Digital Marketing & Commercial Analytics Manager Job Type: Permanent, Full Time (35 hours per week) Location: Hybrid - 2 days working from Head Office in Wembley Park; 3 days working from home About The Role We are looking for an experienced Digital Marketing & Commercial Analytics Manager to lead and develop our analytics strategy and capability across our Marketing & Digital team. You will turn data from our digital channels, D2C business, CRM and new- business projects into clear, actionable insights and recommendations that shape how we trade, market and grow. As our digital, D2C and CRM activity continues to develop, we are looking strengthen our in- house analytics capability and build stronger foundations for how we use data and insight. This is a newly created role, designed to bring a consistent, evidence-based approach to decision-making across four workstreams: Digital Analysis, D2C Optimisation, New Business Analysis, and B2B & CRM strategy. The role will also work closely with our external agency partners, helping us use their expertise effectively while developing greater analytics capability within the team. This is primarily a strategic role, with responsibility for shaping and leading our analytics approach and translating insight into clear actionable recommendations. You’ll also be willing to work hands-on with the data where needed, particularly while we build stronger analytical foundations across the team. Strong people and relationship building skills will be key as you’ll manage and develop the Senior CRM executive and work closely with our HQ teams, You will report to the Head of Digital & D2C Marketing and work closely with colleagues in marketing, trading, CRM, sales and senior leadership to help build a more proactive, insight- led approach to decision-making. Key Responsibilities Digital Analysis

• Build, develop and own performance reporting across paid, owned and earned digital channels.

• Build a single source of truth for campaign effectiveness, replacing fragmented, inconsistent reporting.

• Run funnel diagnostics to identify drop-off points and growth opportunities across the customer journey.

• Turn platform data into prioritised recommendations, and agree a test-and-learn plan with channel owners.

D2C Optimisation

• Develop, improve and own conversion rate, average order value (AOV) and retention analytics for our direct-to-consumer business.

• Provide insight to the Trading and Acquisition/Retention teams to inform strategy promotion and lifecycle decisions.

• Use data and insight to identify friction across the D2C purchase journey and help prioritise fixes with UX and CRO colleagues.

• Develop and maintain recurring performance dashboards for senior stakeholders. B2B & CRM Strategy

• Own and develop CRM analysis and strategy, working closely with the CRM team on data quality, segmentation and campaign performance.

• Support our B2B and education growth agenda with the insight and analysis needed to size and prioritise opportunities across our portfolio.

• Connect CRM performance to wider commercial and B2B outcomes through clear, regular insight and reporting.

New-Business Analysis

• Provide analytical support to our proof-of-concept process for new products and opportunities

• Support the assessment of new opportunities as they enter the triage pipeline; providing objective, data-backed recommendations

• Present pilot results and recommendations to senior leadership to support clear embed-or-stop decisions

Leadership & Collaboration

• Act as the analytics subject matter expert in Marketing & Digital leadership discussions, providing clear, evidence-based recommendations and constructive challenge.

• Coach and support colleagues who currently run their own reporting, helping to build analytical confidence and capability across the team

• Set analytical standards and methods to improve consistency and quality across the different workstreams

• Line manages, coach and develop the Senior CRM Executive, providing clear direction, support and opportunities for development.

• Build strong working relationships with Tokyo HQ teams, acting as a key liaison on analytics and data requirements and connecting global capability with local business needs.

• Work collaboratively with the Head of Digital & D2C, Head of Marketing, Head of Sales Divisions, content and brand leads and finance and other key stakeholders across the business.

Requirements Essential

• Substantial, proven experience in marketing analytics, insight or CRM strategy role(s), ideally across both D2C and B2B

• Track record of building or scaling analytics capability within a marketing or

commercial team • Previous people management experience with the ability to coach, support and

develop others. • Strong communication and relationship building skills, with the ability to work

collaboratively across internal teams, senior stakeholders and Tokyo HQ. • Strong SQL and data-querying skills, plus experience with a CRM platform such as

Salesforce, HubSpot or Dynamics • Experience with digital analytics and BI tools such as GA4, Looker, Power BI or

Tableau • Commercial mindset: you connect data to business outcomes rather than just

reporting numbers • Confident presenting clear, evidence-based recommendations to senior stakeholders

and influencing without formal authority • Strong understanding of data governance, tracking standards and data quality

management across digital analytics platforms. • Structured approach to measurement and experimentation design • Comfortable working autonomously in a newly created role with evolving scope,

taking a strategic approach while remaining willing to work hands-on when needed. Desirable

• Experience using AI-powered analytics, reporting and automation tools to improve insight generation and operational efficiency.

