Jr. AI Engineer - Data Annotation
About Teleskope
Teleskope is redefining data security for the AI era with the only dedicated platform that combines precise visibility with automated remediation. Teleskope continuously scans, catalogs, and classifies data in-motion and at-rest while automating policy-based actions, helping organizations proactively manage data sprawl while securely enabling AI adoption.
Fresh off our $25 million Series A round, Teleskope is entering a high-growth phase backed by top-tier investors and exceptional product-market fit.
About the Role
We're looking for a hungry, hands-on AI Engineer to join our data science team. You'll do the work directly, labeling and reviewing classification data and running QC, but you won't just execute. You'll bring an engineer's mindset to it: when a task is repetitive, you script it; when quality is hard to measure, you build a way to measure it. You'll use Python, SQL, and agentic development tools to make annotation and QC faster, more consistent, and more scalable.
This is a rapidly evolving role, and we expect you to context switch comfortably as priorities shift. You'll work shoulder-to-shoulder with data scientists and ML engineers, people who think about data the way you do, and the labels and quality signals you produce feed directly into the models that protect real customers' most sensitive data. The work is high-impact and the data is messy; a big part of the job is learning, through the work itself, what it takes to make it usable.
This is a hybrid role requiring 3+ days in-office in New York City.
Who Should Apply
We're looking for someone with programming ability, dependability, and the drive to learn on the job. Recent grads are welcome, and CS and STEM backgrounds are a great fit. What matters most is that you can think critically, you're excited to work through messy data, you can context switch as priorities change, and you want to grow fast in a fast-moving environment.
What You'll Do
Do hands-on data annotation and quality control (labeling, reviewing, and correcting classification outputs) as a core member of the data science pipeline.
Take ownership of improving and scaling the process: find the bottlenecks, repetitive steps, and sources of error, and fix them with Python, SQL, and agentic workflows.
Build and run quality control checks that catch labeling errors, measure inter-annotator agreement, and surface systematic issues before they reach production.
Work closely with data scientists and ML engineers to close the loop between real-world performance and model improvement.
Context switch across labeling, quality analysis, scripting, and process work as priorities evolve.
Document QC processes and annotation guidelines to support team scaling and onboarding.
About You
Solid programming ability, with hands-on Python experience and a willingness to dig into scripts, SQL, and data wrangling.
Comfortable using agentic development tools, or eager to ramp up on them fast.
A quality-first mindset. You notice when something is off in the data and won't let it slide.
Dependable and adaptable. Teammates can count on you, and you stay effective as priorities shift.
Energized by messy, real-world data and by working alongside other data-minded people.
Hungry, self-directed, and ready to grow with Teleskope as we scale.
Nice to Have
Familiarity with feedback loops in ML systems and how label quality connects to model performance.
Experience with annotation platforms (Label Studio, Prodigy, Scale, or custom-built systems).
Familiarity with active learning or online learning approaches.
Experience with SQL and building lightweight dashboards to track quality metrics.
Background in NLP or text classification workflows.
What You'll Get
A seat alongside data scientists and ML engineers, data-minded people to learn from every day.
Work that visibly matters. Your labels feed the models that protect real customers' most sensitive data.
Ownership of the annotation and quality processes that determine classification accuracy across the platform.
Room to grow fast, with real ownership from day one as Teleskope scales.
A beautiful, well-stocked office in NYC's Financial District.
Flexible vacation and work-from-home days.
Competitive salary and meaningful equity.
Health, vision, dental, 401k, and more benefits, heavily subsidized by Teleskope.
What We Value
At Teleskope, we value builders who care about the details. This role is for someone who sees data quality not as a support function but as a force multiplier, and who takes pride in making the people around them more effective. We look for dependable teammates who ship iteratively, take ownership, and understand that great ML starts with great data.
Product Designer
About Teleskope
Teleskope is redefining data security for the AI era with the only dedicated platform that combines precise visibility with automated remediation. Teleskope continuously scans, catalogs and classifies data in-motion and at-rest while automating policy-based actions, helping organizations proactively manage data sprawl while securely enabling AI adoption.
Fresh off our $25 million Series A round, Teleskope is entering a high-growth phase backed by top-tier investors and exceptional product-market fit.
