Comparative Literature and English at Chainguard
Alumni Aloud Episode 102
Lisa Tagliaferri earned her PhD in Comparative Literature at the CUNY Graduate Center. She is now a Senior Director of Developer Enablement at Chainguard. Erin Rose Glass earned her PhD in English at the CUNY Graduate Center. She is now a Product Manager at Chainguard.
In this episode of Alumni Aloud, Jenny speaks with Lisa and Erin about the relationship between the humanities and technology, applying academic skills in a business space, and the promising potential offered by startups.
This episode’s interview was conducted by Jenny Furlong. The music is “Corporate (Success)” by Scott Holmes.
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(Music)
VOICEOVER: This is Alumni Aloud, a podcast by Graduate Center students for Graduate Center students. In each episode, we talk with the GC graduate about their career path, the ins and outs of their current position, and the career advice they have for students. This series is sponsored by the Graduate Center’s Office of Career Planning & Professional Development.
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JENNY FURLONG, HOST: Well, welcome Lisa and Erin. We’re so glad to have you today. For those who don’t know me, I’m Jenny Furlong. I direct the Office of Career Planning and Professional Development here at the Graduate Center and I had the pleasure of of first meeting Lisa and Erin when they were students here. Erin in the doctoral program in English and Lisa in the doctoral program in Comparative Literature and I’m not going to read their full bios but I will drop the link to this event registration page in the chat so for those of you who want to read their full bios or haven’t gotten a chance to, but Erin is currently a Product Manager at Chainguard, which is a software supply chain security startup. And Lisa is the Senior Director of Developer Enablement there. So I was saying to Erin that folks on the staff that career planning are very . eager to hear more about Chainguard because we are having trouble sorting out. We weren’t clever enough to sort out exactly what Chainguard does on our own. So I’ll just let you both get started with the question. You know, you both pursued your doctorates in literature -focused disciplines and what kind of drove your research then and what questions really shape your work today? And either one of you is welcome to jump in and start.
LISA TAGLIAFERRI, GUEST: Sure. I could start. I could start with what Chainguard is. So one of the things that is disruptive in software security is something called vulnerabilities. And what we offer is a tool that makes vulnerabilities almost completely absent. So for folks who may have more of a background in CS, their containers is what our product is, container images, and we make them very minimal. So there’s not a lot of stuff in there, which makes it so that there’s not a lot of vulnerabilities in there. And this is something like, you know, the customers of Chainguard are mostly enterprise customers, but it’s the hope is that this improves the software supply chain overall, which has like end user implications too. I think that’s helpful.
Cool, and then, yeah, to talk about a little bit about what what has driven me throughout kind of my career. And I think what I think has motivated me has been pretty consistent throughout my academic studies and my work in postdoctoral positions and then into like tech startups. It has mostly been around around access around bringing more people into knowledge production. So if I take a step back and talk about like that, my dissertation work, I worked on Catherine of Sienna, who’s a 14th century mystic writer. And my argument had to do with her, her contributions to language innovation during the 14th century in Italy. So for those who don’t know, like in Italy at the time, Latin was the predominant language that was used by people in power. But there were a lot of people doing community work, like, like Catherine Ocieta, like Francis Ovesisi. They were also like poets like Dante, writers like Boccaccio, who started to really operate and create literature in the vernacular language, the language that people are speaking. on the streets. And this really served to kind of elevate the language and also to make it a tool that improved like that knowledge production.
And this kind of work, this community work that is driving like accessibility and driving more people into like the position to be able to develop innovation and to be part of that discourse is what I take with me into the tech startup space. Like my work is all around supporting developers and also supporting people becoming developers and even helping people understand what’s at stake with technology because I think that if we… we if we don’t allow more people to be stakeholders and like people who have a seat at the table in tech then tech is only going to be made for the people that are in the room the people who are sitting at the table the people who have like the language so to speak of technology so my yeah my whole thread is around like driving more access more openness and and and helping people get into the fold and kind of using this like humanistic approach that is like an old old technology of language that is still I think relevant to today with technology. I’ll turn it to you, Erin.
ERIN ROSE GLASS, GUEST: Lisa, that was that was wonderful. Thank you. And first off, thanks to Jenny for having me and us and good to see some familiar faces here. So I miss my CUNY folks. Yeah, I, one of the ways I started thinking about technology back in the English program many, many years ago was through writing technologies. I became really interested in how writing technologies, specifically computational technologies were sort of subtly influencing the way we think about writing, the way we practice writing, and also the audience that writing has in the world. And I was thinking about that specifically with student writing. And, you know, at the time, just thinking about word processors in general, right, the most boring form of technology you can possibly imagine, I started looking into the history of word processors and the history of the university’s adoption of word processors and found that, you know what, that was only one of many, many choices that the university could have made. And that the word processor, which seems pretty neutral to us now, pretty normal, like, how could you think of another tool that would do writing for you, was actually a very specific, you know, embodied very specific vision of what writing is for and how one does it. And in fact, it really inherited a lot of business and administrative philosophies about writing. And so my dissertation research really revolved around, investigating sort of the history of the adoption of technology in universities, specifically in the humanities and in classrooms. And why did we end up adopting commodified options, and software options like where, word processors, but also eventually learning management systems and other things. And what were the political effects, intellectual effects, the social effects there?
