Product Marketing Manager · vacancy
Here's what AI can do for this role — and what still needs a human. Built straight from ENSEK's own job advert, running live on my_db.ensek_demo.settlement_imbalance — 4,320 real rows via MotherDuck (DuckDB). Not a slide about AI. The job, getting done.
Every line on the left is lifted from ENSEK's actual job ad. If a card lacks a harvested JD line, it is omitted. On the right is the AI doing it — with eligible cards running live against the warehouse and offline inspection clearly labelled in the workspace.
“Own the go-to-market strategy for ENSEK Flex, defining target segments, buyer personas, competitive context, and a commercialisation roadmap aligned to product development.”
How do suppliers compare on complaints per 1,000 customers — where does ENSEK sit in the competitive landscape?
bar chart“Develop and steward differentiated positioning and messaging for the Flex platform and its component solutions, translating complex technical capabilities into commercially resonant value propositions.”
How do suppliers compare on customer service score — which suppliers lead on service quality?
bar chart“Maintain a live view of the market and competitive landscape, including energy flexibility platforms, aggregators, OEM-led propositions, and regulatory developments across ENSEK's current and future markets.”
What are the overall supplier ratings — how does the competitive set rank on the composite rating?
kpi“Enable Sales to sell Flex effectively by creating high-impact sales enablement, including discovery frameworks, battle cards, objection handling, ROI narratives, and competitive-positioning tools.”
What does the full competitive picture look like in a single view — complaints, service score and overall rating by supplier?
table“Apply AI tools thoughtfully to scale research, content creation, analysis, and testing, while retaining full ownership of judgement, quality, and output.”
What was the average settlement imbalance price by month — what market stress context frames the competitive conversation?
bar chartThe honest other half. AI does the analysis; a person owns the decision — especially where regulation, fairness and accountability bite.
A plain-English question — the same one the job ad describes — is translated to SQL by the agentic backend.
Curated cards run server-side against MotherDuck when eligible. The workspace separately labels any local inspection path.
Runs against my_db.ensek_demo.settlement_imbalance (4,320 rows declared by the manifest). No synthetic numbers.
Each figure carries a falsifier — recomputed from the result set, not a stored number, so it can't quietly drift.
It's the role getting done: curated questions run live server-side against the warehouse; local inspection is labelled inside the workspace.
Open the live workspace →Provenance. Live ENSEK market data: supplier_performance (33 rows, Citizens Advice-style metrics per supplier per quarter — complaints, service scores, ratings) and settlement_imbalance (4,320 rows, half-hourly GB market settlement). Schemas: my_db.ensek_demo.supplier_performance + my_db.ensek_demo.settlement_imbalance. Offline degrade uses the same slices in-browser.
It's Sorted — I took ENSEK's job ads and didn't write a report on what AI could do. I built it. Get the rest sorted →
I'm trained on this proof and the real ENSEK: the Ignition meter-to-cash platform (seven modules), the move under Centrica in 2024, 7M+ energy accounts migrated for suppliers like British Gas and Utility Warehouse, and the Ofgem framing. Ask me how the Data Analyst function changes shape, or which open roles map to which Ignition module.