About the role
We are seeking a highly motivated Product Designer to join our team. As the sole product designer at Teleskope, you will own end-to-end design across all of Teleskope’s products. You will collaborate closely with our Product Management and Engineering leads to influence product direction and ship high quality experiences to our customer base.
This is a hybrid role requiring 3+ days in-office in New York City.
What You'll Do:
Lead the design process for 0->1 products, balancing user experience, feasibility, and business needs.
Translate ambiguous, complex and technical problems into intuitive experiences.
Conduct user research to deeply understand our users’ needs and inform product strategy and design decisions.
Partner cross-functionally with PMs, Engineering, Data Science, and customer-facing teams to help define the product direction and roadmap, and translate designs to implementation.
Build prototypes and lead activities to communicate product behavior to stakeholders and gain internal and external alignment.
Own, maintain and expand our design system and practices, holding our product to a high bar for design quality and craft.
From time to time, support design needs across the company, including Marketing & Brand Design.
About you:
3+ years of experience in product design.
Experience designing for data intensive, complex B2B workflows (data security experience is a plus).
Comfortable owning design end-to-end and working as sole designer in a fast-paced startup environment.
Ability to translate ambiguous and technical user needs to concrete requirements and intuitive design solutions.
What you'll get:
An opportunity to lead and evolve design at an early-stage startup in a fast-growing market.
Space to have a huge impact on the UI of a leading product in the data security space.
A beautiful office in NYC’s Financial District, with breakfast and snacks provided daily, and weekly catered lunch.
Flexible vacation and time off.
Competitive salary and meaningful equity.
Health, vision, dental, 401k and more benefits, heavily subsidized by Teleskope.
Founding Sales Development Representative
About Teleskope
Teleskope is redefining data security for the AI era with the only dedicated platform that combines precise visibility with automated remediation. Teleskope continuously scans, catalogs and classifies data in-motion and at-rest while automating policy-based actions, helping organizations proactively manage data sprawl while securely enabling AI adoption.
Fresh off our $25 million Series A round, Teleskope is entering a high-growth phase backed by top-tier investors and exceptional product-market fit.
About the Role
We're looking for our Founding SDR to build the outbound motion at Teleskope from the ground up. You'll set the playbook — cadences, signals, segmentation, AI workflows — that every future SDR runs on. This is a true builder role.
You're the right fit for this role if you are excited by joining an early-stage team and thriving in an autonomous and highly creative environment.
This is a hybrid role requiring 3-4 days in office in New York City.
What You’ll Do
Generate pipeline through thoughtful, multi-channel outbound — email, calls, LinkedIn, and the new channels you'll experiment with along the way
Engage with and qualify prospects in enterprise companies to understand their security challenges and set up meetings with Account Executives
Partner closely with marketing on lead gen, inbound follow-up, and field/event campaigns — you'll be a real voice in shaping how we run demand
Contribute to the development of prospecting strategies and messaging to effectively communicate Teleskope’s value proposition
Get creative with AI and GTM stack (Clay, Amplemarket, HubSpot, Sales Navigator, LLMs) to build workflows that research target accounts, map decision-makers, surface buying signals, and keep pipeline and reporting clean in HubSpot
Consistently hit or exceed weekly and monthly qualification and opportunity creation quotas
About You
1-3 years of experience in B2B SaaS sales, market development or lead generation (cybersecurity, data, or infrastructure a plus)
Hands-on with a modern GTM stack — Clay, Amplemarket, HubSpot, LinkedIn Sales Navigator, and AI tools (ChatGPT, Claude) for research, signal-spotting, and personalized outreach
Process-oriented and data-driven with a proven track record of meeting or exceeding quota
Strong communication and interpersonal skills with the ability to synthesize and explain complex concepts in a simple way
A customer-centric and results-oriented mindset
Have a can-do attitude and tons of hustle. You're the kind of person who finds a way — and you're already asking how quickly you can become a seller
Must be based in New York City
Willingness to travel for industry events
Nice to Haves:
Experience in security, privacy, or data governance domains
Experience in a startup environment is strongly preferred
What you'll get:
An opportunity to join an early-stage startup in one of today’s fastest-growing markets
A clear path to AE. This role is designed as the first step toward a closing seat with a real, defined path forward as you grow into it
A beautiful office in NYC’s Financial District, with breakfast and snacks provided daily, and weekly catered lunch
Flexible vacation and work-from-home days
Competitive salary and meaningful equity
Health, vision, dental, 401k and more benefits, heavily subsidized by Teleskope
Forward Deployed Engineer
About Teleskope
Teleskope is redefining data security for the AI era with the only dedicated platform that combines precise visibility with automated remediation. Teleskope continuously scans, catalogs and classifies data in-motion and at-rest while automating policy-based actions, helping organizations proactively manage data sprawl while securely enabling AI adoption.
