--- title: 'Senior Manager, Field Engineering at Matillion' canonical: 'https://feeny.ai/job/senior-manager-field-engineering-matillion-manchester-jz280jywtymp' type: 'job' last_seen: '2026-09-11' --- # Senior Manager, Field Engineering at Matillion - **Company:** Matillion - **Location:** Manchester, United Kingdom - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-08-12 - **Last confirmed live:** 2026-09-11 - **Apply:** https://jobs.lever.co/matillion/4675d07d-d7c2-4eb7-b661-674e1a2fac3d ## Job description Are you ready to shape the future of data? Matillion is the company behind Maia, the AI Data Automation platform. In the AI economy, demand for data is exploding. Manual data engineering can’t keep up. Maia fixes that by combining 15 years of data expertise with agentic AI to eliminate the manual work that slows data teams down. Organisations like Cisco, DocuSign, and Slack are already using it to deliver real business impact, faster. We started in Manchester and now we’re global - with teams across the UK, US and India. We are driven, curious, energetic people who move fast, think big and hold ourselves to a high standard. We’re here to make a dent in the universe bigger than ourselves. And we’re looking for people who want to be part of it. We are seeking a proactive, strategic, and high-impact Senior Manager, Solution Architecture to lead our International Solution Architecture team. In this role, you will lead a high-performing Solution Architect team covering EMEA, Middle East, and Africa. As a front-line leader, you will lead from the front, take ownership of strategic GTM initiatives, and complex technical challenges. This is a greenfield-heavy environment where initiative and business operationalisation are paramount, offering clear career progression toward Senior Director leadership roles. What you will be doing: - Leading, mentoring, and developing a team of senior Solution Architects across EMEA, Middle East, and Africa to maximize revenue generation, customer success, and technical execution. - Serving as an executive technical sponsor on high-value deals by joining customer meetings, strategy sessions, and architectural deep dives alongside your team. - Managing team operational cadences, including conducting structured 1:1s, building individual professional development plans, and tracking team performance metrics. - Driving strategic Go-To-Market (GTM) initiatives and business operationalization to expand our global footprint and deliver measurable revenue growth over the next 6–12 months. - Developing partner strategies in collaboration with regional ecosystems to align technical architectures and scale business impact across international markets. - Aligning cross-functionally with key international leaders to unify pre-sales technical strategies with overarching business goals. What we are looking for: Required Experience & Leadership - 10+ years of total experience in technical enterprise roles (Solution Architecture, Sales Engineering, Professional Services) with at least 5+ years managing, leading, or scaling pre-sales technical teams. - Proven track record in enterprise solution selling, with a history of leading complex, multi-stakeholder technical sales cycles and driving multi-million-dollar ARR targets. - Demonstrated experience institutionalising sales methodologies such as MEDDPICC, Command of the Message, or similar value-driven sales frameworks across a team. - Deep expertise across cloud computing platforms (AWS, Azure, GCP) and enterprise Cloud Data Platforms (Snowflake, Databricks). - Deep domain knowledge in relational databases (PostgreSQL, MySQL, Oracle, SQL Server) and NoSQL environments (MongoDB, Cassandra, DynamoDB). - Hands-on command of integration architecture, including APIs, Linux environments, SQL, and data pipeline technologies. - Active experience leading/deploying AI initiatives, specifically enterprise adoption of Generative and Agentic AI workflows (e.g., Claude, ChatGPT, Cursor, n8n). ## Preferred / Desirable Qualifications - Expertise in Data Productivity & ETL/ELT: Direct knowledge of Matillion’s Data Productivity Cloud / Matillion ETL, or primary competitive data integration platforms. - Big Data & Analytics Ecosystems: Experience with Spark/PySpark, modern Data Lakes/Lakehouses, and MPP database architectures (Teradata, Vertica, Netezza). - Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related STEM field (or equivalent practical experience). At Matillion, we are committed to providing compensation in line with market standards based on the role, job family, job level, and country. This role’s estimated annual salary range including OTE is £141,300 - £211,900 on a 70% base / 30% OTE split. The final salary will be based on your relevant skills, experience, and qualifications demonstrated in the hiring process. More