• Ability to identify emerging analytics, AI and measurement technologies and assess their potential business value.

• Background in consumer electronics, education or institutional B2B sales Benefits

• 25 days annual leave plus Bank Holidays • Paid Birthday Day Off • Competitive Salary & Bonus Scheme • Fantastic Healthcare Benefits available from Day One: Private Medical Insurance via

BUPA, Permanent Health Insurance, Medicash Health Plan • Excellent non-contributory Pension Scheme, up to 14%** • Employee Discount, up to 50%** • Anytime access to retail discounts at 200+ retailers (Reward Gateway) • Anytime access to personal development and training courses via LinkedIn Learning • Casio Sponsorship Scheme for employee charity fundraising • Head Office team social events and activities including giveaways and reward &

recognition incentives • Join a company that's been certified as a 'Great Place to Work'!

Product Success Lead Location: London, 83 Victoria Street (4 days a week in the office, 1 day from home), plus agents' offices for go-lives | Full-time, permanent | Competitive salary and equity | Reports to: a co-founder

About LightWork AI LightWork AI builds Felicity, the AI front desk for UK letting and estate agents. She answers every call, email and message 24/7, qualifies leads and takes viewing requests, triages maintenance, and handles around 90% of that work on her own. We are live and generating revenue with agencies across the UK.

Roughly half of those enquiries arrive out of hours, when the branch is shut and the lead goes to whoever answers first. Felicity answers in under 20 seconds.

The Role We are hiring one technically trained owner for every customer after the sale. You get each agency live, prove Felicity's value in the agency's own numbers, and turn what customers run into into fixes that product and engineering can ship.

Most of the risk with our customers is technical: an agency that isn't fully connected, or a Felicity that has handled nothing in 14 days, needs someone who can open the logs and fix the cause, not just report it. A trial that ends without the agency paying is a lost customer.

You start as an individual contributor with no direct reports and a weekly one-to-one with your co-founder manager. Sales (one lead for independent agencies, one for groups) closes the deal and owns pricing. You take it from signed agreement to first live enquiry, then keep the account.

You are organised, calm with a frustrated agency owner, clear with people who aren't technical, and you ask for feedback and use it.

What Good Looks Like • Month 1: you know every live account, how each one is connected and how Felicity is performing for

it, and you have taken a newly signed agency towards go-live from a written handover.

• Month 3: the per-branch report and at-risk alert you built in your first 60 days are trusted at the weekly review, and no trial starts without the success criteria, go-live date and price you signed off.

• Month 6: branch retention and trial to paid are rising, time to go-live is falling, and anything fixed twice has become a template, a tool or a product change.

Key Responsibilities When these compete for your week, this is the order.

Accounts at Risk • Score every account's health every week from Felicity's own data: enquiries handled, viewing requests

passed to the branch, staff picking up her handoffs, and errors.

• Call at-risk accounts the same week.

• Give every lost account a reason backed by the record, not a guess.

Go-Live • Own each agency from signed agreement to Felicity's first live enquiry.

• Join the last sales call and get a written handover: how each branch handles enquiries today, why they bought, and what was promised.

LightWork AI | Product Success Lead | 1 of 3

• Connect the channels and property software (such as Alto, Street, MRI and Loop), set Felicity up the way each branch already works, and train staff on her handoffs.

Trial Entry • No trial starts until the agency has agreed in writing what "working" means, the go-live date and the

price afterwards. You sign that off.

• Flag a poor technical fit before a deal closes.

Proof of Value • Build the evidence behind each account's reviews in the agency's own numbers: enquiries caught out

of hours, viewing requests from them, response times, and what that is worth in fees.

• Draw every number from the logs, with each one defined.

The Fix, Not Just the Ticket • Change configuration yourself, within what Felicity supports, and never write custom code into a

customer's account.

• Send bugs to engineering with the affected customers attached.

• Rank the jobs Felicity can't yet finish by how many customers need each one, and review that list with product and engineering monthly.

