HelloData (Grace Hill) | Principal Product Engineer, Principal ML Engineer | Remote (US Only) | Full-Time | $175K–$250K + Bonus | https://www.hellodata.ai
HelloData is an automated market analysis platform for multifamily real estate. We process daily data from hundreds of thousands of property websites to power pricing intelligence and investment decisions. Acquired by Grace Hill in 2025, we've grown ARR 300%+ while keeping startup pace.
We're hiring two principal-level roles:
*Principal Product Engineer* — Full-stack architect who owns features end-to-end, from database schemas and cloud infra to polished UI. Technical anchor for the engineering team, bridging product strategy and shipping code. Expert-level Node/TypeScript, Vue 3 (Options API), PostgreSQL, GCP. 5-10 yrs experience, startup background preferred.
*Principal ML Engineer* — Owns the full ML lifecycle, from designing statistical models and algorithms to shipping them in production at scale. Partners with product and engineering to architect data foundations for every new feature. Expert Python, PyTorch, deep learning (fine-tuning Transformers, custom training loops), PostgreSQL/BigQuery, GCP MLOps. MS + 5-10 yrs ML experience.
Join HelloData as our sixth engineer and help shape the leading public data platform for property owners, managers, and developers. We’re a profitable, fast-growing, and fully bootstrapped PropTech startup with several million in ARR, powering market surveys, pricing intelligence, and comps for thousands of properties across the U.S.
Stack: Node, TypeScript, Vue.js, PostgreSQL, GCP.
You should have:
* 2+ years of experience in startup-like environments
* A degree in Computer Science (or equivalent experience)
* Confidence working across our stack
* A bias toward action and shipping fast
Compensation: $125K + health + dental
We do a lot with a lean team — if you're into real estate, data, and getting product out the door quickly, we'd love to talk.
Interested? Email me: nico[at]hellodata[dot]ai
Notes:
- Unfortunately, we do not have the option to sponsor US visas at the moment.
- We typically sync and work on Central Time.
- Only US remote
Join HelloData as our sixth engineer and help shape the best public data platform for property owners, managers, and developers. We’re a profitable, fast-growing, and fully bootstrapped PropTech startup (several million in ARR) powering market surveys, pricing intelligence, and comps for thousands of properties across the U.S.
Stack: Node, TypeScript, Vue.js, Python, PostgreSQL, GCP
Looking for: 2+ years in startup-like environments, comfort working across the stack, and eagerness to build fast and ship often.
Comp: $125K + health + dental
We do a lot with a lean team — if you're into real estate, data, and getting product out the door quickly, we'd love to talk.
Join HelloData as a Full-Stack Engineer and become the third member of our engineering team. You'll help us build new features from backend to frontend, helping us create the best public information platform for property owners, managers, and developers. We are a profitable, 100% bootstrapped, rapidly growing PropTech startup with several million in ARR.
We are looking for someone comfortable with Node, Typescript, Vue.js, Python, PostgreSQL, and 2 years of experience in a startup-like environment. We use Google Cloud products for orchestration, and deployments. Must like working in a fast-paced environment.
Compensation package: $125k + equity + dental + health + unlimited PTOs (we can set an amount if you'd prefer, we don't want anymore to feel guilty taking those days, as founders, we DO take our days off too!)
I strongly believe so, the same way a business can check competitors' prices. If it's public, it's fair game.
Note: I am biased, I'm working on a platform that does exactly that, taking an orthogonal direction to real estate analytics: https://www.hellodata.ai. Using 100% public data.
We actually built some hubspot and slack integrations and you folks released those same integrations soon after. It proves that you listen to your customers and develop meaningful features. Kudos to you!
We’ll keep recommending you over any of your competitors because your output is so much better!
Co-founded a startup about a year ago. Also released a bunch of websites in the past 15 years.