One thing that I found really, really fascinating was that in the late 70s and 80s, before sort of the commercial forces had locked down technology in universities, there was a lot of exploration by folks that weren’t even in computer science, thinking about how, you know, computers and software could support,
support writing and teaching. And there were some really, really creative endeavors in that space that I personally found very, very inspiring. For example, in 1979, a guy named Hugh, I’m forgetting his last name, sorry, but he… as a graduate student in rhetoric, designed a chatbot that was influenced by Aristotle’s rhetorical concept. And you can actually play a version of it now. That’s another story. A developer ended up rebuilding it after I mentioned it in one of my talks. So it’s called Topoi if you want to look for it. What I love about these sort of older historical projects is they just show a completely different model of technology. And you can really feel it, I think, on the sort of– even though this chatbot was in 1979 and is far less smart than the open AI chatGBT chatbots you see out there today, I think it embodies a more human touch and more charm and humor. And so that was really cool. Just just finding these old projects that embodied a different approach technology.
And one thing another thing that became very interesting to me is not this different model technology happens when the users are actually closer to the to the development of the tools right right now we the dominant form of software consumption is someone else makes it and then we receive it and we often often don’t expect to be able to modify that software to look under the hood. Now of course open source has sort of enabled broader user agency I guess you could say right and if you don’t know what open source software is software where the code is actually available for you to use them and make things out of it and inspect so you know in principle we have the availability for users to make their own technology today, but of course that’s really only for users that have technical skills. So the thing that’s driven me throughout my career from my graduate studies to then I was working in as a digital scholarship librarian for a while at UCSD before switching over to Digital Ocean, a cloud company and working on their education team, technical education team, and now Chainguard is really thinking about this idea of user agency or community agency.
How do communities have broader visibility into their code bases? And how do they have more agency to change that? And sometimes that’s, you know, you’re just thinking about that for technical communities, people, developers that are already doing this anyway. And how can you enable them to have more agency? But I think more broadly, one of the questions that I always carry with me throughout my roles is, how can we enable that sort of agency to folks that are not technical? How can we enable communities to be the drivers of the technology that they use? And I think if we shifted to that model, we might not feel so alienated from the technologies that shape our world. So that’s a little bit about me.
FURLONG: Great, thanks to both of you. The next thing I wanted to talk about is how did you, and you both alluded to this, what steps did you take along the kind of career path to get to your current position? How did you, especially in that first kind of post -degree role, maybe had a graduate degree that isn’t an obvious graduate degree for moving into a tech space. How did you make that step? And what are, so what are some of the choices and what got you excited about being a Chainguard?
TAGLIAFERRI: Do you want to go first or should I?
ROSE GLASS: Go for it because I’ve got a cough here.
TAGLIAFERRI: Okay. Yeah. So I, I actually applied to a number of jobs while I was ABD I maybe wrote a few chapters of my dissertation by that time. The way I approached the dissertation was I did, I did, So I did a lot of archival research being a like medievalists, early modernist. So I had kind of all of my notes then I did, it was also a strong Digital Humanities components. So that was all done. And I was at the writing stage and I started applying to like things like digital humanities jobs ’cause it was not, it was at the end of the academic year, which is not when like the tenure track jobs come up yet. And I applied to a number of academic jobs that were like digital humanities or like pedagogy kind of roles And I also I also applied to this digital ocean job as which was an engineering technical writer and it kind of came up because I used some of their guides to set up my own cloud instance for a digital humanities component of my dissertation project. And I was, remember like reading like the tutorials and documentation and just thinking like, this is like a kind of interesting, you know, form. And so they kind of stayed on my radar for a bit because of that. Like, and yeah, so then I applied to the role.
I think I wrote like a cover letter, but as part of like the interview process, I actually like, ’cause I learned a lot about what they wanted ’cause it was kind of a new role to write about Python where most of their other stuff was about cloud infrastructure before that. And I kind of scoped out like exactly what I would do. And I like, I did a lot of homework that I just like self -imposed, I think. But I think that made me really, stand out as part of the interview process ’cause like I already had a plan, like I already made like a 30, 60, 90, even further plan as part of that process. And yeah, I just, I mean, there was like certainly luck involved and like the people that I worked with were definitely humanities friendly. But like I put in a lot of work as part of that process, and that I think is what kind of helps me get into that position.