• Make go-lives cheaper: anything fixed twice becomes a template, a tool or a product change.

Groups and Growth • Roll groups out a trial branch first, with a named champion who trains the next wave's champions;

each wave starts when the last meets the agreed criteria.

• Spot growth inside accounts (more branches, more channels, usage near the plan's allowance) and pass it to sales or customer success within a week. You don't set prices.

• Work with the customer success team so every account has one named owner.

How You're Measured Four numbers at the weekly company review, independents and groups shown separately. In your first 60 days you turn our per-branch data into a report and an alert you trust.

• Branch retention (up): the share of branches paying at the start of the month that are still paying at the end.

• Trial to paid (up): the share of trials ended that month that converted to a paid invoice within the trial window.

• Live in 14 days (up): the share of live branches where Felicity has handled an enquiry in the last 14 days.

• Time to go-live (down): median days from signed agreement to Felicity's first live enquiry.

Requirements

Must Have • You've shipped technical work that paying customers rely on: integrations, configuration, scripts, or AI

and automation workflows. You can walk us through one, including what broke.

• You've owned a customer number, such as retention, conversion or adoption. You can say where it started, what you changed, and where it ended.

Also Great • Three or more years in forward-deployed, solutions or implementation engineering, technical account

management or technical customer success.

• A technical degree. Shipped work counts equally.

LightWork AI | Product Success Lead | 2 of 3

• You already know property or property software. If you know AI but not lettings, we teach you: two weeks inside live branches with the customer success team, then go-lives alongside them before you lead one.

Why Join LightWork AI • Join a small, AI-first team with a product UK agencies already use and pay for.

• Own every customer after the sale, measured on four numbers that show the difference you make.

• The templates and tools you build become product.

• Work closely with the founders, with a weekly one-to-one with your co-founder manager.

• Competitive salary plus equity; any variable pay is tied only to the four measures.

• Hybrid working: 4 days a week with the team in our London office, 1 day working from home, plus agents' offices for go-lives.

LightWork AI | Product Success Lead | 3 of 3

Product Success Lead Location: London, 83 Victoria Street (4 days a week in the office, 1 day from home), plus agents' offices for go-lives | Full-time, permanent | Competitive salary and equity | Reports to: a co-founder

About LightWork AI LightWork AI builds Felicity, the AI front desk for UK letting and estate agents. She answers every call, email and message 24/7, qualifies leads and takes viewing requests, triages maintenance, and handles around 90% of that work on her own. We are live and generating revenue with agencies across the UK.

Roughly half of those enquiries arrive out of hours, when the branch is shut and the lead goes to whoever answers first. Felicity answers in under 20 seconds.

The Role We are hiring one technically trained owner for every customer after the sale. You get each agency live, prove Felicity's value in the agency's own numbers, and turn what customers run into into fixes that product and engineering can ship.

Most of the risk with our customers is technical: an agency that isn't fully connected, or a Felicity that has handled nothing in 14 days, needs someone who can open the logs and fix the cause, not just report it. A trial that ends without the agency paying is a lost customer.

You start as an individual contributor with no direct reports and a weekly one-to-one with your co-founder manager. Sales (one lead for independent agencies, one for groups) closes the deal and owns pricing. You take it from signed agreement to first live enquiry, then keep the account.

You are organised, calm with a frustrated agency owner, clear with people who aren't technical, and you ask for feedback and use it.

What Good Looks Like • Month 1: you know every live account, how each one is connected and how Felicity is performing for

it, and you have taken a newly signed agency towards go-live from a written handover.

• Month 3: the per-branch report and at-risk alert you built in your first 60 days are trusted at the weekly review, and no trial starts without the success criteria, go-live date and price you signed off.

• Month 6: branch retention and trial to paid are rising, time to go-live is falling, and anything fixed twice has become a template, a tool or a product change.

Key Responsibilities When these compete for your week, this is the order.

Accounts at Risk • Score every account's health every week from Felicity's own data: enquiries handled, viewing requests

passed to the branch, staff picking up her handoffs, and errors.

• Call at-risk accounts the same week.

• Give every lost account a reason backed by the record, not a guess.

Go-Live • Own each agency from signed agreement to Felicity's first live enquiry.

