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Moveworks | AI Insights Analyst | Mountain View, CA | Onsite | https://moveworks.ai/

Moveworks.ai is an enterprise SaaS company based in Mountain View, CA founded by entrepreneurs that have a proven track record of scale and exits. The company is comprised of PhDs, engineers, and designers from Facebook, Google, Amazon, Tsinghua University, and Stanford University. The company is backed by prominent investors, highly successful CIOs, and notable artificial intelligence experts.

RESPONSIBILITIES - Utilize Moveworks AI platform to provide customers with unprecedented insights into their data - Compare customer data against industry standard benchmarks to provide operational insight - Use AI insights to partner with product team in order to build the right set of features that maximize value customers get from Moveworks platform - Partner with pre-sales team to present findings and insights to C-level leaders - Automate the process of analyzing data, building models, and visualizing results - Present findings and insights to C-level leaders at clients (Mostly F500 companies)

REQUIREMENTS - 5+ years of experience in a quantitative role - BA/BS/MS in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative field (advanced degrees are a plus) - Proficiency in SQL and Python - Experience in a startup and/or consulting environment is desirable - Self-motivated with the ability to work independently - Strong communication and organizational skills - Proven track-record of using data and analysis to affect strategic business decisions

Apply at https://jobs.lever.co/moveworks.ai/1bc97571-2a8f-48f0-bf84-8... If you have questions, send a message to jobs [a t] moveworks.ai

Moveworks | Platform Engineer | Mountain View, CA | Onsite | https://moveworks.workable.com/

MoveWorks.ai is an enterprise SaaS company based in Mountain View, CA founded by entrepreneurs that have a proven track record of scale and exits. The company is comprised of PhDs, engineers, and designers from Facebook, Google, Tsinghua University, and Stanford University. The company is backed by prominent investors, highly successful CIOs, and notable artificial intelligence experts.

Must Haves + You have built high performance, fault tolerant, scalable backend services in the past + You have familiarity with building and integrating with API based platforms and have an understanding of REST and RPC based systems + You have experience with SQL and noSQL databases (like PostgreSQL, MySQL, Cassandra and HBase) + You feel at home developing on the Linux platform with languages like Java/Scala, Python, or C++ + You have hands-on experience with IaaS systems like AWS, GCE or Microsoft Azure.

Apply at https://moveworks.workable.com/j/46892E730E If you have questions, send a message to jobs [a t] moveworks.ai

Moveworks | Platform Engineer | Mountain View, CA | Onsite | https://moveworks.workable.com/

MoveWorks.ai is an enterprise SaaS company based in Mountain View, CA founded by entrepreneurs that have a proven track record of scale and exits. The company is comprised of PhDs, engineers, and designers from Facebook, Google, Tsinghua University, and Stanford University. The company is backed by prominent investors, highly successful CIOs, and notable artificial intelligence experts. MoveWorks' current customers are large enterprise companies with more than 1,000 employees with medium to high levels of IT service management maturity.

Must Haves + You have built high performance, fault tolerant, scalable backend services in the past + You have familiarity with building and integrating with API based platforms and have an understanding of REST and RPC based systems + You have experience with SQL and noSQL databases (like PostgreSQL, MySQL, Cassandra and HBase) + You feel at home developing on the Linux platform with languages like Java/Scala, Python, or C++ + You have hands-on experience with IaaS systems like AWS, GCE or Microsoft Azure.

Apply at https://moveworks.workable.com/j/46892E730E If you have questions, send a message to jobs [a t] moveworks.ai

Stealth mode enterprise software company | Palo Alto, CA | Onsite

We are building an enterprise software company that will define how the next generation of knowledge workers get stuff done. Unlike traditional enterprise software, our software has artificial intelligence and messaging at its core, not as a bolt on. We have started 5 companies, 3 of which were acquired by public companies while the remaining 2 are vibrant private businesses. Backed by Sand Hill road VCs, our investor group includes world's leading AI experts and F50 CIOs.

We are looking for founding engineers to join us on this journey. You will play a pivotal role in defining and shaping the product, working with early customers and lighthouse partners, and other key aspects of building the company. Send us an email at work@bannertech.co

Our interview process starts with a phone screen, a tech challenge followed by an onsite interview.

