account manager, partner success specialist, financial services and investors

data engineer

software engineer

senior data engineer

software engineer, full stack Jobs in New York

software engineer, full stack

account manager, partner success specialist, financial services and investors Jobs in New York

ai engineer pre series a startup

uiAgent

<div>
 
 
 Read carefully before you apply.
 
 
 
 
 
 
 We are a pre series a startup building AI Agents for CPAs/Accounting teams. We have significant traction, revenue, and huge upside potential.
 
 
 
 
 
 Looking to hire only the best of the best. You need to be disciplined, hard-working, and willing to sacrifice weekends for our bigger vision: disrupting an entire industry while helping many people along the way. Over the past 18 months building this product, we've become friends who enjoy each other's company, share dark humor, and find disruptive solutions to interesting coding challenges.
 
 
 
 
 
 
 We offer you:
 
 
 <ul>
 <li>
 Substantial equity
 </li>
 <li>
 Flat organizational structure
 </li>
 <li>
 Competitive salary (140k - 220k)
 </li>
 <li>
 Cash Bonus
 </li>
 <li>
 Free dinners
 </li>
 <li>
 Great equipment
 </li>
 <li>
 Healthcare, dental, vision, commuter benefits, and more!
 </li>
 <li>
 Amazing office in Manhattan with a skyline view
 </li>
 </ul>
 
 
 
 
 
 We're looking for:
 
 &nbsp;
 
 
 Engineers who started coding at a young age, are obsessed with clean code and innovative solutions, and are passionate about algorithms, logic, and mathematics. You'll work on integrating modern AI into an agent platform similar to LangChain with Python, and integrate open-source machine learning models. You'll also handle routine tasks like writing APIs for our Node.js backend. Familiarity with microservices, scalable architecture, and similar concepts is essential.
 
 
 
 
 
 
 Your day to day at uiAgent:
 
 
 <ul>
 <li>
 We work startup hours
 </li>
 <li>
 We have a 0% tolerance for side projects of any kind; we need you to be laser-focused on uiAgent.
 </li>
 <li>
 You'll get a lot of responsibility from day one.
 </li>
 <li>
 We don't allow remote work at all.
 </li>
 <li>
 We are very social with each other, going to dinners together, making a lot of jokes, and trying to enjoy each other's company.
 </li>
 <li>
 Dark humor is welcomed.
 </li>
 </ul>
 
 
 
 
 Looking forward to building this world-class company together.
 
</div>

ai engineer @ pre series a startup

Giga

<div>
 
 About Giga
 
 
 
 Giga has recently raised a $61M Series A and has several paying customers, including DoorDash. We&rsquo;re building the next generation of customer experience &mdash; real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world&rsquo;s largest enterprises.
 
 
 It&rsquo;s an exciting inflection point for the company. While we have been successful, we have larger ambitions. Our goal is to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. To achieve this, we need more great engineers.
 
 
 The work affects millions of people every day and our engineers have autonomy and make true impact. This opportunity is unique because we have brilliant founders, have found commercial success, and see a clear path to becoming a generational company. Some further info about us:
 
 
 <ul>
 <li>
 Voice AI startup Giga raises $61M Series A
 </li>
 <li>
 DoorDash and Giga Partnership
 
 
 </li>
 </ul>
 Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply!
 
 
 
 The Role
 
 
 
 We're looking for new grad engineers to help build the systems that power our AI agents. You'll work across the backend, from data pipelines and integrations to agent infrastructure, shipping features alongside experienced engineers.
 
 
 This is a role where you'll contribute to real problems from day one. We expect you to ramp up quickly, take ownership of your work, and operate with increasing independence as you learn the codebase.
 