And then since then, I think, I’ve been learning a lot. I think that the way that you learn to learn in graduate school is something that is very valuable in general. It’s certainly something that has helped me throughout my career because I’ve learned like, you know, the language of the spaces that I’m in and how to like, how to like, what are the values, what are the goals and like kind of able to do like quick, quick, but meaningful research before I dive into something like in the one thing that I do like about the startup space,
which I think is well-suited to folks who have done like graduate training is that you wear a lot of hats and you learn a lot and you learn quickly. And I think that helps to keep motivation, which is something that I think is something that’s important to many of us who’d go into graduate studies.
And then at Chainguard. So after Digital Ocean, I became very interested in kind of like, people management and like strategic leadership in this tech startup space. So that’s kind of the position that I’ve been going towards. So leading teams and like trying to drive certain functions of an organization. So I kind of went into those positions at Digital Ocean. And then I went to Source Graph, which was a code search, another developer tool company. And then I went into Chainguard. And I joined Chainguard at the seed stage, which is before they have a, like a, one those bigger rounds of funding. And I’ve certainly learned a lot about VC stuff by being in this space. But like a lot of these tech startups, you know, they get money from investors versus them being profitable in the beginning. But of course, they want to be profitable. But I really was, I’m really interested in like the kind of these startups and businesses as like an organism. And I think think you know what’s what’s been exciting about being in this space and I think is something that maybe would resonate with other folks with graduate training is just that you’re able to like learn a lot you’re able to like analyze a lot, you’re able to see impact very quickly like when you’re working at a company that has 10 or 15 people like the work you’re doing is really important and it has like ramifications.
And then being able to kind of nurture that and like watch it grow and like build teams, build kind of plans and strategies as could be, could be like very meaningful. And I think people management actually itches the part of me that loves teaching. And I, I think about people management at like very much like as a as a teacher and as somebody who wants to support growth. So I feel like a lot of the like, you know, not that I don’t have itches for academic work as well. But I think some of those itches get scratched in the position that I’m in. And yeah, Chainguard being something that’s focused on software security, it feels like a net good thing. Like I, I think that there’s lots of meaningful work that has like positive implications for the public. And you know, that’s important to me too. Like I, you know, I don’t, I, I want to work for places that don’t feel like that they’re ethically like misaligned with what’s important to me. –
ROSE GLASS: Awesome, and so sorry, Jenny, the question was like, what steps did we take to get to our career?
FURLONG: Yeah, kind of what steps, ’cause I know you were coming from academic librarianship, Erin, at least at one point, which I know is something that folks with a digital humanities background are often curious about. So yeah just what what brought you to where you are now?
ROSE GLASS: Yeah um yeah so I think like you know from the moment I joined the PhD program I was pretty aware that uh that there wouldn’t necessarily be a tenure track job at the end of the road just because of the scarcity uh there.
So I think like very early on I um was sort of in in developing other skills alongside the PhD, particularly in digital technology, which worked really well given that I was also researching that. And so as a graduate center, I became involved in the Digital Fellowship program, which was really eye -opening and helped me think about technology at more of an institutional organizational scale.
And in that program, program, I was assisting with, you know, helping people build just different digital infrastructure to support researcher or teaching initiatives and then also helping teach some technical workshops. And I guess also advising folks on, you know, whether they were educators or researchers on different digital options. So that opened my eyes to sort of the broader ways of working in technology at an organizational level.
Although to be honest, I was still trying to get that tenure track job. I actually, I could put on the job market, maybe two or three years in a row and would almost get close or get something and then not quite. And that was when I was working as a librarian at UCSD. At UCSD, it was also really exciting, another moment to, you know, broaden the scale, broaden the horizons of what I was doing at an organizational level with technology. There, I had the opportunity to work with a lot of professional organizations at a national level, thinking about basically training up, you know, skilling up librarians and other practitioners and new tools. And then I also helped with early conversations with a new data science institute at UCSD.
It was really through, you know, my exposure to people like Lisa and Lisa in particular, being that you could actually take these kinds of skill sets, skill sets that I was practicing in an academic space, and apply them in a business space, and do it in a way that was actually really interesting, and that required research, required strategic thinking, and also something that you could bring your own values to. I didn’t necessarily really understand that. that at the beginning. I always thought tech was like, you know, just like weird tech bro land, we don’t want to go there. But again, like seeing people like Lisa do really interesting, meaningful work in that space really helped me become excited about that space. And it was actually through like Lisa’s own mentorship where I was able to make that switch.