Fresh off our $25 million Series A round, Teleskope is entering a high-growth phase backed by top-tier investors and exceptional product-market fit.
About the role
We are seeking a Forward Deployed Engineer who will be the technical face of Teleskope to our customers. You’ll operate across pre- and post-sales, sit between Go-to-Market and Engineering, support technical needs of customers in pilot, and serve as the dedicated technical resource for a large cohort of active subscription customers. The role requires hands-on engineering: writing bespoke integrations/automations, fixing customer-specific issues, and delivering production-ready technical solutions while building and maintaining strong relationships with our customers.
What you’ll do
Serve as the dedicated technical resource for a book of customer accounts, supporting core platform functionality as well as ancillary product needs to ensure an exceptional and consistent customer experience.
Work alongside Technical Account Managers to ensure success from conversion all the way through to renewal.
Collaborate with Product, Engineering, and Forward-Deployed SREs to ensure timely and accurate technical delivery.
Diagnose, triage, and implement fixes for customer-specific bugs; author reproducible fixes, tests, and PRs or produce clear remediation documentation when immediate code changes aren’t appropriate.
Build custom product features to address high-impact customer requests. Most of these will make it to the core product.
Support technically complex use cases by developing scripts, automation, custom integrations, and reports.
Conduct architecture reviews, technical deep dives, enablement sessions, and solution reviews for a range of personas — from individual contributors to senior security and engineering leadership.
Help drive the product roadmap by bringing the voice of the customer into planning meetings, prioritizing issues, and championing high-value feature requests to the Product team.
Produce clear technical documentation, runbooks, and handoffs for customers and internal teams.
About you
2+ years supporting enterprise customers in a hands-on technical role (Customer Engineer, Software Engineer, Technical Consultant, Technical Account Manager, or similar)
Strong scripting and programming skills (e.g., Python, Bash; experience with Golang/TypeScript is a plus)
Experience with cloud technologies and deployment tooling (AWS/GCP/Azure, Terraform, Kubernetes, Docker, CI/CD)
Bias for action and speed – you move fast, find creative solutions and aren’t afraid to disrupt the status quo
Proficiency using AI coding tools such as Claude, Cursor and/or Codex
Excellent communication skills and a consultative mindset — able to explain technical tradeoffs to both engineers and functional stakeholders.
BS/BA in Computer Science or equivalent experience.
Must be based in NYC (we work hybrid).
What you'll get
An opportunity to join an early-stage startup in one of today’s fastest-growing markets.
A chance to bridge your technical skills with business impact and direct customer exposure.
Room to learn, grow, and rapidly advance in your career as part of a growing team.
A beautiful office in NYC’s Financial District, with breakfast and snacks provided daily, and weekly catered lunch.
Flexible vacation and work-from-home days.
Competitive salary and meaningful equity.
Health, vision, dental, 401k and more benefits, heavily subsidized by Teleskope.
Machine Learning Engineer
About Teleskope
Teleskope is redefining data security for the AI era with the only dedicated platform that combines precise visibility with automated remediation. Teleskope continuously scans, catalogs and classifies data in-motion and at-rest while automating policy-based actions, helping organizations proactively manage data sprawl while securely enabling AI adoption.
Fresh off our $25 million Series A round, Teleskope is entering a high-growth phase backed by top-tier investors and exceptional product-market fit.
About the role
We are seeking a Machine Learning Engineer to strengthen our element classification system - working closely with data scientists and data annotators to ship and improve entity classification pipelines across varied data sources (text, documents, relational data, OCR, etc.). This role will bridge research experimentation and production implementation, helping evolve our current pipelines and advance toward our next generation element classification system.
This is a hybrid role requiring 3+ days in-office in New York City.
What You'll Do:
Lead a team responsible for building, maintaining, and scaling production ML pipelines for entity extraction and data element classification across diverse data types.