 
 
 What You'll Work On
 
 
 
 You'll contribute to projects across our stack. Some examples:
 
 
 <ul>
 <li>
 Atlas: Building features for our AI assistant: charts and alerts in Slack, natural language queries, and expanding Atlas to manage platform resources
 </li>
 <li>
 Activity Stream: Log visualization with filters, timestamps, and frequency charts to give visibility into agent behavior
 </li>
 <li>
 Dynamic knowledge: Adding time-based knowledge (like ongoing incidents) that auto-updates from sources like status pages
 </li>
 <li>
 Agent memory: Conversation awareness and recent interaction lookups so agents remember context across sessions
 
 
 </li>
 </ul>
 You'll be paired with senior engineers on larger initiatives while also owning smaller projects end-to-end as you ramp up.
 
 
 
 You Might Be a Fit If You
 
 
 
 <ul>
 <li>
 Are graduating (or recently graduated) with a CS degree or equivalent background
 </li>
 <li>
 Have internship experience or significant projects where you wrote production-quality code
 </li>
 <li>
 Can take a problem, figure out an approach, and unblock yourself when you get stuck
 </li>
 <li>
 Prefer shipping over perfection but still care about quality
 </li>
 <li>
 Want to work at a startup where you'll have real responsibility early
 
 
 </li>
 </ul>
 
 Perks &amp; Benefits
 
 
 
 <ul>
 <li>
 Catered lunch daily
 </li>
 <li>
 Dinner stipend
 </li>
 <li>
 $150/month wellness benefit (gym, fitness classes, mental health)
 </li>
 <li>
 401(k) plan
 </li>
 <li>
 Commuter benefits
 </li>
 <li>
 Medical, dental, and vision coverage
 
 
 </li>
 </ul>
 Giga is an equal opportunity employer. We're committed to providing equal employment opportunities regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.
 
 
 Compensation Range: $160K - $250K
 
 
</div>

Software Engineer (New Grads) -  New York

Canals

<div>
 
 About Canals
 
 
 
 Canals is a fully remote, profitable startup transforming the industrial supply chain ($10T industry) with AI. Our platform seamlessly integrates with the systems distributors already use, automating tedious tasks and reducing failure points in moving physical goods across the globe.
 
 
 We&rsquo;re a 80-person team (~50 in engineering), located across North and South America.
 
 
 The Opportunity
 
 
 Canals is scaling quickly. Revenue is growing, headcount is growing, and the financial complexity of the business is increasing with it. We&rsquo;re looking for a Head of Finance who can bring clarity, discipline, and strategic thinking to everything finance-related &mdash; while staying deeply hands-on.
 
 
 This is not a &ldquo;manage a big team&rdquo; role. It&rsquo;s a build-and-own role.
 
 
 You will be the keeper of the financial model, the steward of our books, and a strategic partner to the CEO. You&rsquo;ll help us answer questions like:
 
 
 <ul>
 <li>
 How fast can we hire while remaining profitable?
 </li>
 <li>
 What happens if we invest in X?
 </li>
 <li>
 What would an acquisition mean for our runway?
 </li>
 <li>
 Where are we structurally inefficient?
 </li>
 <li>
 What should we be measuring that we aren&rsquo;t today?
 
 
 </li>
 </ul>
 You&rsquo;ll operate at both altitudes: strategic finance and blocking-and-tackling execution. We want someone humble enough to get their hands dirty, but strong enough to influence company-level decisions.
 
