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Requirements:
5+ years of professional iOS development with demonstrated expertise in Swift - Must
Proven programming experience 5+ years with Java - Advantage
Experience with SwiftUI, Combine, and modern iOS development practices
Led and delivered complex projects from design phase to deployment and support
Strong sense of ownership demonstrated through shipping production-quality code equipped with testing, monitoring and documentation
Excellent communication skills working with stakeholders and domain experts across the company to design solutions to user problems.

Requirements:
Core Engineering & AI Frameworks
Strong proficiency in Python and Bash scripting.
Deep experience with PyTorch and the Hugging Face ecosystem.
Experience using AI coding assistants natively in the terminal, specifically Claude Code, to accelerate development workflows.
LLMs, Inference & Agents
Proven experience deploying models using vLLM, TGI, or similar high-performance inference servers.
Strong fundamental understanding of LLM architectures, attention mechanisms, and generation parameters.
Hands-on experience building Agentic systems (ReAct, function/tool calling, RAG).
Expertise in fine-tuning strategies (e.g., SFT, RLHF, DPO) and parameter-efficient techniques (PEFT/LoRA).
Statistics & Model Evaluation
Offline Metrics: Deep understanding of classification/summarization metrics (Precision, Recall, F1, AUC) and retrieval metrics (MRR, NDCG, Precision/Recall @ k).
Online Metrics & A/B Testing: Strong statistical foundation to design and analyze A/B tests safely, including the use of t-tests, Mann-Whitney U tests, and bootstrapping techniques.
Bonus Points
Containerization & Orchestration: Experience with Ray for orchestrating large-scale model deployments across multi-GPU clusters.
Model Quantization: Experience with memory optimization techniques like AWQ, GPTQ, GGUF, or FlashAttention to fit 70B models efficiently onto hardware.
API Development: Proficiency in building robust, asynchronous microservices using FastAPI to serve model requests.
Knowledge of Data Engineering principles: dataset collection, cleaning, processing, and scalable storage.

Requirements:
4-7+ years of experience in Product Growth, Growth Engineering, or Product Management with a heavy growth focus.
A "Full-Stack" Growth Mindset: You are equally comfortable writing a technical PRD, analyzing a SQL query, and critiquing a UI layout.
Proven Track Record: You have successfully moved the needle on North Star metrics like CAC, LTV, or Activation Rates in a fast-growing B2C or Prosumer SaaS environment.
AI Fluency: Familiarity with how LLMs and personalization engines can be leveraged to drive user engagement.
Execution Excellence: You thrive in the "doing." You are known for your ability to ship quickly, learn from failure, and iterate fast.
Tooling Mastery: Expertise in the modern growth stack (e.g., Amplitude, Mixpanel, Optimizely, or Braze).

Requirements:
5+ years of PMM excellence: Proven experience in end-to-end product marketing for B2B/B2C products, ideally within a fast-paced tech environment.
Native English speaker: Exceptional storytelling, copywriting, and verbal communication skills are non-negotiable. You must be able to articulate a vision that feels personal and intuitive.
AI savvy and quality obsessed: Experience integrating AI tools into your workflow to streamline research and content generation. You know how to prompt for efficiency while maintaining a high "quality bar" for the final output.
Community and user advocacy: Deep experience in "listening" to the market. You know how to leverage customer communities to gather insights and turn users into brand champions.
Presentation and design literacy: Expert-level ability to build narrative-driven decks. You can take a complex concept and turn it into a simple story that wins over both users and executives.
Stakeholder management: Demonstrated ability to influence executives and navigate complex cross-functional environments to get products to market.

Requirements:
The "Developer's Developer": You are a Senior Software Engineer who loves building tools for other engineers. You understand the pain points of the modern development lifecycle and want to solve them with AI.
An Agentic Systems Specialist: You are experienced in building agentic flows (using state machines or agent frameworks) and know how to balance agency (allowing the tool to solve the problem) with precision (ensuring it doesn't break prod).
The "Data-First" Builder: You recognize that an AI assistant is only as good as the context it receives. You are skilled at data engineering and know how to serialize complex codebases for LLM consumption.
The "Moat" Builder: You see engineering velocity as a strategic differentiator. You are driven by the goal of making our engineering org so fast and reliable that we out-innovate the market.

