At a Glance
- Tasks: Build AI-powered automations for marketing demand generation and enhance customer experiences.
- Company: Alto Software Group, a leading B2B SaaS company transforming UK housing transactions.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Other info: Join a diverse team focused on improving the home moving experience for everyone.
- Why this job: Make a real impact with AI in a dynamic environment that values innovation.
- Qualifications: Experience in LLM automation, Python, SQL, and marketing automation platforms.
The predicted salary is between 54000 - 66000 £ per year.
AI Engineer – Demand Generation (Contract)
6 months Outside IR35 Contract – Must work from the UK
Alto Software Group is a B2B SaaS company that powers more than half of all UK housing transactions each year. We create software solutions that connect businesses and consumers, delivering a one-stop shop for estate agents and home builders. Our goal is to drive efficiency, speed up transactions, reduce risk, and improve the end-customer experience. While we're not a start-up, we have a start-up mindset and want our people to operate with this mindset so that we can achieve our ambitions.
We are looking for a contract AI Engineer to build the AI-powered automations that drive demand generation at Alto Software Group. You'll work directly with the Head of AI Operations and Marketing to take a backlog of demand gen automation ideas from design through to production.
What You'll Do
- Build and maintain AI-enabled automation pipelines (n8n, Zapier/Make, direct LLM APIs) that power lead scoring, enrichment and MQL-to-SQL routing between HubSpot and Salesforce
- Design and implement RAG pipelines and vector database integrations that let AI generate and personalise campaign content, nurture sequences and ad copy at scale
- Build event-triggered automations on Mission Control that turn buyer intent signals into real-time marketing and sales actions
- Develop, test and version prompts for demand gen use cases, with evaluation loops to keep improving output quality
- Automate manual reporting workflows so marketing gets faster, more accurate visibility into pipeline generated, funnel conversion and campaign ROI
- Apply sound engineering standards — error handling, logging and monitoring — to every automation you put into production
- Document what you build and hand it over cleanly so marketing and RevOps can operate and extend it without you
What You Need to Be Successful
- Proven delivery of LLM-based automation in a production environment, not just prototypes
- Strong experience with automation platforms (Inngest)
- Proficiency in Python and SQL
- Experience building RAG pipelines and working with vector databases
- Hands-on experience with AWS Bedrock API’s and prompt engineering
- Experience automating marketing (HubSpot) and CRM (Salesforce) environments — direct demand generation experience strongly preferred
- Comfortable working with non-technical marketing and RevOps stakeholders to turn a vague brief into a shipped automation
There's always room to grow and learn with our roles — please don't be put off if you don't have all of these. It's more important that you're passionate about improving the home moving and owning experience for everyone.
Our Technology Stack
- Automation & Orchestration: Inngest
- AI / LLM: Claude, Cursor and AWS Bedrock
- Languages: Python, SQL
- MarTech & CRM: HubSpot, Salesforce, Thoughtspot
Why Join Alto?
This role gives you a live demand gen automation backlog, direct access to the Head of AI Operations, and the scope to decide how AI actually shows up in our go-to-market motion — not a sandbox project. It's a chance to build infrastructure that has a visible, measurable effect on pipeline, in a business where AI is treated as core operational infrastructure, not an experiment.
We want to make Alto Software Group more welcoming, fair and representative every day. We'll consider everyone who applies for this role in the same way, regardless of your ethnicity, colour, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, neurodiversity status, family or parental status, or how long you've spent unemployed.
AI Engineer (Contract) - Marketing Demand Generation employer: Alto
Palo Alto Networks is an exceptional employer that fosters a culture of innovation and collaboration, where every employee's voice is valued. With a strong commitment to employee growth through immersive training programs like FLIGHT, team members are equipped to tackle real-world challenges in cybersecurity. The remote nature of the Major Account Manager role allows for flexibility while still enabling impactful contributions to a mission-driven company dedicated to protecting our digital way of life.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer (Contract) - Marketing Demand Generation
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Alto before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Alto.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Alto.
We think you need these skills to ace AI Engineer (Contract) - Marketing Demand Generation
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Alto, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Alto, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Alto’s attention and show the tangible impact of your work.
How to prepare for a job interview at Alto
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Alto.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Alto.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Alto.