 
 This role reports directly to the CEO and will play a key role in board communication and company planning.
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Own the company&rsquo;s financial model end-to-end.
 </li>
 <li>
 Build, maintain, and evolve a clear forward-looking model that enables scenario planning, hiring projections, profitability analysis, and capital allocation decisions.
 </li>
 <li>
 Oversee accounting, taxes, and books and records.
 </li>
 <li>
 Partner with external firms where appropriate, but maintain accountability for accuracy, completeness, and timeliness.
 </li>
 <li>
 Lead FP&amp;A and strategic planning.
 </li>
 <li>
 Translate financial data into insight. Identify trends, risks, and opportunities. Bring clear recommendations &mdash; not just numbers.
 </li>
 <li>
 Partner closely with go-to-market leadership.
 </li>
 <li>
 Support sales compensation planning, revenue forecasting, invoicing processes, collections, and customer-facing financial workflows.
 </li>
 <li>
 Own financial reporting and board preparation.
 </li>
 <li>
 Prepare quarterly financials and present results clearly and confidently to leadership and the board.
 </li>
 <li>
 Improve operational finance systems and processes.
 </li>
 <li>
 Ensure we&rsquo;re using the right tools and workflows for a fast-growing SaaS company. Leverage automation and AI where appropriate to operate lean without sacrificing rigor.
 </li>
 <li>
 Manage working capital and cash discipline.
 </li>
 <li>
 Monitor burn, profitability, collections, and vendor payments with precision.
 </li>
 <li>
 Bring sound judgment in scrappy environments.
 </li>
 <li>
 Know when something materially matters &mdash; and when it doesn&rsquo;t.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 8+ years of experience in early-stage startup environments (pre-Series B or into Series B strongly preferred).
 </li>
 <li>
 Must have worked closely with a founder CEO.
 </li>
 <li>
 Strong financial modeling skills. You should be able to build and defend a sophisticated operating model without relying on others.
 </li>
 <li>
 Experience overseeing accounting, taxes, and books &mdash; even if execution is outsourced.
 </li>
 <li>
 Comfort operating as a lean finance function (e.g., VP + one additional team member or external support).
 </li>
 <li>
 Experience partnering with revenue organizations (sales comp, forecasting, invoicing, collections).
 </li>
 <li>
 Ability to present financial results clearly to executive leadership and board-level audiences.
 </li>
 <li>
 High ownership mindset. You don&rsquo;t wait to be told what to fix.
 </li>
 <li>
 Comfort with ambiguity, scrappiness, and imperfect information.
 </li>
 <li>
 Strong judgment &mdash; you know which risks require rigor and which don&rsquo;t.
 </li>
 <li>
 Experience in SaaS is preferred. Familiarity with SaaS metrics (e.g., retention, gross margin, Rule of 40) is a plus but not mandatory if you&rsquo;re sharp and adaptable.
 </li>
 <li>
 Experience with M&amp;A is a nice-to-have, not required.
 </li>
 <li>
 Comfort exploring how AI and automation can improve finance and accounting efficiency.
 
 
 </li>
 </ul>
 
 
 Why Join Canals
 
 
 
 
 <ul>
 <li>
 We're profitable: stability without the chaos or pivots.
 </li>
 <li>
 Real-world impact: your work improves global supply chains, saving customers time and reducing waste.
 </li>
 <li>
 Strong engineering culture: we invest in quality and documentation to keep moving fast sustainably.
 </li>
 <li>
 Culture of ownership: moving fast while putting quality first
 </li>
 <li>
 Remote-first, flexible work environment across North and South America.
 </li>
 <li>
 Stellar product-market fit with tons of customer love
 </li>
 <li>
 All star team with diverse backgrounds to collaborate with and learn from
 
 
 </li>
 </ul>
 
 Canals.ai is an equal opportunity employer. In addition to EEO being the law, it is a policy that is fully consistent with our principles. All qualified applicants will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status such as race, religion, color, national origin, sex, sexual orientation, gender identity, genetic information, pregnancy or age.
 
 
 
</div>

VP Finance

Sigma Computing

<div><h3 class="jobSectionHeader">About the Role</h3>

We are hiring a Senior, hands-on Cloud Security Engineer to secure a large-scale, cloud-native SaaS platform. This is an engineering-first role for someone who builds security solutions&mdash;not just manages tools.

You will be a SME for cloud security architecture across platform, IAM, network, workload, data, and AI enablement, and partner with Engineering, Security, and Product to implement scalable controls that support business growth. You'll design secure architectures, embed controls into infrastructure-as-code, and build automated guardrails so teams can move fast without waiting on manual security approvals.