• Join the last sales call and get a written handover: how each branch handles enquiries today, why they bought, and what was promised.

LightWork AI | Product Success Lead | 1 of 3

• Connect the channels and property software (such as Alto, Street, MRI and Loop), set Felicity up the way each branch already works, and train staff on her handoffs.

Trial Entry • No trial starts until the agency has agreed in writing what "working" means, the go-live date and the

price afterwards. You sign that off.

• Flag a poor technical fit before a deal closes.

Proof of Value • Build the evidence behind each account's reviews in the agency's own numbers: enquiries caught out

of hours, viewing requests from them, response times, and what that is worth in fees.

• Draw every number from the logs, with each one defined.

The Fix, Not Just the Ticket • Change configuration yourself, within what Felicity supports, and never write custom code into a

customer's account.

• Send bugs to engineering with the affected customers attached.

• Rank the jobs Felicity can't yet finish by how many customers need each one, and review that list with product and engineering monthly.

• Make go-lives cheaper: anything fixed twice becomes a template, a tool or a product change.

Groups and Growth • Roll groups out a trial branch first, with a named champion who trains the next wave's champions;

each wave starts when the last meets the agreed criteria.

• Spot growth inside accounts (more branches, more channels, usage near the plan's allowance) and pass it to sales or customer success within a week. You don't set prices.

• Work with the customer success team so every account has one named owner.

How You're Measured Four numbers at the weekly company review, independents and groups shown separately. In your first 60 days you turn our per-branch data into a report and an alert you trust.

• Branch retention (up): the share of branches paying at the start of the month that are still paying at the end.

• Trial to paid (up): the share of trials ended that month that converted to a paid invoice within the trial window.

• Live in 14 days (up): the share of live branches where Felicity has handled an enquiry in the last 14 days.

• Time to go-live (down): median days from signed agreement to Felicity's first live enquiry.

Requirements

Must Have • You've shipped technical work that paying customers rely on: integrations, configuration, scripts, or AI

and automation workflows. You can walk us through one, including what broke.

• You've owned a customer number, such as retention, conversion or adoption. You can say where it started, what you changed, and where it ended.

Also Great • Three or more years in forward-deployed, solutions or implementation engineering, technical account

management or technical customer success.

• A technical degree. Shipped work counts equally.

LightWork AI | Product Success Lead | 2 of 3

• You already know property or property software. If you know AI but not lettings, we teach you: two weeks inside live branches with the customer success team, then go-lives alongside them before you lead one.

Why Join LightWork AI • Join a small, AI-first team with a product UK agencies already use and pay for.

• Own every customer after the sale, measured on four numbers that show the difference you make.

• The templates and tools you build become product.

• Work closely with the founders, with a weekly one-to-one with your co-founder manager.

• Competitive salary plus equity; any variable pay is tied only to the four measures.

• Hybrid working: 4 days a week with the team in our London office, 1 day working from home, plus agents' offices for go-lives.

LightWork AI | Product Success Lead | 3 of 3

Product Manager – Data & Intelligence

Product Manager – Data & Intelligence

Reports to: Director of Product Team: Product, alongside two other Product Managers Salary: £55,000–£65,000

The role

We have a lot of data, a lot of ideas and no shortage of interesting problems to solve.

What we don't want is a Product Manager who simply takes those ideas, turns them into tickets and keeps Jira tidy.

We're looking for someone who gets curious about the problem first.

You'll help us understand what our customers across the living sector are really trying to do, turn assumptions into hypotheses, find the evidence that matters and decide what is genuinely worth solving.

Then you'll work closely with Engineering, Data and the rest of StudentCrowd to figure out the right solution and get it into customers' hands at the right time.

You'll own a product area within our Data & Intelligence portfolio, working with the Director of Product on direction and priorities while having plenty of freedom over how you get there.

We believe strongly in freedom and responsibility. You'll have space to make decisions, challenge assumptions and try things. In return, we expect you to own the outcome, not just the output.

What you'll actually do

Find the right problems

● Talk to customers. Look at the data. Spend time with Commercial and Customer Success. Understand what is happening rather than immediately jumping to what we should build.

● Turn problems and assumptions into clear, testable hypotheses. Know what evidence would make you change your mind.