Requirements:
7+ years of experience in product management within the technology sector, ideally with SaaS or B2B/B2C, or AI/ML products.
Proven track record of building and scaling complex, user-facing products from concept to launch, including both discovery and optimization phases.
Exceptional problem-solving skills, with the ability to break down complex issues and develop innovative solutions.
Outstanding communication skills, both verbal and written, with experience presenting to diverse audiences and senior stakeholders.
Demonstrated ability to manage and align multiple stakeholders, balancing competing priorities and driving consensus.
Strong analytical skills; comfortable digging deep into complex data to inform decisions and measure product success.
Bachelors degree in Computer Science, Engineering, or a related field; advanced degree is a plus.
Passion for travel technology and a desire to make business travel better for everyone.
Passion for learning new skills and working in a dynamic, high pace team.

Requirements:
7+ years of technical product management experience with demonstrated success building, launching, and scaling complex, highly technical platforms, ideally at a global SaaS company or tech-enabled consumer brand.
Bachelors or advanced degree in Computer Science, Engineering, AI/ML, Data Science, or equivalent technical discipline strongly preferred.
Hands-on experience in creating agentic products utilizing state-of-the-art AI technologies and platforms (e.g., OpenAI, LangChain, or equivalent autonomous agent-based frameworks).
Proven track record creating AI-centric products or platforms, with deep exposure to the latest technologies in artificial intelligence-such as generative AI, large language models (LLMs), agentic systems, MLops, and sophisticated data-driven architectures.
Ability to thrive in highly collaborative, dynamic environments where rapid iteration, experimentation, and agility are essential.

Requirements:
At our company, our mission is to power the in-person connections that move people, ideas and businesses forward. We help our travelers focus on being there, not getting there and our Global Operations and Service team is central to this mission!
As a member of our quickly growing Global Operations and Service team, you will be responsible for directly supporting our users travel needs. As owners of customer satisfaction, your role is to solve issues, communicate effectively, and collaborate with internal teams to remove any barriers for the traveler - all while providing a best-in-class customer experience. As the front line of our business, you will have a unique opportunity to provide regular feedback to our product, design and engineering teams as they work towards continually improving our customer facing and internal platforms. This is an exciting role where you will have a direct impact on our day to day operations, traveler experience and product development!
What Youll Do:
Assist our travelers with best-in-class travel support through multiple contact channels: chat, call and email.
Maintain extensive supplier, destination and system knowledge.
Make quick and accurate analyses of customer needs, persona and level of urgency.
Provide accurate information for hotel, flight, car and rail bookings, as required
Support users with self-service of the company platform and app where possible.
Respond to customers within SLA expectations and requirements.
Follow company and customer travel and expense procedures and policies in addition to global compliance procedures.
Provide regular feedback to stakeholders on the progress of goals and performance of key operating processes.
Participate in team meetings to stay up to date with new product launches, supplier updates, and industry changes.

Requirements:
We are looking for a highly skilled User Acquisition Manager to join the company growth team. You will own our performance activity, driving growth through scalable acquisition strategies across social and discovery platforms. The ideal candidate is a performance-driven professional with 3-4 years of experience who can balance technical campaign management with high-impact creative intuition.
What Youll Do
Discovery Channel Leadership: Lead the planning and execution of high-scale performance campaigns across social discovery channels, ensuring our company stays top-of-mind in the feed.
Full-Funnel Optimization: Drive the end-to-end strategy for user acquisition, optimizing every touchpoint from the first "scroll-stopping" ad impression to the final signup.
Data-Driven Scaling: Utilize a rigorous analytical approach to monitor campaign performance, identifying areas for cost reduction, efficiency improvements, and aggressive scaling opportunities.
Agile Performance Management: Maintain a pulse on budgets and real-time KPIs, identifying immediate opportunities to pivot strategies for maximum efficiency.
Experimentation & Innovation: Design and execute a relentless testing roadmap-covering new audience segments, bidding strategies, and ad formats-to stay ahead of market trends.
Creative Strategy: Partner with creative teams to produce trend-aware video content and UGC, using data-driven insights to iterate on high-performing hooks.
What Were Looking For
Proven UA Track Record: 3-4 years of experience managing large-scale budgets in a B2C or B2B2C environment from a leading SaaS company.
Discovery Mastery: Deep, hands-on expertise in social discovery platforms, with a primary focus on Meta. You know how to navigate the auction, leverage algorithms, and optimize for high-intent conversions.
Growth Analytics: Demonstrated ability to analyze performance metrics to drive high-stakes optimization decisions and tell a compelling story through data.
AI & Tech Savvy: A passion for leveraging AI tools to accelerate creative workflows, automate reporting, and maintain a high-velocity output.
Mindset: An open-minded, agile professional who thrives in a fast-paced environment and is comfortable with rapid, daily experimentation.
Education: Bachelors degree in Marketing, Business, or a related field.