So one thing I want to underscore and I don’t know if this is relevant to the group here is that the switch, you know, was challenging on, you know, a sort of technical level or skill set level. But for me, really, the main challenge was psychological, because I’d always seen myself as an academic person. And trying to like, let go of that identity and move into this other space was actually a big step for me. I thought it was going to be a big sacrifice. One thing I want to say to this group is actually, I’m so glad. It really broadened my, just who I am and my identity in really positive ways. So if you are scared about leaving the academic world, I think, yeah, I just want to encourage folks to explore because there are good things out there. there. –
FURLONG: So just a quick question following on that. Lisa, you mentioned joining Chainguard when it was more in sort of a seed space. Tell us a little bit about what it’s like working at a startup? What it’s like to work at a place that has started to grow? And how other students might be thinking thinking, if I get a job at a startup, how do I evaluate that opportunity? How do I get a sense of the, maybe the potential for success in a startup versus joining a larger kind of well established company where I know it will, it will probably be around. for a while? –
TAGLIAFERRI: Yeah, I think, you know, there’s certainly risks with, I mean, there’s risks with any business period. You know, there’s always like, you know, anti -monopoly lawsuits against big businesses, for example, and there’s layoff risks as well. I think I like the startup space, like as I alluded to just because I feel like you’re able to like wear a lot of hats. I think it may be easier to get people to understand the value you have to offer as somebody with graduate training, especially if that training is not in like a technical field or like, you know, there’s certain… non -technical startups as well, but I think there’s, you know, they’re not using an AI to evaluate resumes the way like Microsoft is, where they’ll just like weed you out and it will probably be easier to try to get face time with somebody there if you, you know, do your research, like we’re good researchers here. So like finding the right people to talk to maybe on LinkedIn who are in the orbit of a given startup and you know, trying to do your due diligence.
Like there’s there are with private companies, there’s not as much information as there are with public companies in terms of their financials. So you could look like there’s crunch base, which has information about funding. There’s also tools like levels.fyi that provide salary information. I would say that I would not sacrifice on like your base comp for equity when you don’t know if the company is going to do well. So the way that startup compensation usually works is you get base compensation, which is an annual salary, but they usually give you equity and some startups will try to give you more equity, you know, in hopes that this works out, which are their shares, they’re called options, because there’s no shares really yet, but their options for shares in the future, if there is some kind of exit, which would be either a either you get bought by another company or you have an IPO, which is great when you get listed on the stock market, or it could be that the company folds or that the founders decide to buy back all the shares or something like that. There’s a few different ways that things can exit, but if something like an IPO happens or you get sold to a bigger company then those shares could be worth money. But that is certainly like a gamble. And I would not, I mean, you know, to each their own. But I would advise that you should definitely index on the base compensation number,
especially when you’re not ready to kind of take a high risk position like that. But I would advise that you should definitely index on the base compensation number,
Yeah, there certainly are risks in startups. You kind of have to use, you know, all your, your own judgment and try to talk to, try to talk to the founders. You should be able to talk to the investors too. You could talk to people who are just like in that orbit. I think a lot of people, you know, asking for like a 15 minute informational interview with somebody like people usually like to talk about themselves and you could like if you approach it with, with, you know, kindness and tact, I think that a lot of people would be willing to talk to you. If you’re interested in a role that’s being advertised for a tech startup, you, I think it is worthwhile like for your first role to try to get in contact with somebody if you can. Otherwise, I would try to write a short, like, you know, we’re used to writing like very long cover letters, but a pretty short cover letter that kind of says like what your background is and what you could bring to the role, I think can help a lot.
And looking for startup jobs, I would advise looking at these venture funds. They usually aggregate jobs. So for example, there’s Sequoia that aggregates their jobs. There’s A16Z that aggregates jobs. So it’ll be their portfolio companies and the different jobs that are available in with them. The other thing is that it may be worth like trying to get your foot in the door in a startup because they will, like once they see the work you could do I think it’s much easier to be promoted in a startup versus it like somewhere like Google like there’s, you know bigger companies are just going to have bigger processes and if you are doing valuable work and you’re able to self -advocate you like I think that you could ramp up faster at a start because I think that’s like the big thing that happens when people do a career shift is like people often have to start like below their current experience level, especially if you don’t have like an internal advocate that understands what you’re bringing to the table so trying to identify those internal advocates, trying to self advocate on your own, and then like just putting like showing the work I think think really helps like, I think everybody and I have now hired a few people who have, you know, have PhDs in the humanities into the tech startup space and everybody is very impressed with their their work ethic and how much work they get done like I think, you know, the training that we receive in graduate school is just very valuable when it’s like directed in the way that like aligns with what the organization wants.
FURLONG: That’s great.
ROSE GLASS: Yeah I guess the only thing I would add Lisa’s comments or really just affirm is that startups yes there is risk but it is a really great opportunity if you’re trying to break into the industry and I hear that that’s tough for a lot of folks coming out of the PhD just because they, you know, their CVs or resumes don’t look like, you know, the ones that you would come across, you know, from someone who’s been in the industry for a while. So if you can get into a startup, even if it’s not like your ideal role, it’s a great place to, like Lisa said, try on a lot of different hats and if you work really hard and show people that you’re interested, you might be able to move around into different roles. And then even if that startup folds in a year or whatever, you now have the credibility to move around in that space.