Partner with both analytics and ML-focused data scientists to translate experiments into deployed systems and unblock technical bottlenecks.
Implement evaluation, monitoring, and regression testing frameworks in collaboration with QC.
Drive incremental improvements to classification models and pipelines with a focus on measurable impact.
Advocate for and implement best practices around model deployment, versioning, and operational monitoring.
About you:
4+ years of experience building and deploying ML systems in production.
Strong experience with NLP systems and supervised entity classification models.
Comfort moving from research prototypes to CI/CD and production pipelines.
Proficiency in Python with common ML tooling.
Strong analytical instincts and problem solving under ambiguity.
Collaborative communicator who can partner across data science and engineering functions.
What you'll get:
A high-impact role at an early-stage startup in a fast-growing market.
Ownership over ML systems that directly power every customer workflow on the platform.
An opportunity to contribute to core ML systems that power our classification service.
A beautiful, well-stocked office in NYC’s Financial District.
Flexible vacation and work from home days.
Competitive salary and meaningful equity.
Health, vision, dental, 401k and more benefits, heavily subsidized by Teleskope.
What We Value:
At Teleskope, we value strong engineers who build real systems. We look for team members who combine ML depth with pragmatic execution, take ownership of critical infrastructure, and ship reliable solutions that deliver real-world security and privacy outcomes.
Enterprise Account Executive
About Teleskope
Teleskope is redefining data security for the AI era with the only dedicated platform that combines precise visibility with automated remediation. Teleskope continuously scans, catalogs, and classifies data in motion and at rest while automating policy-based actions, helping organizations proactively manage data sprawl while securely enabling AI adoption.
Fresh off our $25 million Series A round, Teleskope is entering a high-growth phase backed by top-tier investors and exceptional product-market fit. We’re expanding our go-to-market team to accelerate adoption across the world’s leading enterprises.
Our Values
Aligned at Our Core – We succeed together, as a team, through humility, openness, and thoughtfulness.
Relentlessly Ambitious – We take ownership, move fast, and hold ourselves accountable to excellence.
Adaptable by Design – We thrive in changing environments by staying scrappy, focused, and smart in how we work.
Customer-Obsessed – We put our customers at the center of every decision.
About the role
Teleskope is hiring Enterprise Account Executives to help scale our go-to-market organization during a major growth phase.
This is a true builder role. You'll own your territory from day one: generating pipeline, running complex enterprise sales cycles, managing technical evaluations, and closing strategic customers. You'll sell directly to CISOs and senior security leaders, working closely with our founding team and solutions engineers to shape deals and influence how we go to market.
We're looking for people who are energized by early-stage environments, take genuine ownership, and want to have influence inside a fast-growing company.
What you’ll do
Own the full enterprise sales cycle from prospecting through close
Build and manage territory pipeline through outbound, events, referrals, and executive networking
Run discovery, technical evaluations, pilots, commercial negotiations, and procurement processes
Sell directly to CISOs, security leaders, and enterprise decision-makers
Partner with leadership, product, and solutions engineering to win strategic accounts
Represent Teleskope at industry events, executive dinners, and within the security community
Maintain rigorous forecasting and CRM hygiene
Feed customer and market insights back into product and go-to-market strategy
Who you are
5+ years of quota-carrying SaaS sales experience, with at least 3 years in cybersecurity
Proven track record selling to enterprise security buyers — CISOs, VPs, and executive stakeholders
Full-cycle closing experience, including complex multi-stakeholder deals
Ability to generate pipeline independently
Track record of meeting or exceeding quota
Strong executive presence and communication skills
Comfort operating in fast-moving, early-stage environments
Nice to Haves
Experience with data security, DSPM, CSPM, DLP, or cloud security
Startup experience at a Series A or B company
MEDDIC or MEDDPICC experience
Existing relationships in the security community
Experience with land-and-expand sales motions
What you'll get
Meaningful equity in a fast-growing, Series A-backed startup
Competitive compensation with uncapped upside
Direct exposure to and collaboration with executive leadership
Real ownership over your territory and pipeline strategy from day one
Flexible work environment
Health, vision, dental, 401(k), and more benefits, heavily subsidized by Teleskope
The opportunity to help build the GTM playbook at a company shaping the future of AI and data security
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