Data Analyst

• Embed within a squad: Work as a core member of a cross-functional team, shaping roadmap decisions with data-driven insight.
• Own domain metrics: Define, maintain, and evolve clear success metrics for your squad, ensuring alignment with company-wide KPIs.
• Deliver actionable insights: Conduct deep-dive analyses that inform product improvements, commercial strategy, and customer outcomes.
• Build and maintain dashboards: Create clear, reliable reporting and self-serve tools that empower stakeholders to make confident decisions.
• Influence experimentation and measurement: Support experiment design, feature impact analysis, and performance tracking to drive continuous improvement.
• Collaborate with data & engineering: Partner with analytics engineers and data engineers to ensure high-quality, well-modelled data foundations.
• Raise the bar: Contribute to analytics best practices, documentation, and knowledge-sharing across squads.

Staff Data Analyst

QA Engineer

• Build and grow a high-performing QA team: Lead hiring, onboarding, performance management, and career progression for a centralised QA team. Foster a culture of ownership, quality, continuous improvement, and professional growth across both automation and manual testers.
• Own QA delivery and prioritisation: Manage intake and prioritisation across multiple business units, balancing competing demands while maintaining clarity and predictability. Ensure QA work is aligned to business priorities and delivered with high standards and strong communication.
• Strengthen quality practices and automation strategy: Partner with Engineering teams to improve automation coverage, regression reliability, and overall release confidence. Support the maintenance and evolution of QA environments, tooling, and best practices without being hands-on day to day.
• Act as a strong cross-functional partner: Build trusted relationships with Engineering, Product, Design, and Operations. Serve as the bridge between QA and the wider business, ensuring expectations are clear, trade-offs are understood, and stakeholders are kept informed.
• Provide technical credibility and guidance: Leverage your background in QA and engineering to guide standards, review approaches, and support your team in solving complex testing challenges — particularly across backend systems and distributed architectures.
• Champion a remote-native culture: Lead with empathy and intention in a fully remote environment. Create alignment, clarity, and accountability in an async-first culture while maintaining strong team connection and morale.

QA Engineering Manager

Full-stack Engineer

• Set Technical Direction: Define and evolve the architecture across our acquisition and success platforms, ensuring scalability, resilience, and clarity of ownership across teams.
• Drive Multi-Team Initiatives: Lead complex, cross-functional engineering efforts that span teams and systems — aligning stakeholders, reducing ambiguity, and delivering high-leverage outcomes.
• Build & Ship: Remain deeply hands-on — designing, coding, and reviewing critical components across back-end systems, APIs, infrastructure, and front-end applications.
• Strengthen Foundations: Improve platform reliability, developer experience, observability, testing strategy, and deployment practices to enable faster, safer shipping across the organisation.
• Accelerate Product Innovation: Partner closely with Product and Design to translate ambiguous problem spaces into scalable technical solutions, balancing speed with long-term quality.
• Multiply Impact: Mentor Staff and Senior Engineers, raise engineering standards, and act as a trusted technical advisor to leadership.
• Plan for Scale: Anticipate bottlenecks before they emerge — proactively designing systems, processes, and data flows that support rapid company growth.

Senior Full Stack Engineer

Content Marketing Manager

• Produce high-quality content across formats: written pieces, social posts, short-form video, email content, and educational assets that earn attention through strong hooks, clear structure, and tangible value.
• Design content for readability and engagement with scannable layouts, logical flow, and purposeful pacing that people actually finish and remember.
• Translate complex energy market concepts into simple, credible explanations without oversimplifying, especially for brokers and partners.
• Use AI tools for first drafts, research, restructuring, and repurposing, applying judgement and editing to ensure output meets tem's quality and tone standards.
• Maintain a steady publishing rhythm with personal accountability for delivery, focusing on depth over noise.
• Create clear, credible content that helps brokers understand and explain tem, turning product updates into simple, usable explanations.
• Adapt content for different contexts without diluting its core idea or clarity.
• Pay close attention to how content is received (what gets read, shared, referenced, or ignored) and adjust tone, format, and structure based on real engagement signals.
• Learn by shipping and refining rather than over-planning, keeping notes on what works for your own practice.
• Work closely with Product Marketing when translating technical changes into plain language.

Senior Content Specialist

Artificial Intelligence

• Identify and validate 10x opportunities through rapid experimentation
• Run continuous full-funnel experiments across paid acquisition, organic growth, conversion optimisation, partner referral loops, and product activation.
• Use data to identify bottlenecks, conversion leaks, and high-leverage intervention points.
• Test and deploy AI-powered approaches to content production, audience targeting, personalisation, and campaign optimisation.
• Prove what works through data, then systematise it into repeatable workflows.
• Maintain experiment backlog prioritised by potential impact, learning value, and speed to results.
• Accelerate AI adoption to multiply team output
• Build AI-powered workflows that scale team capabilities: content generation, research automation, audience segmentation, creative testing, landing page optimisation.
• Train and enable marketing, sales, and partnerships teams on AI tools and workflows that multiply their individual output.
• Demonstrate measurable efficiency gains from AI usage (5-10x output increases, time saved, cost per acquisition reduction).
• Experiment with emerging AI tools and techniques, documenting what works and rolling out across teams.
• Build automated growth systems across the full funnel
• Design and ship no-code workflows using Clay, Make, Zapier, HubSpot that automate repetitive work across paid, organic, partner, and product-led growth.
• Build lead routing, enrichment, scoring, and nurture automation that accelerates conversion without manual intervention.
• Create self-serve enablement systems (partner portals, content libraries, ROI calculators) that reduce bespoke work requests.
• Implement attribution tracking and analytics dashboards that connect activity to revenue outcomes.
• Maintain reliability of growth infrastructure, troubleshooting and fixing when systems break.
• Multiply throughput across marketing, sales, and product
• Act as utility player across teams, identifying where automation or AI can remove bottlenecks.
• Build reusable templates, workflows, and playbooks that increase velocity for Content, ABM, Product Marketing, Community, Partnerships, and Sales.
• Reduce time-to-launch for campaigns and enablement through systematised workflows.
• Ensure higher utilisation of existing assets through better systems and distribution.
• Drive conversion efficiency and throughput across existing demand
• Optimise conversion rates across website, forms, email nurture, demo booking, and sales handoffs.
• Improve broker enablement and activation workflows to support growth targets.
• Enable enterprise scaling without proportional increase in marketing or sales effort through automation and better systems.
• Reduce friction in high-intent prospect journeys through data-driven optimisation.