Another piece of advice, and this might be obvious, you all might already know it, but if you are looking at sort of different roles or different companies or,
you know, different industry spaces, LinkedIn is really a great place to study the language. And like Lisa was saying, you know, you can use your your PhD or graduate training to go study and research the culture of the kind of job that you think you want. And I think language is a huge part of it because once you start reading people posting on LinkedIn in that space you’ll start to think about how you can use that language to frame all the all the accomplishments you’ve you’ve made in it as a graduate student or as an educator so that’s another thing I would I would recommend.
FURLONG: Everyone you know feel free to jump in if you have a question or drop your question in the chat. I don’t want to monopolize the opportunity to ask Erin and Lisa what you’re curious about. What are some of the challenges that you’ve all had as you’ve moved into the tech space or challenges that you see in general for someone who’s thinking about working in tech and just things they might weigh or think about? You know, we’ve all heard about the layoffs at large organizations and how they’re affecting the job market for many folks interested in tech. Yeah, what are your thoughts on that? And how has that kind of played out in your own career recently?
TAGLIAFERRI: Yeah, I think, I mean, there’s a big yes, there have been a lot of layoffs and I think they’ve gotten a lot of publicity. I think, like, especially like in the public consciousness overall, but like if you, yeah, if you compare it to like the academic world, I think there’s like a big difference in terms of like the scale of that. I think, like, it’s certainly if you, if you were to get a job at Google and not last a full year like I’m I’m sure it wouldn’t be as easy to get your your next tech job like if if they’re doing like a first in first out kind of layoff.
But I think that like, I think that graduate training also teaches some resiliency and that kind of building building like that portfolio of work, even if it’s like an unlimited timeframe will help you get like your next job, just getting like your foot in the door to begin with. And I will say that like layoffs are not always a bad thing, like in terms of like the scheme of somebody’s career, like sometime, like well, often you’ll get like a severance package and like extended health insurance and things like that. And a lot of companies will actually help you find your next role too with their internal recruiting team. And sometimes, in the moment, you don’t necessarily know what’s going to happen next, but in terms of the arc of your career, these are our little things overall. And being in the position to get your next opportunity could be like really valuable. So I think, sure, there’s like trepidation and it could be scary, but they usually give you some kind of cushion in the tech space, which is not always the case with more contingent roles. So I think it’s not, it could be like a net good thing even if it’s like not the best thing in the moment. And I think the first part of your question, again, Jenny, what was it?
FURLONG: Maybe just some of the challenges that you faced in the industry and how you’ve kind of managed those or things that students should know to expect about maybe some of the workplace culture or you’ve experienced or a work-life balance and things like that?
TAGLIAFERRI: Sure. Yeah, so I think there’s certainly, I think that there’s certainly issues with translation that I found like in terms of like translating my academic work. I think I’ve gotten better at it over time, just like as I’ve learned more about like the culture of like tech industry. But I think like in the beginning, it is hard to kind of self -advocate and find people who can like advocate for you at organizations because in many ways like, you know,
coming out of like graduate work, like you have a lot to offer, but it’s not a lot of people like even, you know, even with PhDs, even with postdocs and everything like that. It doesn’t resonate in a lot of spaces, including like the tech space. But I think in a lot of professional spaces, they think that it’s a lot of schooling and they don’t know the professional side of that work. And they don’t understand the research level you’ve done if you’re somebody who has done teaching like I think a lot of people don’t like truly understand of that.
Like, I remember one time I was talking to a recruiter who was asking me about my like, you know, the adjunct work that I had done. And she was asking like, well, how do we know that you’ll want to stay here and not go back to being an adjunct? And I was like, okay, like, you know, like, you can’t answer them with like the right answer because they just don’t understand that space at all. So it’s just like, oh, no, like I’m very dedicated to like this career. So don’t worry. But it’s just, yeah, there’s like a big dissonance between like what they understand about the graduate studies. And that could be very, that could be very challenging and frustrating even where you’re you know, you try to pull back the layers and it’s not always getting through.
And I think, yeah, in terms of, in terms of work life balance, I think it really depends on, like individual companies, I think it’s important, like as as adults to kind of make those boundaries. And I you know if the company that you’re working in does not respect the boundaries that you make, then it’s probably not the place that you should be in and you should consider going somewhere else.