Software Engineer, Machine Learning * building data pipelines to acquire/crawl, clean and maintain data for model building, as well as productionizing ML models * ML toolkits like Scikit Learn, Apache Spark MLlib, H2O, Aerosolve or Apache Mahout * developing on the Linux platform with languages like Java/Scala, Python, or C++ * prior experience working with Open source software or having contributed to it * familiarity with deep learning algorithms and frameworks like TensorFlow, Theano, Keras or Torch As a bonus, if you have some experience with NLP frameworks like SpaCY, Gensim or NLTK

Software Engineer, Platform * built high performance, fault tolerant, scalable backend services in the past * familiarity with building and integrating with API based platforms and have an understanding of REST and RPC based systems * experience with SQL and noSQL databases (like PostgreSQL, MySQL, Cassandra and HBase) * developing on the Linux platform with languages like Java/Scala, Python, or C++ * hands-on experience with IaaS systems like AWS, GCE or Microsoft Azure.

If you haven't seen this interview of Tony by Aaron Levie, it's good insight into how Tony thinks. FWIW, more violent metaphors than I've heard in violent movies. https://www.youtube.com/watch?v=nsk3nagSDRU

Product hunt is native advertising.

Focusing illusion states "Nothing In Life Is As Important As You Think It Is, While You Are Thinking About It"

I think the Placebo button addresses this, as this is a cause of significant stress in our lives.

Interesting. Not my experience. Every grid to halt scenario I see or hear of is just bad software decisions made under haste without deliberation, or foresight beyond initial launch (no attention paid to supporting it, let alone scaling)

Ergo, in your scenario even with 10 users, the application basically died under its own weight under nominal use.

IMO This is all you need to know about "technical debt"

1/ Poor code =/= technical debt. Far too often, poor code masquerades as "technical debt"

2/ Good engineers do the right thing which is always a judgment call based on circumstance & culture.

3/ Take guidance from your best engineers, and find a way for the business to adapt. Much easier to change the sales deck or pricing today, much harder to overcome bad technical decisions. No one ever said "I never knew that sales deck or pricing would last this long" but many say this about software. Be super careful & deliberate.

4/ Build things that are simple (not easy), and respond to demand. Focus on movability & robustness, not "perfect" design.

Given 3-5 year tenure of a typical employee at a typical tech company, this is less than expected attrition at a company.

It is not inconceivable that anyone who wanted to leave the company between now and the end of the year took this.

Not only is this a solid framework when it comes to choosing what one wants to do, in addition to being the reality of building a business, it is an increasingly important guardrail when the entire bay area buzzes with "rocketship" "unicorns" that get to $1B in ~2-3 years.

One way to counter this would be startup founders tweeting & sharing more but I know how little time you have for anything when you're building a business.

A major threat to Uber's profitability is its inability, thus far, to monopolize drivers. If it expands successfully in moving goods, it might be able to consolidate enough demand to make sure every available driver is always working for Uber.

It'll be interesting to see if its able to drag Lyft, Instacart, Shyp under the water as it puts its very large oxygen tank to use.

Thanks for writing this. I'm no veteran of startups but I did have the privilege in a previous role of seeing near failure up close, working very hard to ensure we grazed the graveyard, and are now (my former team that is) growing steadily.

The items you highlight are common across almost all startups, so the lessons I draw are meaningful across the board.

1/ Design startups for speed. There is no way in hell you will get rid of false positives. You need to make sure you survive enough till you hit a true positive. This does NOT mean writing more code faster. In fact, this means do NOT write any code if you can avoid it. Learn though extremely cheap means even if the means only return 10% of the signal of a working product. If people don't absolutely fall in love with the prototype, it's not going to work.

2/ Don't be blinded by big names. Big name customers love to stay in the know about what is going on. They also have inflated self worth. Go after the small guys, and start using that to beat the drum around the big guys. In a past role when I was selling, I was walked out of the building by a VP who called in to get rid of me. 2 years later they called me because smaller competitors had better products than they did.

3/ Engagement with a small feature matters a LOT - I agree with your take that deepening engagement for almost all companies prior to growth is a bad idea. It is relatively easier to find a "feature" 1 user likes, and then scale it out to other users, than deepen engagement with that user.

^^ This. It was a bet. Some times these things don't pay off.

A lot of folks were upset when a small app named Burbn removed a bunch of its features as well, after a year of stagnant growth.

This assumes that people don't grow & change. We should not only accept that people grow, but actively encourage them to have an opinion & give them enough room to change & grow.