We're looking for a builder-defender who thrives in complex cloud environments, automates aggressively (&quot;let the robots do the work&quot;), and can scale cloud security for a fast-moving SaaS company.
<h3 class="jobSectionHeader">
What You'll Do</h3>
<ul><li>Architectural Leadership: Partner deeply with infrastructure and engineering teams to embed security into development workflows, leading high-level technical discussions to guide security efforts and strategic priorities.</li>
<li>Multi-Cloud Engineering: Design, implement, and continuously improve Sigma Cloud Security across AWS, GCP, and Azure environments with architect-level technical depth.</li>
<li>Threat Modeling &amp; IR: Conduct cloud threat modeling and demonstrate hands-on experience in Cloud Incident Response, including investigating and remediating malicious activity within cloud environments.</li>
<li>Identity &amp; Access: Build IAM and privileged access strategy (RBAC/ABAC, federation, least privilege, cross-account access), eliminating standing privilege and long-lived credentials. Develop and enforce IAM best practices, including zero-trust models and privileged access controls across IaaS and SaaS.</li>
<li>Drive cloud data security controls including classification, encryption/KMS, masking/tokenization, access governance, retention/deletion, and exfiltration risk reduction across APIs and data pipelines.</li>
<li>Develop automated remediation workflows for recurring cloud misconfigurations, drift, and policy violations to reduce manual effort and response time.</li>
<li>Security Stack Management: Deploy and manage cloud-native services (CSPM, CNAPP, DSPM, SIEM, DLP, WAF, Kubernetes, and container security).</li>
<li>Network Defense: Review and apply zero-trust principles through strict network segmentation, authentication, and authorization.</li>
<li>Automation: Develop sophisticated signatures/rules for cloud security and automate detection and response workflows.</li>
<li>AI : Use AI securely and effectively to scale security practices and improve team efficiency.</li>
<li>Continuous Evolution: Stay ahead of threats by leveraging intelligence, attack simulation, and red/blue team learnings.</li>
</ul><h3 class="jobSectionHeader">What We're Looking For</h3>
<ul><li>Minimum 7+ years in Security roles with at least 5+ years focused on Cloud security engineering,IAM, and Data security</li>
<li>Bachelor's or Master's degree in Computer Science, Cyber Security, or a related field.</li>
<li>Deep technical expertise in cloud architectures AWS/Azure/GCP; including IAM, networking (VPCs, security groups, PrivateLink), and native security services is strongly desired.</li>
<li>Strong infrastructure-as-code skills&mdash;you write Terraform professionally, not just read it.</li>
<li>Advanced understanding and experience with container security, Kubernetes, and secure CI/CD pipeline design</li>
<li>Proven ability to demonstrate incident response experience specifically related to cloud-based malicious activity and breach remediation.</li>
<li>Advanced Cloud IAM expertise: federation, SSO, PAM/JIT access, service identities, and least privilege design.</li>
<li>Strong background in cloud network security (segmentation, private connectivity, egress controls, WAF).</li>
<li>Strong proficiency in scripting languages (e.g., Python, Go, PowerShell) for automation, data analysis, and security tooling development.</li>
<li>Strong knowledge of security platforms such as CNAPP (Wiz), WAF (Cloudflare), SASE (Netskope)</li>
<li>Demonstrated ability to lead cloud/saas architecture reviews and influence senior engineering stakeholders.</li>
<li>Experience securing data platforms (nice to have) - Snowflake, Databricks, BigQuery etc.</li>
<li>Experience in high-growth SaaS or data platforms Organizations (nice-to have)</li>
<li>Prior experience in Platform Engineering, DevSecops or similar (nice-to have)</li>
<li>Certifications (Preferred): Professional-level cloud certifications are required, such as:</li>
<li><ul><li>AWS: Certified Security &ndash; Specialty or Solutions Architect &ndash; Professional.</li>
<li>GCP: Professional Cloud Security Engineer or Professional Cloud Architect.</li>
<li>Azure: AZ-500 (Security Technologies) or AZ-305 (Solutions Architect).</li>
</ul></li>
</ul>Why Sigma?

At Sigma, security is at the core of our mission. We power insights and innovation for our customers, and protecting their data is our highest priority. As a Senior Security Engineer, you will have the autonomy to shape our Security Engineering strategy, access to cutting-edge technologies, and the opportunity to solve real problems at scale.