I think when I, for myself joining like an early stage company, like it’s, I, you know, I want the company to succeed. So I have some self motivation to like maybe work more hours than like a 40 hour work week, but that should not be something that’s coming from outside of yourself. That should be like you should, if you have boundaries, if you have, you know, elder care, childcare, things that you can’t move around, like people, like the fellow adults that you work with should respect those. And if they don’t, then that’s a, that’s a red flag. And I think you could certainly ask about it in interviews and you can see what they say But I don’t know if anybody will give you the real picture there. Erin did you want to add anything?
ROSE GLASS: Yeah, I guess um another challenge that I think I felt at times when I certainly see other people coming from the academic side space and industry facing as imposter syndrome or the challenge of trying to figure out how you fit in. And the reason is like, you know, we might join one of these jobs and or one of these companies and it will seem like everyone else has just like known each other forever. They all have contacts across the industry.
They want to get something done. Oh, they just call up their friend at Amazon or they just call it, you know, like, and they’re like, what, like, I can’t. I don’t have that um and so uh you know or other things they’ll be like 30 year olds that are VPs and you’re like what what have I done with my life you know um so uh I think yeah if you if you do experience that know that that’s that’s it’s not just you a lot of people feel that but you know remind yourself that you have done a lot and you do have a lot to offer and it’s precisely the fact that you have experience that isn’t in that space you can you can contribute.
FURLONG: You know, I’m one thing I’m very curious about. And again, people can feel feel feel free to jump in with other questions. Erin, you’re based on the West Coast. Lisa, you’re based on the, wait, East Coast. What does a typical day look like for you? Is, and it’s everybody good with sound?
TAGLIAFERRI: Um, yeah, I’m good with sound though. Um, yeah, so I’ve been fortunate to work at companies that have been remote first, and so I’ve been able to work with people around the world, and I really enjoy that as well. And currently, my team ranges from Central European time to Pacific time. So we certainly have blocks of the day that are the best for cross -functional meetings. But I think it’s, you know, it’s usually a good thing to have that representation across the, you know, across the world like making sure that people are like serving the needs of their like own, like communities and like helping to inform like the business strategy to from like those different contexts.
I have a lot of meetings because I, I am in like a management position. So a lot of my days spent talking to people, sometimes chasing people down to to make sure things get things that are blocked get unblocked for people on my team.
FURLONG: So Lisa, are those just mostly meetings with your direct reports? Or are you doing a lot of meetings with your like the infrastructure above you as well?
TAGLIAFERRI: Yeah, so it’s a lot of cross functional meetings. So I report to one of the co-founders who’s the chief product officer. So I work very closely with like the go to market team, which consists of sales, marketing and customer success. I have lots of meeting with the engineering team and just cross functionally, like in in general, like the product team, we have a few meetings and then my team has one meeting a week and then the others, we have one -on -ones too. I write a lot of docs about things like plans and strategies and lots of analytics to make sure that things are going in the right direction.
FURLONG: Great. Erin, what does a typical day look like for you?
ROSE GLASS: A typical day, for me, I usually have several projects going and true to the startup culture, they’re often in kind of different spaces. So right now, one of the things I’m working on is developing a self -serve online course on securing the supply chain for AI and machine learning software. So that’s really fun, that involves a lot of research and then outlining, drafting, and also figuring out, it’s great to write a course, but really our purpose here is to get people to adopt our technology. So figuring out the strategy there, how do you link that educational resource to getting people interested and to try out our products.
Another project I’m working on is we launched some of our products on Docker Hub which is a container registry and so you know that involved sort of a lot of coordination just to get it launched but now that that is launched you know that you’re in another phase of just like tracking the usage of that that, trying to refine features, staying in touch with their team, the Docker team to see how you can sort of improve the experience or basically just try to figure out different ways to increase usage on that platform.
So those are two projects that involve some contact shifting and yeah, it involves, you know, a lot of writing and and creating strategy docs and meetings meeting with different functions in in the business like everything from up can you hear me still yeah yeah okay um you know meeting with folks in marketing you know to figure out how you’re gonna launch these things and you know what sort of blog posts are gonna do and what’s your social strategy to meeting with the engineers to make sure that you can can create whatever the product is that you’re launching and make sure everything’s going okay over there. It’s exciting because you’re talking to so many different people and working in so many different areas of the company. It can also be a little overwhelming because how do you make sure that everything’s moving on track? How do you keep things from flipping into the crack? So yeah, that’s that’s what a day looks like.
TAGLIAFERRI: One lot of things that I like, Erin, if you want to expand about it, it’s like you, you really like the product manager role because of its interdisciplinarity. And I wonder if you could talk a little bit about that.
ROSE GLASS: Yeah, that that’s a great point. It is very interdisciplinary in my I’m yeah, product management, you know, you are responsible for getting everyone to work together to create that project, launch that project, track that product’s success, and then continue to develop that product to, you know, make it even more successful. So that goal involves so many different disciplines, right? You need to, first of all, understand enough about engineering to know what’s possible, you know, how long is it going to take? Of course, you’re doing this in conversation with the engineers, but you should have some, you know, fluency and familiarity about the technology. And working with them to just figure out what the timeline is. How are they going to make this all work together? What are their needs? What are their blocks? You know, someone once told me that a big part of product management is really just making sure everyone’s unblocked. So yeah, so there’s that piece with the engineers.