AI First Growth Specialist

Sales

• Grow and lead the Origination function by setting clear priorities, operating cadence, and quality standards so the team delivers consistently as tem scales.
• Own two parallel origination motions: business customers and generator customers, with clear ownership, playbooks, and review cadence for each.
• Enable multi-market expansion, with a near-term focus on the US, by institutionalising playbooks, deal reviews, contracting pathways and approvals so higher-stakes enterprise negotiations are predictable, compliant, and auditable end-to-end.
• Calibrate pipeline, forecasting and coaching separately for business-customer origination and generator-customer origination to maximise quality and velocity.
• Build a high-performing, innovative and opportunistic, hands-on team. Hire, develop and performance-coach enterprise sellers and originators, raising the hiring bar and progression clarity.
• Design and run cross-team interfaces so partner-channel, buy side, sell side, and direct motions run predictably: clear ownership, clean handoffs, escalation paths, SLAs and feedback loops the team uses day to day.
• Stand up a signal-to-action machine (not the fixes themselves): capture, synthesise and prioritise commercial signal; assign to Product, Data, Ops or Sales; close the loop so learning compounds.
• Partner closely with Customer Success to ensure enterprise handoffs and in-life management enable renewals and expansion without relying on individual heroics.
• Uplevel the bench by adding senior individual contributors where needed (for example E2 originators) to raise close quality for larger deals while maintaining velocity on base-load and SMB direct.
• Make progress visible through lightweight dashboards, documentation and recurring review loops that improve decision quality and throughput.

Head of Enterprise Sales

Analytics Engineer

• Advance the analytics layer end-to-end: Design, build, and maintain core dbt models that represent the business (e.g. customers, revenue, marketing performance, operations) and keep them production-ready. The means creating the source of truth for the business to operate on.
• Define and evolve company metrics: Partner with stakeholders to create clear, consistent metric definitions, and implement them in Omni so teams can self-serve with confidence.
• Lead cross-domain initiatives: Deliver high-impact analytics engineering projects that span multiple domains and teams—driving alignment, sequencing work, and shipping outcomes.
• Make pragmatic modelling trade-offs: Balance speed, accuracy, and long-term maintainability; set patterns that scale as the company grows.
• Raise data quality and trust: Introduce and maintain standards using dbt tests, CI/CD, documentation, and lightweight governance; catch issues early and reduce regressions.
• Partner upstream to fix root causes: Work closely with Data Engineering to diagnose data issues, improve source/warehouse design, and keep the warehouse performant and reliable.

Staff Analytics Engineer

Operations

• Own joiner/mover/leaver workflows, RBAC, approvals/SLAs, and audit trails across all key systems; maintain Google Workspace architecture (org units/policies) as we expand internationally.
• Procure, configure, track, refresh, retrieve, and securely dispose of hardware; run global logistics and ensure MDM/security baselines are enforced.
• Build and maintain HRIS→IT integrations and request workflows (access, hardware, resets), plus lightweight documentation/KB to reduce interruptions.
• Operate corporate IT controls using Vanta and JumpCloud (device compliance, access logging, evidence), support vendor/security reviews, and keep policies/documentation audit-ready.
• Track core IT metrics (onboarding time, SLA performance, device compliance, inventory/spend) and continuously improve reliability and speed.

Lead IT Ops Manager

Communications

• Deliver tem’s company-level narrative: clarify what we stand for, how we explain it, and how it shows up consistently across leadership, media, policy, and commercial moments.
• Act as the strategic communications partner to the Chief Growth Officer: turn complex, cross-functional input into clear recommendations and decisions.
• Lead major corporate communications moments such as annual reporting, category narratives, regulatory developments, and high-impact stakeholder announcements.
• Triage and steer public affairs topics with PR and government partners, ensuring the right posture, priorities, and follow-through.
• Build comms readiness across the organisation: message frameworks, spokesperson alignment, and light-touch issue preparedness so tem is confident and coherent under scrutiny.
• Design simple operating systems for strategic comms: clear ownership, review loops, and escalation paths so quality is repeatable and fast.

Strategic Communications Lead

Chief of Staff

• Represent tem in regulatory meetings, including with Ofgem, advocating for our mission and capturing emerging regulatory trends that could impact product and strategy.
• Own and deepen investor relationships, including pitching, answering performance and product questions, and maintaining momentum across the investor funnel.
• Build fundraising materials with the CEO, shaping the structure and storytelling of decks, and supporting the fundraise process from preparation through negotiation.
• Drive alignment on high-leverage decisions across Product, Commercial, Ops, and Data by clarifying the problem, surfacing trade-offs, and pushing to a decision.
• Act as an early warning system on business performance, reading P&L and engine performance, flagging risks and areas of concern, and helping shape the next action.
• Support legal and contractual work at a practical level, helping triage, prioritise, and manage contract and risk work with internal and external legal partners.
• Run the founder narrative engine: draft and ship external posts, thought leadership, speeches, and internal announcements that strengthen founder brand and company clarity.