● Sometimes the loudest request will be the right thing to do. Sometimes it won't be. Part of your job is knowing the difference.

Decide what deserves our time

● There will always be more opportunities than Engineering capacity. ● You'll prioritise using customer evidence, product data, commercial impact and effort

rather than who asked most recently or shouted loudest.

● You'll own the backlog and roadmap for your area, but we care much more about the quality of the thinking behind them than how beautiful the Jira board looks.

Build with people, not for them

● Engineering and Data aren't teams we hand requirements to. ● You'll bring them into problems early, explore possible solutions together and make

sensible trade-offs between value, complexity, speed and quality. ● You'll work particularly closely with our Data Operations and Data Engineering teams

because much of what makes our products valuable starts with trusted, useful data.

Get things into the real world

● Discovery is useful only if it eventually leads somewhere. ● You'll turn validated problems into clear outcomes and requirements, work with

Engineering through delivery, make decisions when things get messy and help get products into customers' hands.

● Then you'll find out whether they actually worked. Launch isn't the finish line.

How we work

We try to be hungry, humble and smart.

● Curious: Go looking for the real problem. Ask good questions, talk to customers, explore the data and resist jumping straight to a solution.

● Grounded: Let evidence beat opinion. Stay close to customers and outcomes, know what you know and what you don't, and be willing to change your mind when the evidence changes.

● Bold: challenge assumptions and groupthink respectfully. Make decisions, take ownership and be prepared to say “we shouldn't build this” when that's the right call.

We want a healthy challenge. If everyone agrees immediately, we'd quite like you to ask what we might be missing.

And because we give people freedom, we expect responsibility. Own your decisions. Communicate them clearly. Measure what happens. Learn and adjust.

You'll probably be good at this if...

● You already have experience working as a Product Manager and have shipped real products with Engineering teams.

● You can take a loosely defined customer or business need and turn it into a properly understood problem rather than jumping straight to a feature or solution.

● You're comfortable talking to customers and asking questions that uncover what they actually need rather than simply collecting feature requests.

● You use qualitative and quantitative evidence to make decisions. ● You can work with engineers, data specialists, commercial teams and customers

without needing everyone to speak "Product".

● You're comfortable saying "I don't think we should build that yet" and explaining why.

● And you're interested in how AI is changing the way product teams work. We use AI heavily and expect our ways of working to keep evolving rather than treating today's PM processes as sacred.

It would be useful, but isn't essential, if...

● You've worked with B2B SaaS, data products, analytics or intelligence platforms. ● You understand enough about APIs, data pipelines and data quality to have

productive conversations with technical teams. ● You've worked in PropTech, property, higher education or another data-rich industry. ● But domain knowledge can be learned. Product judgement, curiosity and the

willingness to challenge your own assumptions matter more.

What good looks like

★ After your first year, we should be able to point to problems you helped us understand better, things we deliberately chose not to build because the evidence wasn't there, and products that customers are genuinely using because we solved something that mattered.

★ Engineering and Data should see you as someone who brings them good problems rather than predetermined solutions.

★ Commercial and Customer Success should trust that you understand their customers, even when you don't automatically say yes to every request.

★ And you should be able to show, with evidence, how the products you've helped build have made StudentCrowd's Data & Intelligence proposition better.

Where this can take you

● We're building the Product function as the company grows, so this isn't a role with a predetermined box around it.

● Do well and your scope grows with you: bigger problems, broader product areas and greater ownership, with a path towards Senior Product Manager and Lead Product Manager.

● We don’t expect you to arrive knowing everything.

We do expect you to stay curious enough to find the real problem, grounded enough to let evidence change your mind, and bold enough to challenge the room when something doesn’t add up.

Interview Process

Interview Process : 3 stages

1. Curious Conversation | 30 mins

A conversation about a product they’ve actually worked on. We’ll dig into the problem, how they knew it mattered, what they learned from customers and data, what assumptions changed, and what they chose not to build.

This is mainly about understanding how they really think about a product rather than walking through their CV.

2. Product Jam | 60 mins

This is the most important stage.

No case study, homework or presentation. We’ll put a realistic but deliberately ambiguous problem on the table and work through it together with the candidate, a PM and an Engineer.

We’ll give them information as the conversation develops and see what they ask for, how they frame the problem, form hypotheses, use evidence, collaborate and adapt their thinking.