about Matillion We operate a flexible working culture that promotes work-life balance, with benefits including: Company Equity 30 days holiday + bank holiday 5 days paid volunteering leave Private Health Insurance Life Insurance Pension Access to mental health support ## Your Safety Matillion recruiters will only contact you from @matillion.com email addresses. We occasionally work with trusted recruiting partners; they will always tell you they are working on our behalf. We will never ask for money, fees, or bank details at any point in the hiring process. If something feels off, trust that instinct. Don't click any links. Go straight to matillion.com/careers to verify open roles or reach us at talent@matillion.com. Want to know more? Don't tick every box? Apply anyway. We hire for potential, not just experience. A member of our Talent Acquisition team will be in touch. Cannot find anything suitable role right now? We still want to hear from you. Drop us a line at talent@matillion.com. Find out more about life on #TeamGreen here. Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law. ## About Matillion ## Company Overview - **One-liner**: Matillion is the intelligent data integration platform that empowers data teams to build and manage pipelines faster for AI and analytics - at scale. - **Entity Type**: Private (Unicorn; Series E funding at $1.5 billion valuation) - **Headquarters**: Manchester, England (dual headquarters in Denver, Colorado, USA; additional office in Hyderabad, India) - **Founded**: 2011 - **Founders**: Matthew Scullion and Ed Thompson ## Core Business - **Primary industry**: Data integration, cloud data warehousing, AI data automation - **Target customers**: B2B enterprise – data teams at large organizations (customers include Cisco, DocuSign, Slack, St. James Place, TUI) - **Mission/purpose**: Remove data friction, 100x productivity, and open up data integration to the entire business, with AI and for AI ## Products & Services - **Data Productivity Cloud**: Cloud-native platform for extracting, loading, and transforming data from a wide range of sources into cloud data warehouses (AWS, Snowflake, etc.) - **Maia**: The world’s first agentic AI for data teams – autonomously creates, manages, and evolves data products for humans and AI - **Change Data Capture (CDC) & Data Replication**: Real-time data ingestion and synchronization capabilities ## Market Standing - **Valuation**: $1.5 billion (Series E funding round) - **Key Metric**: Total funding amount not publicly disclosed in provided sources; annual revenue not publicly available (private company) - **Notable Investors/Partners**: Not publicly listed in provided sources (some typical enterprise backers implied by unicorn status) - **Growth Signals**: Product expansion with AI-native Maia; headcount of 573 employees (Built In, 2026); global presence with offices in UK, US, and India; trusted by thousands of enterprises including Fortune 500 names ## Competitive Advantages - First-mover in cloud-native data transformation with a decade of experience (pioneered cloud ETL) - Agentic AI platform (Maia) that redefines manual data work – an early mover in the AI data automation space - Strong enterprise trust and brand recognition with marquee customers - Integrated suite covering loading, transformation, CDC, and orchestration in one cloud-based platform ## Strategic Focus - Accelerate AI adoption in data teams by productizing Maia and embedding AI throughout the platform - Expand data replication and real-time integration capabilities (CDC) - Scale globally (dual HQ model) and continue hiring across engineering, sales, and operations - Maintain culture of “mission first, no ego” while growing headcount ## Why Work Here - **Culture**: Driven, curious, low-ego environment focused on a bold mission. Six core values guide decisions and behavior. - **Work model**: Hybrid – flexible combination of remote and on-site work. Offices in Manchester (HQ), Denver, and Hyderabad. Employees expected to be on-site periodically. - **Perks & benefits**: - Equity options for all employees - Global healthcare (including life insurance), subsidized for dependents - Enhanced vacation leave plus 5 paid volunteering days per year - Sabbatical leave (8 weeks after 5 years) - Commitment to gender pay equity (UK Gender Pay Gap report published) - **Hiring process**: Transparent use of AI – AI assists with skill mapping, note-taking, and assessment frameworks, but all final hiring decisions are made by humans. AI fluency is valued and assessed for roles. ## Sources 1. [matillion.com](https://www.matillion.com/) 2. [matillion.com/about](https://www.matillion.com/about) 3. [matillion.com/careers](https://www.matillion.com/careers) 4. [jobs.lever.co/matillion](https://jobs.lever.co/matillion) 5. 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