Job Description

TL;DR – We’re seeking an Analytics Engineer to own the data foundations that fuel the GTM teams: building reliable models, shaping metrics, powering automation, and turning raw data into the insights and data products that drive Sales and Customer Success.

Why Lovable?

Lovable is the software creation platform that gives people the power to act on the problems closest to them. For decades, turning an idea into software required so much capital, technical fluency, and time that many ideas never came to life. Lovable is the counterargument: a platform for all people with ideas, ambition, and problems worth solving. From solopreneurs to small business owners to teams at companies like Adidas and Zendesk, people have built over 60 million projects on Lovable since its launch in November 2024. And we’re just getting started.

We’re building a generational company from Stockholm, with growing teams in London, Boston, New York, and San Francisco. Our team is small, talent-dense, and moving quickly, with a culture rooted in extreme ownership, high velocity, and low-ego collaboration. We look for people who care deeply, ship fast, and are eager to make a dent in the world.

Lovable is one of TIME’s 100 Most Influential Companies and has been recognized on the Forbes AI 50 and CNBC Disruptor 50, reflecting our momentum as one of Europe’s fastest-growing AI companies and one of the most ambitious places to build in this next era of software.

What we’re looking for

We’re looking for an Analytics Engineer with a background in Data Engineering or Analytics Engineering who operates as a true full-stack analyst, owning everything from raw data to insights to operationalization.

You bring:

• Strong SQL and analytical data modeling skills (ideally dbt or SQLMesh).

• Experience with ELT/ETL workflows and cloud warehouses (Snowflake, BigQuery, Redshift, Databricks).

• Comfort with Python for automation and light data engineering.

• Experience with dashboards, BI tools, and self-serve analytics.

• Clear communication, collaboration, and comfort working in ambiguity.

• Nice to have: experience with AI/LLM products, instrumentation, experimentation, or early-stage startups.

What you’ll do

• Partner with Sales and CS on data and reporting needs. Translate ambiguous business questions into structured data models, analysis and actionable insights, and data-fueled products.

• Build and maintain data warehouse models that serve as the source of truth for product usage and GTM metrics.

• Model CRM data, usage data, and billing data to power Sales and CS automation, CRM enrichment, lead definition and creation, and GTM tooling.

• Design metrics, dashboards, and data UIs in Hex and Lovable for GTM leadership and teams to access and operationalize data.

• Partner with Product and Engineering on event instrumentation and schema design.

• Improve documentation, observability, governance, and data best practices.

• Contribute to forecasting models, KPI definitions, and experimentation frameworks.

• Own and improve data pipelines, ingestion workflows, and data quality testing.

You’ll thrive here if you

• Enjoy building clean, reliable, reusable data models.

• Have experience partnering closely with cross-functional GTM teams to solve real problems with data.

• Prefer simplicity over complexity in data and tooling design.

• Communicate clearly and proactively with technical and non-technical teams.

• Take ownership, move quickly, and iterate often.

• Want to help define and scale Lovable’s data foundations and culture.

• Care about the rep experience and view analytics as a product.

How we hire

1. Fill in a short form then jump on an initial exploratory call.

2. Discuss your experience in more depth during a round of interviews with us.

About your application

• Please submit your application in English. It’s our company language so you’ll be speaking lots of it if you join.

• We treat all candidates equally – if you’re interested please apply through our careers portal.

Partner Development Manager (PDM), Global Strategic Technology Partnerships

Location: AMER Reports to: VP, Strategic Technology Partners

About the role

You'll work with some of the biggest technology companies in the world: AWS, Google Cloud, Snowflake, Databricks, and Shopify. As our AMER PDM for tech partners, you'll turn global partnership strategy into regional-specific execution in AMER that drives pipeline and revenue for Braze while feeding each partner's own commercial model.

You'll work most closely with our Global Account Leaders, who own the global relationship with a single partner (for example, the AWS global relationship owner), and our Partner Sales Managers (PSMs), who own partner activity on specific Braze customer opportunities.

What you'll do

Execute regional partner development strategies

• Work closely with global account leads to translate global partner strategies into AMER-specific execution.
• Own delivery of regional programmes that unlock new revenue opportunities for both Braze and the partner.
• Deepen partner relationships beyond the partnerships org, into industry and vertical sales leadership.

Own AMER AWS Marketplace growth

• Grow new business transacted through AWS Marketplace, moving Braze's engagement from reactive to proactive.
• Own the commercial levers behind marketplace growth: co-sell relationships, pipeline quality, and partner funding and incentive programmes.

Enablement and evangelism

• Champion Braze inside partner field organisations and build the case for why partner sellers should bring Braze into their accounts.
• Enable Braze sellers on when and why marketplace is the right route for a deal, and evangelise joint wins across both organisations.