There doesn’t need to be a polished solution at the end. Thinking is what matters.

3. Meet the Crowd | 45 mins

A more relaxed session with a few of the people they’ll work with across Engineering, Data and Commercial/CS.

This is about mutual fit and seeing how they communicate, disagree, make trade-offs and operate with freedom and responsibility.

Across all three, I’d like us to look for three behaviours: Curious, Grounded and Bold.

Curious enough to find the real problem. Grounded enough to let evidence change their mind. Bold enough to challenge assumptions and groupthink when needed.

Aurora Energy Research

auroraer.com

Regional Product Manager/Lead – Central Europe

Join our Software Analytics team in Warsaw

About the role

Aurora’s Software Analytics team is building the global investment analytics platform for the

energy transition. It is a seamlessly integrated suite of software products allowing our users

to value and benchmark any asset or portfolio, under any business model and market

scenario, anywhere in the world. Widely adopted by leading energy companies and investors,

the platform changes the way that energy market analytics is performed and delivered.

We are currently looking for an entrepreneurial driver to take charge of the Central Europe

(primarily Germany and Poland) part of our software platform. As the Regional Product

Manager, you will be contributing to the EMEA software product strategy and driving its

execution. You will understand the needs of our external and internal software customers in

Central Europe and closely engage with our technical teams to design and deliver solutions

that meet them.

Key responsibilities

• You will play a key role in defining the vision and strategy for our software platform in the

Central Europe markets

• You will build and maintain the regional roadmap for all Central Europe, software

products making key decisions on feature prioritisation, in line with product vision and

strategy

• You will own and manage a structured backlog of user needs and feature ideas

• You will define requirements for UI and modelling features of our Central European

software, and you will work with local and central technical teams to design solutions

meeting these requirements

• You will play a leading role in a cross-functional team of highly skilled software engineers,

product managers, modellers, research analysts, commercial and customer success

representatives in continuous product delivery

• You will develop and manage client relationships, develop in-depth understanding of

client requirements, and manage user feedback

• You will build and manage the Central Europe, software product team, fostering positive

working culture and providing mentorship and development opportunities for the team

Aurora Energy Research

auroraer.com

What we are looking for

Required Attributes:

• Minimum 3-6 years of professional experience at a major consultancy, energy company,

software company, financial services company, or other knowledge-focused firm or

institution

• Proven track record of successfully managing large complex projects or products that

require significant cross-functional coordination

• Excellent analytical and communication skills

• Good understanding of energy markets

• Results-driven, with a high degree of persistence in reaching goals and a hands-on

approach to ensuring targets are achieved

• Professional proficiency in English, as well as in either of German or Polish

Desired Attributes:

• Good understanding of power market models

• Track record of building and leading successful teams

• Knowledge of the Polish language is a plus

What we Offer

Some of the benefits we include are

• Private Medical Insurance

• Voluntary pension scheme

• Voluntary group life insurance at corporate rate

• Employee Assistance Programme (EAP)

• Multi-sport card

At Aurora, we offer a hybrid working model, though the level of flexibility may vary depending

on the role and team needs. For most positions, this typically includes 3 days in-office and 2

days remote, along with some flexibility in start and finish times. Please feel free to ask us

during the interview about what flexibility may be available for this specific role.

At AER, we are committed to offering flexibility in the way we work. Most of our roles are

Aurora Energy Research

auroraer.com

hybrid with a mix of in-office/home working and potentially adjustable working hours. Let’s

discuss what works for you and AER during the interview process.

The Company is committed to the principle that no employee or job applicant shall receive

unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or

belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity.

To apply, please submit your Résumé / CV, a personal summary, your salary expectations and

please inform us of your notice period.

Unfortunately, we are unable to accept applications via email, telephone, or social media platforms.

To be considered for this position, please submit your application using the link provided.

Applications submitted through any other channel will not be reviewed.

About us

From its academic roots, Aurora Energy Research is a thriving, rapidly growing company,

currently serving over 1000 of the world’s most influential energy sector participants,

including utilities, investors, and governments.

While we constantly strive to reach new markets and diversify our product portfolio, we are

already active across the globe in Asia-Pacific, Latin America, Europe, South Africa and North

America working with leading organisations to provide comprehensive market intelligence,

bespoke analytic and advisory services, and cutting-edge software.