There’s the piece with strategy too, right? As a product manager, you really need to know the landscape of the product that you’re launching. And you need to be pretty confident that there’s product market fit. That if you invest the company’s resources into developing this product, there are going to be people that want to use it. Right? So that involves like competitive analysis, just, you know, who else is offering products in this space? Why is yours going to be better? How are you going to make yours better? What’s the long term strategy here? How are you going to sustain this? You know, how much investment is it going to require to launch and maintain a product like that? And what are the risks, you know, what if this fails? Or are there legal risks? There are you know, even just soft risks. Like are you gonna piss off some company that you actually need to rely on as a partner?And you know that actually comes up more frequently than you think.
And then you know as I mentioned before marketing. That’s an important team to work with on this like how are you going to position your product? How are you gonna talk about it? What sort of language how do you make sure the whole company is on the same page in communicating this product’s value so that you don’t confuse prospects, customers, potential users and things like that. So yeah, like as Lisa said, it’s a very interdisciplinary area where you’re using your brain to think and strategize about all these things, but you also get to help build something. And I think that can be really satisfying to, you know. have an object, or I guess, not quite an object, a software object, you know, out in the world, after all this research.
LISA, AUDIENCE MEMBER: It’s good to see both of you, Lisa. And so I’m wondering, you know, along those lines, Erin, there’s there’s, and Lisa is capitalized on this too, the language is so different, you know, between going from academia, where there’s this kind of like, internal language, this cultural language of how we describe what we do. And then when you start looking at, you know, different kind of tech sector jobs, the language is just so vastly different, especially in terms of like the ways that they describe what kind of areas of work there are.
So could you talk a little bit about like some of those, like what are the sort of places to begin looking job titles to start looking at that could help you like bridge your academic work into the workplace in a in a tech sector that could then launch you on to something else, right? But what are some of the things that people could look for? Like, you know, just like skills that they use or even words that we use in academia that maybe translate differently, but are key terms in the job search process for the tech sector.
FURLONG: Before you both answer, I just want to highlight that there’s a little bit of a similar question in the chat to Lisa’s question. And that is,
can you highlight some non -technical roles that people with a humanities background might be a good candidate for? I’m not a developer by any means.
I can muck around in Python some light scripting, but it’s all pretty basic. So I think those two kind of things tie together. Like where do I find my launching pad? What title is used to describe it? What are the kind of roles or skills that you might need a little bit of to get started? –
TAGLIAFERRI: Yeah, so there’s, there are a lot of different job titles. I think that one way to get started kind of go about this is to find, find like software, like if it’s a tech company, you’re interested in joining, like find a software that you use today and look at their, their job ads. You could also look on LinkedIn to see people who maybe have done like humanities graduate work and see what’s doing now they’re doing now and what their job titles are.
I could you know, I could share with you like kind of lists of things like so if you’re interested in like more things on the teaching side. There are jobs that are called like technical curriculum developer, which would probably need various levels of technical prowess and if you’re more of a Python person, I would try to look in place like companies that use Python or like data science companies.
Data science, I think, I know that there has been a lot of work and especially like, I know the digital humanities program at CUNY does like data science classes too. And data science is another thing that the academic analytical training could be. used there. I’m not sure how that job market is like this moment ’cause I know there’s lots of like ML engineers kind of job titles, which is a little bit different. There is sales enablement, which is also kind of a teaching and facilitator kind of role that works between like often the product team and the sales team to kind of explain what the product is to help sales and sales is often not like in the weeds technical they even if they’re selling technical products so they’re it’s a sales enablement and anything that’s kind of under that role.
Developer relations is something that I have worked in a lot and that is also a kind of of the kind of glue work that’s between the company and the developer community. And there could be a lot of teaching there. There could be like demos. There could be giving talks, which is something that a lot of academics do. There could be writing as well. There’s also technical writing, which is how I started getting into this field which sometimes includes reference documentation and sometimes includes like kind of tutorials which is a little more like teaching I would say but there is like a big range and like the technical skill set that’s expected for technical writers and it kind of depends on like the job description and like what the place is.
The product manager role, I think it is a little hard to kind of get into that from scratch. Like I think Erin, and you could correct me, but like you put in some work in other spaces first and kind of advocated for yourself and like to great success. But yeah, something like that might be a little harder. There’s also technical program management which if you have a technical background could be useful as kind of herding engineering teams to get worked on. It’s like kind of sprint planning and like kind of scrum master stuff if anybody’s familiar with that. It’s lots of tracking things on Kanban boards and making sure that like deliverables that like leader leadership or customers or whoever wants are getting through.