Join us and be part of a security team that values collaboration, innovation, and resilience&mdash;while giving you the room to grow, lead, and leave your mark on Sigma's security journey.

Additional Job details

The base salary range for this position is $210k - $240k annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.<div><h4 class="jobSectionHeader">
About us:</h4>

Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences.

Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company's Series C round three years ago, promises to further accelerate Sigma's growth.
Come join us!
<h4 class="jobSectionHeader">
Benefits For Our Full-Time Employees:</h4>
<ul><li>Equity
</li><li>Generous health benefits</li>
<li>Flexible time off policy. Take the time off you need!</li>
<li>Paid bonding time for all new parents</li>
<li>Traditional and Roth 401k</li>
<li>Commuter and FSA benefits</li>
<li>Lunch Program</li>
<li>Dog friendly office</li>
</ul>
Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow.

Note: We have an in-office work environment in all our offices in SF, NYC, and London.

Our Privacy Practices
When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma's Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to USA, the UK, and Canada).

Sigma's use of AI
This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.</div></div>

Senior Security Engineer II – Cloud & Data Security

PermitFlow

<div>
 PermitFlow is redefining how America builds. We&rsquo;re an applied AI company serving the nation&rsquo;s builders, tackling one of the largest information challenges in the economy: understanding
 
 what can be built, where, and how
 
 . Our AI agent workforce helps the fastest-growing construction companies navigate everything from permitting and licensing to inspections and project closeouts &ndash; accelerating housing, clean-energy, and infrastructure development across the country.
 
 
 Despite being a $1.6T industry, construction still suffers from massive delays, wasted capital, and lost opportunity. PermitFlow has already delivered unprecedented speed, accuracy, and visibility to over $20B in development, helping contractors reduce compliance time, de-risk projects, and scale with confidence.
 
 
 As the U.S. enters a new capex supercycle across data centers, factories, housing, and renewables, joining PermitFlow means building the AI infrastructure at the core of every construction project driving the next wave of reindustrialization.
 
 
 We&rsquo;ve raised over $90M, most recently completing our Series B, from top-tier investors including Accel, Kleiner Perkins, Initialized, Y Combinator, Felicis, and Altos Ventures, with backing from leaders at OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, and Uber.
 
 
 
 Our HQ is in New York City with a hybrid schedule (3 in-office days per week). Preference for NYC-based candidates or those open to relocation.
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Transform complex, manual permitting workflows into seamless, AI-enabled software experiences
 </li>
 <li>
 Design and implement backend and frontend services, APIs, and data pipelines to support AI-driven workflows
 </li>
 <li>
 Partner cross-functionally with Operations, Customer Success, and Sales to deliver intelligent, user-facing features
 </li>
 <li>
 Work directly with users to shape product direction and rapidly ship features that drive impact
 </li>
 <li>
 Own features end-to-end, from architecture and implementation to testing and production deployment
 </li>
 <li>
 Help establish engineering best practices and contribute to a culture of technical excellence
 
 
 </li>
 </ul>
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 Must have a graduation date within 12 months of applying, or have already graduated
 </li>
 <li>
 Strong experience in fullstack development, ideally including time at a startup or fast-moving team
 </li>
 <li>
 Comfortable owning features across frontend, backend, and data layers
 </li>
 <li>
 Experience with React, TypeScript, Node.js, and Postgres, or ability to learn quickly
 </li>
 <li>
 Track record of shipping production systems and making thoughtful trade-offs for speed, reliability, and scalability
 </li>
 <li>
 Excitement for AI-powered tools that solve real-world construction challenges and a customer-first mindset
 
 
 </li>
 </ul>
 What We Offer
 
 
 <ul>
 <li>
 Competitive salary and meaningful equity in a high-growth company
 </li>
 <li>
 Comprehensive medical, dental, and vision coverage
 </li>
 <li>
 Flexible PTO and paid family leave
 </li>
 <li>
 Home office &amp; equipment stipend
 </li>
 <li>
 Hybrid NYC office culture (3 days in-office/week) with direct access to leadership
 </li>
 <li>
 In-Office Lunch &amp; Dinner Provided
 
 
 </li>
 </ul>
 
 PermitFlow provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, gender expression, or family status, as protected by applicable law.
 