What success looks like

• Pipeline: PQLs plus sourced and influenced closed-won business, growing quarter over quarter and year over year across your assigned GSPs.
• Marketplace: more ACV/TCV and transaction volume through AWS, Google Cloud, and eventually Snowflake marketplaces and field sales programs.
• Field engagement: Braze AEs, CPLs, and partner field reps actually running marketplace motions, not just hearing about them.
• Operations: clean, accurate partner pipeline data and a healthy partner referral flow.

What we're looking for

• 3 to 5 years in partnerships, business development, or cloud sales at a SaaS company.
• Hands-on experience with hyperscaler and cloud marketplaces (AWS, Google Cloud, Azure, Snowflake), including the funding and incentive programs around them.
• Experience managing pipeline, forecasts, and sales motions in Salesforce.
• The trust-building skills to run joint GTM plays with partner field teams, and the operational discipline to keep the data behind them clean.
• Strong communication, presentation, and stakeholder management skills, and comfort working across Sales, Marketing, Operations, and Product.

Why Join Braze

At Braze, we’re building the customer engagement platform of the future. Our GSP ecosystem with AWS, Google, Snowflake, Databricks, and Shopify represents a critical growth engine for Braze. As a Partner Development Lead, you’ll be on the front lines of driving this growth, shaping how we engage with partners regionally, and ensuring that marketplace and field sales motions are a consistent source of new revenue, influence, and scale.

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $101,000 and $158,000/year, with an expected On Target Earnings (OTE) between $135,000 and $211,000/year (including bonus or commission).Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

#LI-Hybrid

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

Metronome is the leading usage-based billing platform built for modern software companies. With Metronome, companies can launch products faster, offer any pricing model, and streamline finance workflows without writing code. Our platform computes millions of invoices per billing period and is scaling rapidly to accommodate new customers, saving them hours of development time and manual invoicing and enabling them to use consumption data to better serve their customers. Our customers love our product and approach, and we’re humbled to work with amazing companies like OpenAI, Databricks, NVIDIA, Confluent, and Anthropic.

You'll be joining an experienced team that includes founders who have successfully built and sold startups before. Our founders and employees have direct experience building and scaling teams through massive growth at companies like Dropbox, Clever, and New Relic. On the back of this experience and our success-to-date, we’ve raised over $128M from leading investors including NEA, Andreessen Horowitz, General Catalyst, Elad Gil, and Workday Ventures. We’re also proud to have founders and executives of companies like Segment, Plaid, Looker, Gitlab, Confluent, HashiCorp, and Snowflake, as investors who have experienced the pain we're solving firsthand.

About the team

The Solutions Architecture team at Metronome is a technical group that sits at the intersection of sales, growth, product, and R&D. In simple terms, we own the technical aspects of the customer lifecycle between after sales and before handoff to post-implementation teams. 

As a member of the Solutions Architecture team, you’ll primarily be focused on ensuring customers successfully implement Metronome’s products and realize value quickly.

Responsibilities

• Using proficient discovery and scoping  to understand what challenges our clients face in billing, launching new products, pricing & packaging, quote-to-cash, customer experience, and related areas.
• Doing whatever it takes to support clients throughout the entire implementation lifecycle, including requirements gathering, technical design, integration design, testing, data migration, and launch. 
• Providing expert guidance to clients regarding usage-based pricing and consumption business models.
• Hands on configuration of Metronome’s system on behalf of clients
• Designing integrations between Metronome’s APIs and the clients business systems to align to Metronome best practices (including CRM/ CPQ, Payments, Taxation, ERP, Billing Providers, Reporting and Analytics tools).
• Acting as a  liaison between the field and Metronome R&D to advocate for client needs and feature requests.  
• Partnering with implementation managers and other project team members to provide visibility into progress and proactively identify risks and issues
• Building relationships with people at our client organizations, from day-to-day operators to C-Suite executives. We believe in meeting our customers in-person whenever possible. 
• Designing integrations of Metronome into prospect systems and consultatively influencing the direction of our prospects’ pricing and packaging.
• Ensuring a proper handoff to our post-implementation teams (Customer Success and Technical Support).

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Expect these engagements to be complex, deep, technical, and most of all interesting. Metronome directly influences how the internet monetizes - AI is an obvious current example - and our group is on the front lines driving this influence with our prospects. Metronome is a startup. As such, there’s a lot still to figure out and tremendous room for high-agency people to impact our direction and strategy, build processes from zero to one, and generally make a difference. If this excites you as much as it excites us, let’s talk.