Is it still as useful now that we know its not Feynman? :)

Having helped start a business & taken it from no revenue to mid 7 figures in revenue, I think what's missing from this list is books that convey how

1/ uncertain & dark the days of building a business are 2/ you're at the mercy of randomness (despite having a strong sense of agency)

In that sense, a few books that tell you that darkness is a rite of passage for building great companies would be

1/ Soul of a New Machine - http://www.amazon.com/Soul-New-Machine-Tracy-Kidder-ebook/dp...

2/ Fooled by Randomness - http://www.amazon.com/Fooled-Randomness-Hidden-Markets-Incer...

3/ Coders at Work - http://www.amazon.com/Coders-Work-Reflections-Craft-Programm...

4/ The Innovators - https://www.goodreads.com/book/show/21856367-the-innovators

5/ The Hard thing about hard things - https://www.goodreads.com/book/show/18176747-the-hard-thing-...

6/ Are your lights on? - https://www.goodreads.com/book/show/11221270-are-your-lights...

Major difference between public market valuations vs private market valuations.

Particularly, liquidation preference & anti dilution.

It's a story wrapped around randomness. That's what profiles are about more often than not.

Of course, Sacca isn't ordinary but to achieve the level of success he has had, its clear that randomness has a significant role to play (one that's vastly understated in the profile)

As internet shifts to mobile phones & apps become the dominant way to use the internet, it will automatically diminish the importance of Google Search, & the market will (is already) pricing this in.

I think Peter Thiel alluded to this in an interview recently. From what I recollect, he suggested that by the time Feds act, the monopoly has already been disrupted elsewhere.

45 minute mark of this interview http://thisweekinstartups.com/peter-thiel-launch-festival/

Fair point. When I say 90 days, I think if things are bad, it's typically easy to spot where the degenerate behaviors are starting, and correcting them. In 90 days, the leading indicators need to start looking good. It takes time for that to flow through the system.

You're right. My heuristic is not without exceptions.

When you're hired as an executive, the state of affairs is either glorious or shit.

If its glorious, its because the previous executive left. You in this case have the excellent opportunity of not screwing it up. Good luck, but it'll be while before anyone figures out that you're an imposter. Typically, your team will know well ahead of the CEO. By the time the CEO knows, its too late to mentor you. The damage is done.

If the state of affairs is terrible when you join, as a semi reasonable executive, you should be able to identify the most basic things that are effed up, and show improvement within 90 days. If you're unable to improve things right away, when they are screwed up -- sorry, you don't have what it takes. No amount of mentorship will address this.

FWIW I was let go many years ago. When I was interviewing for the next job, the hiring manager asked what happened at the last job.

Before I could share the story, he interrupted me & said."its ok. sometimes life throws curveballs at you. don't worry"

I'm latching, probably unfairly, to the comment about "market saturation". I give OP +1 for conviction, and -1 for lack of validation.

Right on. Somebody should've told Mark about the saturated social media market, or Larry about the saturated search market.

There are so many communication tools, surely its a solved problem right. Ask a knowledge worker today about their favorite communication tool, and you will end up with a dozen answers in about a week's time. Definitely a sign that the problem is solved. There are a dozen solutions after all. :)

Has anyone tried to determine if the prevalence of H1B visas results in a downward pressure on salaries in the tech sector? In theory, it shouldn't because H1B visas are supposed to be filled when you can't find a citizen or a resident, but I wonder.

I think acceptance by the community is essential for their business. If ones decides to shame Airbnb hosts in their buildings, it will present significant risk to Airbnb's business.

re: So... why don't those spaces "belong" in the rental market too?

That's a good discussion to have I think. But we are talking about Airbnb here.

re: Ultimately, if market forces make it more profitable for rooms to be used for short-term stays than as homes, it will be very hard to stop that from happening and not at all clear that we should stop it from happening.

Yeah, you might be right. The cost of this is lack of affordable rent in cities like NYC. Some of us believe that we have a responsibility to ensure this. Now, the debate is about how big of a role Airbnb is playing in this.

Anecdotal evidence here. The last person renting the apartment I rent in NYC didn't live in the apartment. She was renting it as two units on AirBnB (and lived in different building). She was kicked out when the landlord discovered it, and we were lucky to grab it.

If at all, this proves that long term rental units are being rented on Airbnb. This might not drive rent but drives availability of units.