There’s also learning and development roles, which is another kind of teaching focus role and that’s more for internal training and that could be technical training for an engineering team or it could be. It could be training with HR that’s more, more general kind of training. Whatever that may be for the specific company. I’m trying to ask you, is anything else popping out to you, Erin?
ROSE GLASS: Yeah, one other like just key term that relates to things you’ve talked about is customer education. I know you already talked about that space, but you could search for that too. And just a note there, you know, it doesn’t even necessarily need to be a tech product that you’re educating customers on. Like every company needs, you know, someone to create content and videos about how to use their hose or alarm system or, you know, what have you. So that’s, that’s one thing.
And then the other just general space that you, that I think humanity skills or PhD skills actually lend themselves well to this marketing, just because there’s so much writing and in that space. And so if you look at any, you know, you can Google this, but there’s a lot of different kinds of roles in marketing itself. So there’s people that are just product marketers. And that’s a space where you are doing that competitive analysis and trying to figure out, you know, how to formalize language around your product, which you then would give to sales -enabled enablement folks to train their salespeople about you know how to talk about it and then that language would also be used for advertisements or whatnot or just content marketing where you know you just end up writing a lot of content about topics that are relevant to your product you know just in order to get people to come to your website so I just think that that’s a space you have strong writing skills and research skills, there’s different roles there that might be interesting to you. Yeah, so in terms of interviewing and focus groups, there’s also user research, which I’m not sure the state of that field. I haven’t seen a lot of job postings for that, but user research and also UX. UX design and UX writing are all under that bubble. And I’ve seen more UX design and UX writing. And those definitely have that qualitative research component. User research I think is probably not prioritized as much as I think it should be in the startup space, but you would see that more in like bigger like enterprise. style companies, I think. –
FURLONG: Yeah, we’ve had a few, especially anthropologists go into UX over the past couple of years. So that’s been an interesting trend for our GC anthropologists. Well, Lisa, I know you have a super busy day. Erin, I’m sure you do too, but Lisa and I talked on the phone and she told me she had meetings back to back all day, including this one. Are there any last minute questions that people have, things that we didn’t cover, things that you’d like to hear more about if you guys have a minute or two more?
ANTILIO, AUDIENCE MEMBER: If it’s okay, I know we’re over time, but I have one question.
FURLONG:
ANTILIO: Sure. Hi, I’m Antilio. Antilio, and I’m a Master’s student in the data Analysis Visualization Department, and I do have an undergraduate background in the humanities, but I’ve been a software developer for 10 years, and I really miss doing the stuff that you mentioned and talk about. I was wondering if you’re seeing any more hybrid roles or how to get like back into like the big picture kind of area of like these kind of tech projects or things like that if that makes sense?
TAGLIAFERRI: Sorry, could you clarify?
ANTILIO: Yeah yeah sorry sorry. So I guess how to get back into like more roles where you do feel like you you use like your humanities research like maybe like teaching role like like teaching or like I honestly didn’t even know there were that many like educational roles within tech companies So that’s the kind of the basis of my question
ROSE GLASS: Yeah, I think the some of the roles Lisa and I in right technical let’s see technical curriculum developer. I’m just looking at the chat here and DevRel also if you really like teaching but you also love tech like DevRel is a great role. Going to conferences and giving demos and engaging with the community and tinkering on playing so that could be a nice space but I think it’s a challenge right? I mean probably in any career like figuring you know that like two -step like uh this makes sense like professionally but like this is more interesting to me and just like kind of crawling up the the mountain of whatever that is um I don’t know I haven’t unlocked uh that uh but Lisa do you have thoughts there?
TAGLIAFERRI: Yeah, I think I mean, there’s certainly for somebody who has like a technical background and like software engineering background, I think that they’re like these like roles like DevRel or like customer training or curriculum development, like they certainly do want those I would, I would just be upfront it like when you’re like talking to them about like, you know, I find that they, they as in like the companies tend to undervalue those roles. So I would be careful to make sure that they’re not undervaluing you, especially when you get to like compensation conversations, like to make it clear, like how, like how technical you are and what your experience is.
ANTILIO: That makes a lot of sense. Thank you. you to both.
FURLONG: Well, unless there are any last minute questions for Lisa and Erin, we will let them go on our way. And thank you both so much for having joined us. It’s always great to catch up with GC alums and to hear about their paths. And yeah, I’m so glad you’re able to join us. And yeah, please. Yeah. Yeah, I’m just glad to have hosted you both. And I hope you have a great afternoon and a great end to your morning, Erin, since you’re out on the West Coast. Thanks so much.
ROSE GLASS: Great to see you all.
TAGLIAFERRI: Thanks for having us and good luck. luck. Bye.

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