We are a diverse team of experts with vast energy, financial, and consulting backgrounds,

covering power, hydrogen, carbon, and fossil commodities. With this, we provide data-driven

intelligence to fuel strategic decisions in the global energy transformation.

Aurora Energy Research

auroraer.com

Regional Product Manager/Lead – Central Europe

Join our Software Analytics team in Warsaw

About the role

Aurora’s Software Analytics team is building the global investment analytics platform for the

energy transition. It is a seamlessly integrated suite of software products allowing our users

to value and benchmark any asset or portfolio, under any business model and market

scenario, anywhere in the world. Widely adopted by leading energy companies and investors,

the platform changes the way that energy market analytics is performed and delivered.

We are currently looking for an entrepreneurial driver to take charge of the Central Europe

(primarily Germany and Poland) part of our software platform. As the Regional Product

Manager, you will be contributing to the EMEA software product strategy and driving its

execution. You will understand the needs of our external and internal software customers in

Central Europe and closely engage with our technical teams to design and deliver solutions

that meet them.

Key responsibilities

• You will play a key role in defining the vision and strategy for our software platform in the

Central Europe markets

• You will build and maintain the regional roadmap for all Central Europe, software

products making key decisions on feature prioritisation, in line with product vision and

strategy

• You will own and manage a structured backlog of user needs and feature ideas

• You will define requirements for UI and modelling features of our Central European

software, and you will work with local and central technical teams to design solutions

meeting these requirements

• You will play a leading role in a cross-functional team of highly skilled software engineers,

product managers, modellers, research analysts, commercial and customer success

representatives in continuous product delivery

• You will develop and manage client relationships, develop in-depth understanding of

client requirements, and manage user feedback

• You will build and manage the Central Europe, software product team, fostering positive

working culture and providing mentorship and development opportunities for the team

Aurora Energy Research

auroraer.com

What we are looking for

Required Attributes:

• Minimum 3-6 years of professional experience at a major consultancy, energy company,

software company, financial services company, or other knowledge-focused firm or

institution

• Proven track record of successfully managing large complex projects or products that

require significant cross-functional coordination

• Excellent analytical and communication skills

• Good understanding of energy markets

• Results-driven, with a high degree of persistence in reaching goals and a hands-on

approach to ensuring targets are achieved

• Professional proficiency in English, as well as in either of German or Polish

Desired Attributes:

• Good understanding of power market models

• Track record of building and leading successful teams

• Knowledge of the Polish language is a plus

What we Offer

Some of the benefits we include are

• Private Medical Insurance

• Voluntary pension scheme

• Voluntary group life insurance at corporate rate

• Employee Assistance Programme (EAP)

• Multi-sport card

At Aurora, we offer a hybrid working model, though the level of flexibility may vary depending

on the role and team needs. For most positions, this typically includes 3 days in-office and 2

days remote, along with some flexibility in start and finish times. Please feel free to ask us

during the interview about what flexibility may be available for this specific role.

At AER, we are committed to offering flexibility in the way we work. Most of our roles are

Aurora Energy Research

auroraer.com

hybrid with a mix of in-office/home working and potentially adjustable working hours. Let’s

discuss what works for you and AER during the interview process.

The Company is committed to the principle that no employee or job applicant shall receive

unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or

belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity.

To apply, please submit your Résumé / CV, a personal summary, your salary expectations and

please inform us of your notice period.

Unfortunately, we are unable to accept applications via email, telephone, or social media platforms.

To be considered for this position, please submit your application using the link provided.

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About us

From its academic roots, Aurora Energy Research is a thriving, rapidly growing company,

currently serving over 1000 of the world’s most influential energy sector participants,

including utilities, investors, and governments.

While we constantly strive to reach new markets and diversify our product portfolio, we are

already active across the globe in Asia-Pacific, Latin America, Europe, South Africa and North

America working with leading organisations to provide comprehensive market intelligence,

bespoke analytic and advisory services, and cutting-edge software.

We are a diverse team of experts with vast energy, financial, and consulting backgrounds,

covering power, hydrogen, carbon, and fossil commodities. With this, we provide data-driven

intelligence to fuel strategic decisions in the global energy transformation.