfish, part of The Brandtech Group, has appointed Stephanie Parry as Managing Director, placing a proven commercial and client leader at the helm of one of its most strategically important regions. Parry has been promoted from EVP, Client Management, where she led relationships across Jellyfish's global client portfolio, including Boots, Deckers, Apple and Workday. During her tenure, she has played a central role in scaling client partnerships, driving measurable business outcomes, and strengthening the company's integrated approach across media, creative and data. She brings more than two decades of international experience, including senior roles at Mindshare New York, where she served as Global Managing Director and Managing Partner on the BlackRock business, overseeing complex, multi-market operations and delivering transformation at scale. In her new role, Parry will be responsible for the performance and growth of the UK and Ireland business, with a focus on deepening client impact, advancing Jellyfish's AI-driven capabilities and accelerating collaboration across the wider Brandtech Group. She joins the UK leadership team under Brandtech UK CEO Lisa De Bonis. Stephanie Parry, Managing Director UK & Ireland, Jellyfish, said: "Jellyfish has built a powerful model at the intersection of talent, technology and creativity. The opportunity now is to scale that impact further. My focus will be on translating our integrated capabilities, from AI-driven media and creative to emerging areas like GEO, into tangible business outcomes for our partners and clients, while continuing to invest in the people and culture that make us unique, underpinned by a commitment to DEI." Nick Emery, Global CEO, Jellyfish, said: "Steph brings a rare combination of sharp commercial instinct and deep client understanding, and she's been a huge part of strengthening both our relationships and how we show up as a business. She knows what it takes to drive growth in a complex, global environment, and consistently creates teams people want to be part of." About The Digital Voice(TM) The Digital Voice(TM) is a B2B boutique Adtech PR agency with boundless energy for PR. The company loves to shout its partners' brand, vision and products from the rooftops, and is unashamedly energetic and fearless. As a leading amplification agency for the adtech industry, The Digital Voice(TM) delivers PR, thought leadership, awards, events, multimedia, podcasts, content and creative. Established in 2012 by adtech veteran, Founder and CEO, Julia Linehan, the team is 100% remote, with Julia backed by 32 exceptional journalists, press and content experts, creative designers, marketing and PR pros, social, multimedia and event management specialists who make up the team. Over the years, The Digital Voice(TM) has built up an enviable client roster, including companies such as Samsung Ads, Brave, Nectar360, impact.com, GumGum and Jellyfish.More information at: www.thedigitalvoice.co.uk
HOKA collaborated with media agency Jellyfish and production agency DE-YAN on the experience, which is an effort to connect with consumers in distinct, memorable ways.