 
 
 
 We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. All employment decisions are based on merit, qualifications, and business needs.
 
</div>

Fullstack Software Engineer, New Grad

Guidde

<div>
 
 About Guidde
 
 
 
 Guidde is an AI digital adoption platform that serves as the creation and consumption hub for modern organizations. Founded in 2020 by seasoned entrepreneurs, we use generative AI to transform workflows into rich, multi-format documentation in minutes. Our platform helps teams scale knowledge across employees, customers, and even AI systems, turning everyday processes into instant, in-app video guiddes that live where work actually happens.
 
 
 More than 4,500 organizations worldwide, from fast-growing startups to Fortune 500 enterprises, rely on Guidde to reduce support load, accelerate onboarding, and make knowledge accessible on demand.
 
 
 We&rsquo;re building the future of how knowledge is created, shared, and experienced.
 
 
 The Ideal "Guidder" is like our platform - clear, impactful, and focused on delivering value. We blend a startup environment with sports team principles - strategic in planning, collaborative in execution, and obsessed with customer wins. We value doers who listen more than they talk and who show up ready to play their best game. Ready to make your mark on our roster? Go Guidde!
 
 
 This is a hybrid role based in our amazing NYC office, combining the energy of in-person collaboration with the flexibility to do your best work.
 
 
 If you are a strategic GTM talent partner who thinks in systems, not searches, gets energized by building exceptional cultures from the ground up, loves partnering with executives to shape go-to-market organizations globally, and wants to be part of the founding HR team defining what world-class talent acquisition looks like &mdash; then your place is with us.
 
 
 
 What will you Do?
 
 
 
 <ul>
 <li>
 
 Own global GTM talent strategy
 
 - design and execute talent acquisition for Sales and Customer Success roles across NYC and Israel, ensuring we attract exceptional GTM talent worldwide
 </li>
 <li>
 
 Partner with executive leadership
 
 - collaborate closely with US executive team and global leaders to understand business strategy and translate it into talent priorities
 </li>
 <li>
 
 Build strategic talent intelligence
 
 - develop deep market insights on GTM talent landscape, competitive positioning, and what makes top performers choose early-stage companies
 </li>
 <li>
 
 Shape exceptional culture
 
 - serve as founding member of global HR team, building talent practices and experiences that attract and retain world-class people
 </li>
 <li>
 
 Design scalable talent systems
 
 - create frameworks and processes that enable predictable, high-quality hiring as we scale across markets
 </li>
 <li>
 
 Drive talent brand and positioning
 
 - elevate Guidde's presence in the GTM talent market, making us the destination for ambitious sales and CS professionals
 
 
 </li>
 </ul>
 
 What You'll Need to Thrive in?
 
 
 
 <ul>
 <li>
 
 5+ years of strategic talent acquisition experience
 
 - proven track record building and scaling GTM organizations in high-growth SaaS or startup environments
 </li>
 <li>
 
 Executive partnership
 
 - ability to work with leadership level, understand business strategy, and translate it into talent strategy and execution
 </li>
 <li>
 
 Global talent perspective
 
 - experience hiring across multiple markets and understanding cultural nuances in talent acquisition
 </li>
 <li>
 
 Strategic thinking and systems design
 
 - focus on building frameworks, processes, and long-term approaches rather than transactional hiring
 </li>
 <li>
 
 Culture architect mindset
 
 - passion for building exceptional workplace cultures and talent experiences from the ground up
 </li>
 <li>
 
 Market intelligence expertise
 
 - deep understanding of GTM talent landscape, competitive dynamics, and what drives top talent decisions
 
 
 </li>
 </ul>
 
 Bonus points if you have:
 
 
 
 <ul>
 <li>
 Experience as a founding HR/TA team member at early-stage startups (Series B/C)
 </li>
 <li>
 Background building talent acquisition functions from scratch across multiple geographies
 </li>
 <li>
 Track record elevating employer brand and talent market positioning
 