The experience is really different now. It has become really easy to get the design and content 80% there with free tools. We’ve used goHugo with a template at first, it was faster than writing our HTML/CSS, but then discovered webflow and it was REALLY faster. Our non-technical co-founder could do really powerful customizations in there too without diverting efforts from the product. (Result here: https://www.hellodata.ai)
In essence, I don’t think people necessarily spend more time on their landing page now, but given that you can get 80% there by spending a weekend or two on your website, not doing it would almost feel sub-optimal.
I have spent couple hours trying your product, it's pretty damn good! Couple remarks:
1. It would have been great if I could make other variables used in Monte Carlo simulations than the market. It would allow one to model uncertainty. For example, an event could happen following a random distribution (kid arrival, move between 3 and 5 years), or a future salary could follow some normal distribution, etc.
2. The main dashboard for a plan is GREAT. UI/UX-wise, considering the number of dimensions to factor, I find it surprisingly simple to iterate over a plan.
3. Having the option to show expenses on the main plan chart would be great. Expenses are a big part of optimizing personal finances.
4. The plan comparison may deserve a different UI than the simple plan analysis. Seeing differences on the right is not completely intuitive.
5. I'm currently living in France, and we have some accounts with no amount limit but with an annual transfert limit. For example, you cannot add more than 20K€/year to the account. I believe it's currently not possible to set a cash allocation such that it maximizes transfert amount/year instead of overall amount.
6. Related to 5., but we cannot withdraw from that account without paying taxes until retrieving, then it's tax-free up to some amount per month. Maybe similar to a 401k. But it's impossible to set that up on a custom account.
7. I have set that model up, still in trial, but now I'm really scared that my browser might bug or hit refresh by habit and loose everything. The find the saving feature to be really harsh. It'd be nice to find some alternative so that it can be saved, and maybe retrieve it after subscribing? Or limit the number of parameters/events that can be added to the model? Or show in much simplified mode. In my case, I'd like to show my partner and discuss it before subscribing: I want to make sure it contains enough features needed to model our finances.
Really good job overall, I'll certainly follow your work!
Enodo | Senior Frontend Developer | Chicago (IL) | Full Time | Onsite
Enodo solves the crucial problem of lack of information and lack of scientific approach to multifamily property valuation using machine learning and data comprehension for our users.
We are actively looking for a senior frontend developer that would be able to bring our platform and tools to the new level, by improving their usability and design!
More technically, we are looking for someone able to work with Vue.js or similar (React.js for example), able to use git and that can do magic with CSS.
We are a small team of 11 great and passionate backend full stack developers and data scientists. You will have full ownership of the frontend, and we offer great compensation package.
If you are interested, send your resume to [email protected] (specify that you read that post), and I will answer any question you may have!
HelloData is an automated market analysis platform for multifamily real estate. We process daily data from hundreds of thousands of property websites to power pricing intelligence and investment decisions. Acquired by Grace Hill in 2025, we've grown ARR 300%+ while keeping startup pace.
We're hiring two principal-level roles:
*Principal Product Engineer* — Full-stack architect who owns features end-to-end, from database schemas and cloud infra to polished UI. Technical anchor for the engineering team, bridging product strategy and shipping code. Expert-level Node/TypeScript, Vue 3 (Options API), PostgreSQL, GCP. 5-10 yrs experience, startup background preferred.
*Principal ML Engineer* — Owns the full ML lifecycle, from designing statistical models and algorithms to shipping them in production at scale. Partners with product and engineering to architect data foundations for every new feature. Expert Python, PyTorch, deep learning (fine-tuning Transformers, custom training loops), PostgreSQL/BigQuery, GCP MLOps. MS + 5-10 yrs ML experience.
Stack: TypeScript, Node.js, Vue 3, PostgreSQL, BigQuery, Python, PyTorch, GCP.
Compensation: $175K–$250K + bonus + health/dental/vision/401K
Interested? Apply at: - https://gracehill.applytojob.com/apply/UhAMjCzQvr/Principal-... - https://gracehill.applytojob.com/apply/i8qyIhJvJ6/Principal-...
Notes: US-based only, no visa sponsorship. We sync on Central Time.