Minimum requirements

• 10+ years of experience working in technical and/or customer-facing roles involving SaaS products (for example, roles like sales engineering, solutions architecture, technical account management).
• Deep knowledge of the quote-to-cash space, including integrating with or otherwise interacting with tools like Salesforce, NetSuite, CPQs, Billing, Tax, Payments, etc.
• Experience leading complex, multi-phase technology transformation programs for enterprise companies.
• Experience in fast-moving startup environments that value high agency.
• Ability to quickly learn and communicate technical concepts to technical, go-to-market, and finance stakeholders.
• Excitement for building and improving GTM playbooks, processes, and reusable assets.
• Ability to travel approximately 30% of the time (will vary depending on client needs)

Preferred qualifications

• Experience as a software engineer, product manager, or in other technical roles.
• Strong understanding of project management and program management fundamentals and principles 
• Experience working with users from one or more of the following personas: Finance/ CFO, Engineering/ CTO, Product/ CPO, Sales Ops/ CRO, and Billing Operations. 
• Experience with logs, metrics, billing, finance, or other infrastructure or financial tooling and concepts.

Who we are

About Bridge

We’re creating an entirely new payments platform, built with stablecoins, to simplify global money movement. Bridge enables faster, cheaper payments and borderless access to dollars via stablecoins. Through our APIs, businesses can send and receive funds across borders faster / cheaper vs. SWIFT and other fiat-only rails. Our virtual accounts enable international consumers and businesses to easily access, store and spend US dollars. Our payouts infrastructure enables platforms to disburse USD to anyone globally. We believe many trillions of dollars will move and settle through stablecoin payment rails. Bridge is pulling this future forward. 

We have a small team of people who have previously built financial infrastructure at some of the world’s leading companies (Coinbase, Stripe, Square, Brex, Upstart, DoorDash, Airbnb) and each and every one of them chose Bridge because they fundamentally believe that stablecoins will be a critical piece of financial infrastructure that allows for the improvement of global money movement.

What you’ll do

We are looking for a Product Analyst  to join our Data team at Bridge. You'll own the data strategy for customer experience at Bridge, spanning two closely linked areas:

• Payments quality — transaction speed, uptime/reliability, error rates, and support ticket trends across our payment rails and products.
• Product experience — how customers interact with Bridge's dashboard, onboarding flows, and other surfaces, and where friction is costing us adoption or trust.

This focus area may shift over time as the business evolves, and we're looking for someone who can adapt their scope accordingly — spinning up their knowledge of different product areas, creating new analyses and instrumentation as priorities emerge or change.

 This is a high-ownership seat: you'll be the primary data voice for your focal area, expected to identify what matters, build the pipelines and analysis to prove it, and drive decisions from insight through to shipped outcomes — with real latitude to define how you get there.

Responsibilities

• Own the data needs for your focal area end-to-end: define and refine the right metrics, build the pipelines to source them, and drive them into decisions — without needing significant hand-holding.
• Analyze payments quality signals (latency, uptime, failure/error rates, support ticket volume and themes) to identify where customers are experiencing friction and quantify the business impact.
• Analyze product and UX data (dashboard usage, onboarding funnels, feature adoption) to find opportunities to improve the customer journey.
• Design, build, and maintain robust, well-documented data pipelines and ETL processes that make customer experience data easy to access, trust, and query across the company.
• Write and maintain production-quality SQL and pipeline code in Databricks, with work version-controlled and reviewed via GitHub.
• Build and maintain dashboards and self-serve tools that let Product, Engineering, and Support teams monitor customer experience metrics without depending on ad hoc requests.
• Partner cross-functionally with Product, Engineering, and Support/Operations to translate findings into concrete product and process improvements.
• Proactively flag emerging issues or trends in payments quality or product experience before they become customer-facing problems.
• Continuously improve data quality, documentation, and tooling for your focal area as Bridge's product and scale evolve.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 6+ years of experience as a data analyst or in a similar analytics role, ideally at a payments, fintech, or high-growth technology company.
• Excellent SQL skills, with experience querying and modeling data in a modern warehouse/lakehouse environment (e.g., Databricks).
• Hands-on experience building and maintaining data pipelines and ETL processes, and comfort working with version control (GitHub) as part of a technical workflow.
• Strong analytical and diagnostic skills — able to independently investigate a problem, identify root cause, and turn findings into a clear recommendation.
• Experience building dashboards and visualizations that communicate insights clearly to both technical and non-technical stakeholders.
• Demonstrated ability to work independently, take ownership of a focal area, and manage multiple concurrent priorities with minimal oversight.
• Strong written and verbal communication skills, with the ability to explain technical or data-driven findings to non-technical audiences.

Preferred qualifications

• Experience analyzing payments data specifically (transaction quality, uptime/reliability, support ticket trends) or product/UX data (onboarding, dashboard engagement, funnels).
• Programming experience (e.g., Python) and familiarity with data manipulation libraries (e.g., pandas).
• Experience working in a fast-paced startup or high-growth environment where priorities and scope shift with the business.