 
 </li>
 </ul>
 
 Your journey with Guidde
 
 
 
 <ul>
 <li>
 
 Leave Your Mark:
 
 Contribute meaningfully to our growth story.
 </li>
 <li>
 
 Work Your Way (Hybrid):
 
 Enjoy a flexible work arrangement based in NYC.
 </li>
 <li>
 
 Innovate Together:
 
 Be part of a collaborative and forward-thinking team.
 </li>
 <li>
 
 Fuel Your Growth:
 
 Access opportunities for professional development and advancement.
 </li>
 <li>
 
 Your Value Matters
 
 : Receive a competitive compensation and benefits package.
 </li>
 <ul>
 <li>
 We offer for this position a salary range of $100,000 OTE - $150,000 OTE
 
 </li>
 </ul>
 </ul>
 We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you&rsquo;re excited about a role but your past experience doesn&rsquo;t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you&rsquo;re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
</div>

Talent Acquisition Growth Partner

VectorShift

<div>
 VectorShift (YC S23) is building the AI enterprise workflow automation. We convert complex, manual processes into fully automated AI systems that scale across global teams.
 
 
 
 About The Role
 
 
 
 As an AI Engineer, you will work across our core AI infrastructure &mdash; from multi-agent systems and RAG pipelines to evaluation frameworks and production deployment. You'll ship AI-powered features that clients rely on daily, ensuring they're performant, reliable, and secure. This is a high-ownership role where you'll contribute across the full stack: backend APIs, data pipelines, frontend interfaces, and cloud infrastructure.
 
 
 You'll report directly to the founders and collaborate closely with a tight-knit engineering team building product with real urgency and craft.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and deploy AI-powered features in production, including RAG systems, multi-agent orchestration, and evaluation frameworks
 </li>
 <li>
 Own backend services and APIs end-to-end (Python / FastAPI / Django)
 </li>
 <li>
 Build data pipelines for model training, evaluation, and continuous improvement
 </li>
 <li>
 Collaborate with founders, product, and design to ship high-impact features
 </li>
 <li>
 Ensure scalability, performance, and security across the platform
 </li>
 <li>
 Contribute to engineering best practices, code quality, and technical decision-making
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 2+ years of professional software engineering experience
 </li>
 <li>
 Hands-on experience building and deploying AI/ML applications in production environments
 </li>
 <li>
 Solid understanding of relational databases and data modeling
 </li>
 <li>
 Experience with cloud infrastructure, containerization (Docker, Kubernetes), and CI/CD pipelines
 </li>
 <li>
 Familiarity with RAG pipelines, LLM orchestration, or AI agent architectures
 </li>
 <li>
 Experience with Git and collaborative development workflows
 </li>
 <li>
 Familiarity with LLM evaluation techniques and tools for measuring reliability
 </li>
 <li>
 Strong problem-solving instincts and a bias toward shipping
 
 
 </li>
 </ul>
 
 NICE TO HAVE
 
 
 
 <ul>
 <li>
 Experience working in or building for large enterprises
 </li>
 <li>
 Prior startup experience or comfort operating in high-ambiguity environments
 
 
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 What We Offer
 
 
 
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 Direct founder access &mdash; report directly to the founding team and shape the product from the inside
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 Competitive compensation &mdash; salary + meaningful equity in a high-growth company
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 High-impact work &mdash; build AI infrastructure used daily by top enterprises
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 Speed and ownership &mdash; small team, fast cycles, real responsibility from day one
 
 
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 What To Expect
 
 
 
 This role is not for everyone. The work is hard, the pace is fast, and priorities will shift as we learn from the market and our clients. You need to be comfortable with ambiguity and energized by building something that hasn't been built before.
 
 
 We're assembling a small team of exceptionally talented, tenacious people who care deeply about the craft of building great software. If that's you &mdash; and you're at the point in your career where you want to make a defining contribution &mdash; we'd love to hear from you.
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AI Engineer

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